Initial commit: Complete WooCommerce Smart Google Pricing plugin with vendor dependencies

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleApiHttpBody.php

@@ -0,0 +1,95 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleApiHttpBody extends \Google\Collection
+{
+  protected $collection_key = 'extensions';
+  /**
+   * The HTTP Content-Type header value specifying the content type of the body.
+   *
+   * @var string
+   */
+  public $contentType;
+  /**
+   * The HTTP request/response body as raw binary.
+   *
+   * @var string
+   */
+  public $data;
+  /**
+   * Application specific response metadata. Must be set in the first response
+   * for streaming APIs.
+   *
+   * @var array[]
+   */
+  public $extensions;
+
+  /**
+   * The HTTP Content-Type header value specifying the content type of the body.
+   *
+   * @param string $contentType
+   */
+  public function setContentType($contentType)
+  {
+    $this->contentType = $contentType;
+  }
+  /**
+   * @return string
+   */
+  public function getContentType()
+  {
+    return $this->contentType;
+  }
+  /**
+   * The HTTP request/response body as raw binary.
+   *
+   * @param string $data
+   */
+  public function setData($data)
+  {
+    $this->data = $data;
+  }
+  /**
+   * @return string
+   */
+  public function getData()
+  {
+    return $this->data;
+  }
+  /**
+   * Application specific response metadata. Must be set in the first response
+   * for streaming APIs.
+   *
+   * @param array[] $extensions
+   */
+  public function setExtensions($extensions)
+  {
+    $this->extensions = $extensions;
+  }
+  /**
+   * @return array[]
+   */
+  public function getExtensions()
+  {
+    return $this->extensions;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleApiHttpBody::class, 'Google_Service_CloudMachineLearningEngine_GoogleApiHttpBody');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1AcceleratorConfig.php

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+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1AcceleratorConfig extends \Google\Model
+{
+  /**
+   * Unspecified accelerator type. Default to no GPU.
+   */
+  public const TYPE_ACCELERATOR_TYPE_UNSPECIFIED = 'ACCELERATOR_TYPE_UNSPECIFIED';
+  /**
+   * Nvidia Tesla K80 GPU.
+   */
+  public const TYPE_NVIDIA_TESLA_K80 = 'NVIDIA_TESLA_K80';
+  /**
+   * Nvidia Tesla P100 GPU.
+   */
+  public const TYPE_NVIDIA_TESLA_P100 = 'NVIDIA_TESLA_P100';
+  /**
+   * Nvidia V100 GPU.
+   */
+  public const TYPE_NVIDIA_TESLA_V100 = 'NVIDIA_TESLA_V100';
+  /**
+   * Nvidia Tesla P4 GPU.
+   */
+  public const TYPE_NVIDIA_TESLA_P4 = 'NVIDIA_TESLA_P4';
+  /**
+   * Nvidia T4 GPU.
+   */
+  public const TYPE_NVIDIA_TESLA_T4 = 'NVIDIA_TESLA_T4';
+  /**
+   * Nvidia A100 GPU.
+   */
+  public const TYPE_NVIDIA_TESLA_A100 = 'NVIDIA_TESLA_A100';
+  /**
+   * TPU v2.
+   */
+  public const TYPE_TPU_V2 = 'TPU_V2';
+  /**
+   * TPU v3.
+   */
+  public const TYPE_TPU_V3 = 'TPU_V3';
+  /**
+   * TPU v2 POD.
+   */
+  public const TYPE_TPU_V2_POD = 'TPU_V2_POD';
+  /**
+   * TPU v3 POD.
+   */
+  public const TYPE_TPU_V3_POD = 'TPU_V3_POD';
+  /**
+   * TPU v4 POD.
+   */
+  public const TYPE_TPU_V4_POD = 'TPU_V4_POD';
+  /**
+   * The number of accelerators to attach to each machine running the job.
+   *
+   * @var string
+   */
+  public $count;
+  /**
+   * The type of accelerator to use.
+   *
+   * @var string
+   */
+  public $type;
+
+  /**
+   * The number of accelerators to attach to each machine running the job.
+   *
+   * @param string $count
+   */
+  public function setCount($count)
+  {
+    $this->count = $count;
+  }
+  /**
+   * @return string
+   */
+  public function getCount()
+  {
+    return $this->count;
+  }
+  /**
+   * The type of accelerator to use.
+   *
+   * Accepted values: ACCELERATOR_TYPE_UNSPECIFIED, NVIDIA_TESLA_K80,
+   * NVIDIA_TESLA_P100, NVIDIA_TESLA_V100, NVIDIA_TESLA_P4, NVIDIA_TESLA_T4,
+   * NVIDIA_TESLA_A100, TPU_V2, TPU_V3, TPU_V2_POD, TPU_V3_POD, TPU_V4_POD
+   *
+   * @param self::TYPE_* $type
+   */
+  public function setType($type)
+  {
+    $this->type = $type;
+  }
+  /**
+   * @return self::TYPE_*
+   */
+  public function getType()
+  {
+    return $this->type;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1AcceleratorConfig::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1AcceleratorConfig');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1AddTrialMeasurementRequest.php

@@ -0,0 +1,44 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1AddTrialMeasurementRequest extends \Google\Model
+{
+  protected $measurementType = GoogleCloudMlV1Measurement::class;
+  protected $measurementDataType = '';
+
+  /**
+   * Required. The measurement to be added to a trial.
+   *
+   * @param GoogleCloudMlV1Measurement $measurement
+   */
+  public function setMeasurement(GoogleCloudMlV1Measurement $measurement)
+  {
+    $this->measurement = $measurement;
+  }
+  /**
+   * @return GoogleCloudMlV1Measurement
+   */
+  public function getMeasurement()
+  {
+    return $this->measurement;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1AddTrialMeasurementRequest::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1AddTrialMeasurementRequest');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1AutoScaling.php

@@ -0,0 +1,138 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1AutoScaling extends \Google\Collection
+{
+  protected $collection_key = 'metrics';
+  /**
+   * The maximum number of nodes to scale this model under load. The actual
+   * value will depend on resource quota and availability.
+   *
+   * @var int
+   */
+  public $maxNodes;
+  protected $metricsType = GoogleCloudMlV1MetricSpec::class;
+  protected $metricsDataType = 'array';
+  /**
+   * Optional. The minimum number of nodes to allocate for this model. These
+   * nodes are always up, starting from the time the model is deployed.
+   * Therefore, the cost of operating this model will be at least `rate` *
+   * `min_nodes` * number of hours since last billing cycle, where `rate` is the
+   * cost per node-hour as documented in the [pricing guide](/ml-
+   * engine/docs/pricing), even if no predictions are performed. There is
+   * additional cost for each prediction performed. Unlike manual scaling, if
+   * the load gets too heavy for the nodes that are up, the service will
+   * automatically add nodes to handle the increased load as well as scale back
+   * as traffic drops, always maintaining at least `min_nodes`. You will be
+   * charged for the time in which additional nodes are used. If `min_nodes` is
+   * not specified and AutoScaling is used with a [legacy (MLS1) machine
+   * type](/ml-engine/docs/machine-types-online-prediction), `min_nodes`
+   * defaults to 0, in which case, when traffic to a model stops (and after a
+   * cool-down period), nodes will be shut down and no charges will be incurred
+   * until traffic to the model resumes. If `min_nodes` is not specified and
+   * AutoScaling is used with a [Compute Engine (N1) machine type](/ml-
+   * engine/docs/machine-types-online-prediction), `min_nodes` defaults to 1.
+   * `min_nodes` must be at least 1 for use with a Compute Engine machine type.
+   * You can set `min_nodes` when creating the model version, and you can also
+   * update `min_nodes` for an existing version: update_body.json: {
+   * 'autoScaling': { 'minNodes': 5 } } HTTP request: PATCH https://ml.googleapi
+   * s.com/v1/{name=projects/models/versions}?update_mask=autoScaling.minNodes
+   * -d @./update_body.json
+   *
+   * @var int
+   */
+  public $minNodes;
+
+  /**
+   * The maximum number of nodes to scale this model under load. The actual
+   * value will depend on resource quota and availability.
+   *
+   * @param int $maxNodes
+   */
+  public function setMaxNodes($maxNodes)
+  {
+    $this->maxNodes = $maxNodes;
+  }
+  /**
+   * @return int
+   */
+  public function getMaxNodes()
+  {
+    return $this->maxNodes;
+  }
+  /**
+   * MetricSpec contains the specifications to use to calculate the desired
+   * nodes count.
+   *
+   * @param GoogleCloudMlV1MetricSpec[] $metrics
+   */
+  public function setMetrics($metrics)
+  {
+    $this->metrics = $metrics;
+  }
+  /**
+   * @return GoogleCloudMlV1MetricSpec[]
+   */
+  public function getMetrics()
+  {
+    return $this->metrics;
+  }
+  /**
+   * Optional. The minimum number of nodes to allocate for this model. These
+   * nodes are always up, starting from the time the model is deployed.
+   * Therefore, the cost of operating this model will be at least `rate` *
+   * `min_nodes` * number of hours since last billing cycle, where `rate` is the
+   * cost per node-hour as documented in the [pricing guide](/ml-
+   * engine/docs/pricing), even if no predictions are performed. There is
+   * additional cost for each prediction performed. Unlike manual scaling, if
+   * the load gets too heavy for the nodes that are up, the service will
+   * automatically add nodes to handle the increased load as well as scale back
+   * as traffic drops, always maintaining at least `min_nodes`. You will be
+   * charged for the time in which additional nodes are used. If `min_nodes` is
+   * not specified and AutoScaling is used with a [legacy (MLS1) machine
+   * type](/ml-engine/docs/machine-types-online-prediction), `min_nodes`
+   * defaults to 0, in which case, when traffic to a model stops (and after a
+   * cool-down period), nodes will be shut down and no charges will be incurred
+   * until traffic to the model resumes. If `min_nodes` is not specified and
+   * AutoScaling is used with a [Compute Engine (N1) machine type](/ml-
+   * engine/docs/machine-types-online-prediction), `min_nodes` defaults to 1.
+   * `min_nodes` must be at least 1 for use with a Compute Engine machine type.
+   * You can set `min_nodes` when creating the model version, and you can also
+   * update `min_nodes` for an existing version: update_body.json: {
+   * 'autoScaling': { 'minNodes': 5 } } HTTP request: PATCH https://ml.googleapi
+   * s.com/v1/{name=projects/models/versions}?update_mask=autoScaling.minNodes
+   * -d @./update_body.json
+   *
+   * @param int $minNodes
+   */
+  public function setMinNodes($minNodes)
+  {
+    $this->minNodes = $minNodes;
+  }
+  /**
+   * @return int
+   */
+  public function getMinNodes()
+  {
+    return $this->minNodes;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1AutoScaling::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1AutoScaling');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1AutomatedStoppingConfig.php

@@ -0,0 +1,58 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1AutomatedStoppingConfig extends \Google\Model
+{
+  protected $decayCurveStoppingConfigType = GoogleCloudMlV1AutomatedStoppingConfigDecayCurveAutomatedStoppingConfig::class;
+  protected $decayCurveStoppingConfigDataType = '';
+  protected $medianAutomatedStoppingConfigType = GoogleCloudMlV1AutomatedStoppingConfigMedianAutomatedStoppingConfig::class;
+  protected $medianAutomatedStoppingConfigDataType = '';
+
+  /**
+   * @param GoogleCloudMlV1AutomatedStoppingConfigDecayCurveAutomatedStoppingConfig $decayCurveStoppingConfig
+   */
+  public function setDecayCurveStoppingConfig(GoogleCloudMlV1AutomatedStoppingConfigDecayCurveAutomatedStoppingConfig $decayCurveStoppingConfig)
+  {
+    $this->decayCurveStoppingConfig = $decayCurveStoppingConfig;
+  }
+  /**
+   * @return GoogleCloudMlV1AutomatedStoppingConfigDecayCurveAutomatedStoppingConfig
+   */
+  public function getDecayCurveStoppingConfig()
+  {
+    return $this->decayCurveStoppingConfig;
+  }
+  /**
+   * @param GoogleCloudMlV1AutomatedStoppingConfigMedianAutomatedStoppingConfig $medianAutomatedStoppingConfig
+   */
+  public function setMedianAutomatedStoppingConfig(GoogleCloudMlV1AutomatedStoppingConfigMedianAutomatedStoppingConfig $medianAutomatedStoppingConfig)
+  {
+    $this->medianAutomatedStoppingConfig = $medianAutomatedStoppingConfig;
+  }
+  /**
+   * @return GoogleCloudMlV1AutomatedStoppingConfigMedianAutomatedStoppingConfig
+   */
+  public function getMedianAutomatedStoppingConfig()
+  {
+    return $this->medianAutomatedStoppingConfig;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1AutomatedStoppingConfig::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1AutomatedStoppingConfig');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1AutomatedStoppingConfigDecayCurveAutomatedStoppingConfig.php

@@ -0,0 +1,50 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1AutomatedStoppingConfigDecayCurveAutomatedStoppingConfig extends \Google\Model
+{
+  /**
+   * If true, measurement.elapsed_time is used as the x-axis of each Trials
+   * Decay Curve. Otherwise, Measurement.steps will be used as the x-axis.
+   *
+   * @var bool
+   */
+  public $useElapsedTime;
+
+  /**
+   * If true, measurement.elapsed_time is used as the x-axis of each Trials
+   * Decay Curve. Otherwise, Measurement.steps will be used as the x-axis.
+   *
+   * @param bool $useElapsedTime
+   */
+  public function setUseElapsedTime($useElapsedTime)
+  {
+    $this->useElapsedTime = $useElapsedTime;
+  }
+  /**
+   * @return bool
+   */
+  public function getUseElapsedTime()
+  {
+    return $this->useElapsedTime;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1AutomatedStoppingConfigDecayCurveAutomatedStoppingConfig::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1AutomatedStoppingConfigDecayCurveAutomatedStoppingConfig');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1AutomatedStoppingConfigMedianAutomatedStoppingConfig.php

@@ -0,0 +1,54 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1AutomatedStoppingConfigMedianAutomatedStoppingConfig extends \Google\Model
+{
+  /**
+   * If true, the median automated stopping rule applies to
+   * measurement.use_elapsed_time, which means the elapsed_time field of the
+   * current trial's latest measurement is used to compute the median objective
+   * value for each completed trial.
+   *
+   * @var bool
+   */
+  public $useElapsedTime;
+
+  /**
+   * If true, the median automated stopping rule applies to
+   * measurement.use_elapsed_time, which means the elapsed_time field of the
+   * current trial's latest measurement is used to compute the median objective
+   * value for each completed trial.
+   *
+   * @param bool $useElapsedTime
+   */
+  public function setUseElapsedTime($useElapsedTime)
+  {
+    $this->useElapsedTime = $useElapsedTime;
+  }
+  /**
+   * @return bool
+   */
+  public function getUseElapsedTime()
+  {
+    return $this->useElapsedTime;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1AutomatedStoppingConfigMedianAutomatedStoppingConfig::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1AutomatedStoppingConfigMedianAutomatedStoppingConfig');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1BuiltInAlgorithmOutput.php

@@ -0,0 +1,118 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1BuiltInAlgorithmOutput extends \Google\Model
+{
+  /**
+   * Framework on which the built-in algorithm was trained.
+   *
+   * @var string
+   */
+  public $framework;
+  /**
+   * The Cloud Storage path to the `model/` directory where the training job
+   * saves the trained model. Only set for successful jobs that don't use
+   * hyperparameter tuning.
+   *
+   * @var string
+   */
+  public $modelPath;
+  /**
+   * Python version on which the built-in algorithm was trained.
+   *
+   * @var string
+   */
+  public $pythonVersion;
+  /**
+   * AI Platform runtime version on which the built-in algorithm was trained.
+   *
+   * @var string
+   */
+  public $runtimeVersion;
+
+  /**
+   * Framework on which the built-in algorithm was trained.
+   *
+   * @param string $framework
+   */
+  public function setFramework($framework)
+  {
+    $this->framework = $framework;
+  }
+  /**
+   * @return string
+   */
+  public function getFramework()
+  {
+    return $this->framework;
+  }
+  /**
+   * The Cloud Storage path to the `model/` directory where the training job
+   * saves the trained model. Only set for successful jobs that don't use
+   * hyperparameter tuning.
+   *
+   * @param string $modelPath
+   */
+  public function setModelPath($modelPath)
+  {
+    $this->modelPath = $modelPath;
+  }
+  /**
+   * @return string
+   */
+  public function getModelPath()
+  {
+    return $this->modelPath;
+  }
+  /**
+   * Python version on which the built-in algorithm was trained.
+   *
+   * @param string $pythonVersion
+   */
+  public function setPythonVersion($pythonVersion)
+  {
+    $this->pythonVersion = $pythonVersion;
+  }
+  /**
+   * @return string
+   */
+  public function getPythonVersion()
+  {
+    return $this->pythonVersion;
+  }
+  /**
+   * AI Platform runtime version on which the built-in algorithm was trained.
+   *
+   * @param string $runtimeVersion
+   */
+  public function setRuntimeVersion($runtimeVersion)
+  {
+    $this->runtimeVersion = $runtimeVersion;
+  }
+  /**
+   * @return string
+   */
+  public function getRuntimeVersion()
+  {
+    return $this->runtimeVersion;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1BuiltInAlgorithmOutput::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1BuiltInAlgorithmOutput');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1CancelJobRequest.php

@@ -0,0 +1,25 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1CancelJobRequest extends \Google\Model
+{
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1CancelJobRequest::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1CancelJobRequest');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1Capability.php

@@ -0,0 +1,71 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1Capability extends \Google\Collection
+{
+  public const TYPE_TYPE_UNSPECIFIED = 'TYPE_UNSPECIFIED';
+  public const TYPE_TRAINING = 'TRAINING';
+  public const TYPE_BATCH_PREDICTION = 'BATCH_PREDICTION';
+  public const TYPE_ONLINE_PREDICTION = 'ONLINE_PREDICTION';
+  protected $collection_key = 'availableAccelerators';
+  /**
+   * Available accelerators for the capability.
+   *
+   * @var string[]
+   */
+  public $availableAccelerators;
+  /**
+   * @var string
+   */
+  public $type;
+
+  /**
+   * Available accelerators for the capability.
+   *
+   * @param string[] $availableAccelerators
+   */
+  public function setAvailableAccelerators($availableAccelerators)
+  {
+    $this->availableAccelerators = $availableAccelerators;
+  }
+  /**
+   * @return string[]
+   */
+  public function getAvailableAccelerators()
+  {
+    return $this->availableAccelerators;
+  }
+  /**
+   * @param self::TYPE_* $type
+   */
+  public function setType($type)
+  {
+    $this->type = $type;
+  }
+  /**
+   * @return self::TYPE_*
+   */
+  public function getType()
+  {
+    return $this->type;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1Capability::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1Capability');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1CheckTrialEarlyStoppingStateMetatdata.php

@@ -0,0 +1,92 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1CheckTrialEarlyStoppingStateMetatdata extends \Google\Model
+{
+  /**
+   * The time at which the operation was submitted.
+   *
+   * @var string
+   */
+  public $createTime;
+  /**
+   * The name of the study that the trial belongs to.
+   *
+   * @var string
+   */
+  public $study;
+  /**
+   * The trial name.
+   *
+   * @var string
+   */
+  public $trial;
+
+  /**
+   * The time at which the operation was submitted.
+   *
+   * @param string $createTime
+   */
+  public function setCreateTime($createTime)
+  {
+    $this->createTime = $createTime;
+  }
+  /**
+   * @return string
+   */
+  public function getCreateTime()
+  {
+    return $this->createTime;
+  }
+  /**
+   * The name of the study that the trial belongs to.
+   *
+   * @param string $study
+   */
+  public function setStudy($study)
+  {
+    $this->study = $study;
+  }
+  /**
+   * @return string
+   */
+  public function getStudy()
+  {
+    return $this->study;
+  }
+  /**
+   * The trial name.
+   *
+   * @param string $trial
+   */
+  public function setTrial($trial)
+  {
+    $this->trial = $trial;
+  }
+  /**
+   * @return string
+   */
+  public function getTrial()
+  {
+    return $this->trial;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1CheckTrialEarlyStoppingStateMetatdata::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1CheckTrialEarlyStoppingStateMetatdata');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1CheckTrialEarlyStoppingStateRequest.php

@@ -0,0 +1,25 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1CheckTrialEarlyStoppingStateRequest extends \Google\Model
+{
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1CheckTrialEarlyStoppingStateRequest::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1CheckTrialEarlyStoppingStateRequest');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1CheckTrialEarlyStoppingStateResponse.php

@@ -0,0 +1,92 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1CheckTrialEarlyStoppingStateResponse extends \Google\Model
+{
+  /**
+   * The time at which operation processing completed.
+   *
+   * @var string
+   */
+  public $endTime;
+  /**
+   * True if the Trial should stop.
+   *
+   * @var bool
+   */
+  public $shouldStop;
+  /**
+   * The time at which the operation was started.
+   *
+   * @var string
+   */
+  public $startTime;
+
+  /**
+   * The time at which operation processing completed.
+   *
+   * @param string $endTime
+   */
+  public function setEndTime($endTime)
+  {
+    $this->endTime = $endTime;
+  }
+  /**
+   * @return string
+   */
+  public function getEndTime()
+  {
+    return $this->endTime;
+  }
+  /**
+   * True if the Trial should stop.
+   *
+   * @param bool $shouldStop
+   */
+  public function setShouldStop($shouldStop)
+  {
+    $this->shouldStop = $shouldStop;
+  }
+  /**
+   * @return bool
+   */
+  public function getShouldStop()
+  {
+    return $this->shouldStop;
+  }
+  /**
+   * The time at which the operation was started.
+   *
+   * @param string $startTime
+   */
+  public function setStartTime($startTime)
+  {
+    $this->startTime = $startTime;
+  }
+  /**
+   * @return string
+   */
+  public function getStartTime()
+  {
+    return $this->startTime;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1CheckTrialEarlyStoppingStateResponse::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1CheckTrialEarlyStoppingStateResponse');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1CompleteTrialRequest.php

@@ -0,0 +1,94 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1CompleteTrialRequest extends \Google\Model
+{
+  protected $finalMeasurementType = GoogleCloudMlV1Measurement::class;
+  protected $finalMeasurementDataType = '';
+  /**
+   * Optional. A human readable reason why the trial was infeasible. This should
+   * only be provided if `trial_infeasible` is true.
+   *
+   * @var string
+   */
+  public $infeasibleReason;
+  /**
+   * Optional. True if the trial cannot be run with the given Parameter, and
+   * final_measurement will be ignored.
+   *
+   * @var bool
+   */
+  public $trialInfeasible;
+
+  /**
+   * Optional. If provided, it will be used as the completed trial's
+   * final_measurement; Otherwise, the service will auto-select a previously
+   * reported measurement as the final-measurement
+   *
+   * @param GoogleCloudMlV1Measurement $finalMeasurement
+   */
+  public function setFinalMeasurement(GoogleCloudMlV1Measurement $finalMeasurement)
+  {
+    $this->finalMeasurement = $finalMeasurement;
+  }
+  /**
+   * @return GoogleCloudMlV1Measurement
+   */
+  public function getFinalMeasurement()
+  {
+    return $this->finalMeasurement;
+  }
+  /**
+   * Optional. A human readable reason why the trial was infeasible. This should
+   * only be provided if `trial_infeasible` is true.
+   *
+   * @param string $infeasibleReason
+   */
+  public function setInfeasibleReason($infeasibleReason)
+  {
+    $this->infeasibleReason = $infeasibleReason;
+  }
+  /**
+   * @return string
+   */
+  public function getInfeasibleReason()
+  {
+    return $this->infeasibleReason;
+  }
+  /**
+   * Optional. True if the trial cannot be run with the given Parameter, and
+   * final_measurement will be ignored.
+   *
+   * @param bool $trialInfeasible
+   */
+  public function setTrialInfeasible($trialInfeasible)
+  {
+    $this->trialInfeasible = $trialInfeasible;
+  }
+  /**
+   * @return bool
+   */
+  public function getTrialInfeasible()
+  {
+    return $this->trialInfeasible;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1CompleteTrialRequest::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1CompleteTrialRequest');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1Config.php

@@ -0,0 +1,48 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1Config extends \Google\Model
+{
+  /**
+   * The service account Cloud ML uses to run on TPU node.
+   *
+   * @var string
+   */
+  public $tpuServiceAccount;
+
+  /**
+   * The service account Cloud ML uses to run on TPU node.
+   *
+   * @param string $tpuServiceAccount
+   */
+  public function setTpuServiceAccount($tpuServiceAccount)
+  {
+    $this->tpuServiceAccount = $tpuServiceAccount;
+  }
+  /**
+   * @return string
+   */
+  public function getTpuServiceAccount()
+  {
+    return $this->tpuServiceAccount;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1Config::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1Config');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1ContainerPort.php

@@ -0,0 +1,50 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1ContainerPort extends \Google\Model
+{
+  /**
+   * Number of the port to expose on the container. This must be a valid port
+   * number: 0 < PORT_NUMBER < 65536.
+   *
+   * @var int
+   */
+  public $containerPort;
+
+  /**
+   * Number of the port to expose on the container. This must be a valid port
+   * number: 0 < PORT_NUMBER < 65536.
+   *
+   * @param int $containerPort
+   */
+  public function setContainerPort($containerPort)
+  {
+    $this->containerPort = $containerPort;
+  }
+  /**
+   * @return int
+   */
+  public function getContainerPort()
+  {
+    return $this->containerPort;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1ContainerPort::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1ContainerPort');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1ContainerSpec.php

@@ -0,0 +1,305 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1ContainerSpec extends \Google\Collection
+{
+  protected $collection_key = 'ports';
+  /**
+   * Immutable. Specifies arguments for the command that runs when the container
+   * starts. This overrides the container's
+   * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
+   * this field as an array of executable and arguments, similar to a Docker
+   * `CMD`'s "default parameters" form. If you don't specify this field but do
+   * specify the command field, then the command from the `command` field runs
+   * without any additional arguments. See the [Kubernetes documentation about
+   * how the `command` and `args` fields interact with a container's
+   * `ENTRYPOINT` and `CMD`](https://kubernetes.io/docs/tasks/inject-data-
+   * application/define-command-argument-container/#notes). If you don't specify
+   * this field and don't specify the `commmand` field, then the container's
+   * [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and
+   * `CMD` determine what runs based on their default behavior. See the [Docker
+   * documentation about how `CMD` and `ENTRYPOINT`
+   * interact](https://docs.docker.com/engine/reference/builder/#understand-how-
+   * cmd-and-entrypoint-interact). In this field, you can reference [environment
+   * variables set by AI Platform Prediction](/ai-
+   * platform/prediction/docs/custom-container-requirements#aip-variables) and
+   * environment variables set in the env field. You cannot reference
+   * environment variables set in the Docker image. In order for environment
+   * variables to be expanded, reference them by using the following syntax: $(
+   * VARIABLE_NAME) Note that this differs from Bash variable expansion, which
+   * does not use parentheses. If a variable cannot be resolved, the reference
+   * in the input string is used unchanged. To avoid variable expansion, you can
+   * escape this syntax with `$$`; for example: $$(VARIABLE_NAME) This field
+   * corresponds to the `args` field of the [Kubernetes Containers v1 core
+   * API](https://kubernetes.io/docs/reference/generated/kubernetes-
+   * api/v1.18/#container-v1-core).
+   *
+   * @var string[]
+   */
+  public $args;
+  /**
+   * Immutable. Specifies the command that runs when the container starts. This
+   * overrides the container's [`ENTRYPOINT`](https://docs.docker.com/engine/ref
+   * erence/builder/#entrypoint). Specify this field as an array of executable
+   * and arguments, similar to a Docker `ENTRYPOINT`'s "exec" form, not its
+   * "shell" form. If you do not specify this field, then the container's
+   * `ENTRYPOINT` runs, in conjunction with the args field or the container's
+   * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd), if either
+   * exists. If this field is not specified and the container does not have an
+   * `ENTRYPOINT`, then refer to the [Docker documentation about how `CMD` and
+   * `ENTRYPOINT`
+   * interact](https://docs.docker.com/engine/reference/builder/#understand-how-
+   * cmd-and-entrypoint-interact). If you specify this field, then you can also
+   * specify the `args` field to provide additional arguments for this command.
+   * However, if you specify this field, then the container's `CMD` is ignored.
+   * See the [Kubernetes documentation about how the `command` and `args` fields
+   * interact with a container's `ENTRYPOINT` and
+   * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-
+   * command-argument-container/#notes). In this field, you can reference
+   * [environment variables set by AI Platform Prediction](/ai-
+   * platform/prediction/docs/custom-container-requirements#aip-variables) and
+   * environment variables set in the env field. You cannot reference
+   * environment variables set in the Docker image. In order for environment
+   * variables to be expanded, reference them by using the following syntax: $(
+   * VARIABLE_NAME) Note that this differs from Bash variable expansion, which
+   * does not use parentheses. If a variable cannot be resolved, the reference
+   * in the input string is used unchanged. To avoid variable expansion, you can
+   * escape this syntax with `$$`; for example: $$(VARIABLE_NAME) This field
+   * corresponds to the `command` field of the [Kubernetes Containers v1 core
+   * API](https://kubernetes.io/docs/reference/generated/kubernetes-
+   * api/v1.18/#container-v1-core).
+   *
+   * @var string[]
+   */
+  public $command;
+  protected $envType = GoogleCloudMlV1EnvVar::class;
+  protected $envDataType = 'array';
+  /**
+   * URI of the Docker image to be used as the custom container for serving
+   * predictions. This URI must identify [an image in Artifact
+   * Registry](/artifact-registry/docs/overview) and begin with the hostname
+   * `{REGION}-docker.pkg.dev`, where `{REGION}` is replaced by the region that
+   * matches AI Platform Prediction [regional endpoint](/ai-
+   * platform/prediction/docs/regional-endpoints) that you are using. For
+   * example, if you are using the `us-central1-ml.googleapis.com` endpoint,
+   * then this URI must begin with `us-central1-docker.pkg.dev`. To use a custom
+   * container, the [AI Platform Google-managed service account](/ai-
+   * platform/prediction/docs/custom-service-account#default) must have
+   * permission to pull (read) the Docker image at this URI. The AI Platform
+   * Google-managed service account has the following format:
+   * `service-{PROJECT_NUMBER}@cloud-ml.google.com.iam.gserviceaccount.com`
+   * {PROJECT_NUMBER} is replaced by your Google Cloud project number. By
+   * default, this service account has necessary permissions to pull an Artifact
+   * Registry image in the same Google Cloud project where you are using AI
+   * Platform Prediction. In this case, no configuration is necessary. If you
+   * want to use an image from a different Google Cloud project, learn how to
+   * [grant the Artifact Registry Reader (roles/artifactregistry.reader) role
+   * for a repository](/artifact-registry/docs/access-control#grant-repo) to
+   * your projet's AI Platform Google-managed service account. To learn about
+   * the requirements for the Docker image itself, read [Custom container
+   * requirements](/ai-platform/prediction/docs/custom-container-requirements).
+   *
+   * @var string
+   */
+  public $image;
+  protected $portsType = GoogleCloudMlV1ContainerPort::class;
+  protected $portsDataType = 'array';
+
+  /**
+   * Immutable. Specifies arguments for the command that runs when the container
+   * starts. This overrides the container's
+   * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
+   * this field as an array of executable and arguments, similar to a Docker
+   * `CMD`'s "default parameters" form. If you don't specify this field but do
+   * specify the command field, then the command from the `command` field runs
+   * without any additional arguments. See the [Kubernetes documentation about
+   * how the `command` and `args` fields interact with a container's
+   * `ENTRYPOINT` and `CMD`](https://kubernetes.io/docs/tasks/inject-data-
+   * application/define-command-argument-container/#notes). If you don't specify
+   * this field and don't specify the `commmand` field, then the container's
+   * [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and
+   * `CMD` determine what runs based on their default behavior. See the [Docker
+   * documentation about how `CMD` and `ENTRYPOINT`
+   * interact](https://docs.docker.com/engine/reference/builder/#understand-how-
+   * cmd-and-entrypoint-interact). In this field, you can reference [environment
+   * variables set by AI Platform Prediction](/ai-
+   * platform/prediction/docs/custom-container-requirements#aip-variables) and
+   * environment variables set in the env field. You cannot reference
+   * environment variables set in the Docker image. In order for environment
+   * variables to be expanded, reference them by using the following syntax: $(
+   * VARIABLE_NAME) Note that this differs from Bash variable expansion, which
+   * does not use parentheses. If a variable cannot be resolved, the reference
+   * in the input string is used unchanged. To avoid variable expansion, you can
+   * escape this syntax with `$$`; for example: $$(VARIABLE_NAME) This field
+   * corresponds to the `args` field of the [Kubernetes Containers v1 core
+   * API](https://kubernetes.io/docs/reference/generated/kubernetes-
+   * api/v1.18/#container-v1-core).
+   *
+   * @param string[] $args
+   */
+  public function setArgs($args)
+  {
+    $this->args = $args;
+  }
+  /**
+   * @return string[]
+   */
+  public function getArgs()
+  {
+    return $this->args;
+  }
+  /**
+   * Immutable. Specifies the command that runs when the container starts. This
+   * overrides the container's [`ENTRYPOINT`](https://docs.docker.com/engine/ref
+   * erence/builder/#entrypoint). Specify this field as an array of executable
+   * and arguments, similar to a Docker `ENTRYPOINT`'s "exec" form, not its
+   * "shell" form. If you do not specify this field, then the container's
+   * `ENTRYPOINT` runs, in conjunction with the args field or the container's
+   * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd), if either
+   * exists. If this field is not specified and the container does not have an
+   * `ENTRYPOINT`, then refer to the [Docker documentation about how `CMD` and
+   * `ENTRYPOINT`
+   * interact](https://docs.docker.com/engine/reference/builder/#understand-how-
+   * cmd-and-entrypoint-interact). If you specify this field, then you can also
+   * specify the `args` field to provide additional arguments for this command.
+   * However, if you specify this field, then the container's `CMD` is ignored.
+   * See the [Kubernetes documentation about how the `command` and `args` fields
+   * interact with a container's `ENTRYPOINT` and
+   * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-
+   * command-argument-container/#notes). In this field, you can reference
+   * [environment variables set by AI Platform Prediction](/ai-
+   * platform/prediction/docs/custom-container-requirements#aip-variables) and
+   * environment variables set in the env field. You cannot reference
+   * environment variables set in the Docker image. In order for environment
+   * variables to be expanded, reference them by using the following syntax: $(
+   * VARIABLE_NAME) Note that this differs from Bash variable expansion, which
+   * does not use parentheses. If a variable cannot be resolved, the reference
+   * in the input string is used unchanged. To avoid variable expansion, you can
+   * escape this syntax with `$$`; for example: $$(VARIABLE_NAME) This field
+   * corresponds to the `command` field of the [Kubernetes Containers v1 core
+   * API](https://kubernetes.io/docs/reference/generated/kubernetes-
+   * api/v1.18/#container-v1-core).
+   *
+   * @param string[] $command
+   */
+  public function setCommand($command)
+  {
+    $this->command = $command;
+  }
+  /**
+   * @return string[]
+   */
+  public function getCommand()
+  {
+    return $this->command;
+  }
+  /**
+   * Immutable. List of environment variables to set in the container. After the
+   * container starts running, code running in the container can read these
+   * environment variables. Additionally, the command and args fields can
+   * reference these variables. Later entries in this list can also reference
+   * earlier entries. For example, the following example sets the variable
+   * `VAR_2` to have the value `foo bar`: ```json [ { "name": "VAR_1", "value":
+   * "foo" }, { "name": "VAR_2", "value": "$(VAR_1) bar" } ] ``` If you switch
+   * the order of the variables in the example, then the expansion does not
+   * occur. This field corresponds to the `env` field of the [Kubernetes
+   * Containers v1 core
+   * API](https://kubernetes.io/docs/reference/generated/kubernetes-
+   * api/v1.18/#container-v1-core).
+   *
+   * @param GoogleCloudMlV1EnvVar[] $env
+   */
+  public function setEnv($env)
+  {
+    $this->env = $env;
+  }
+  /**
+   * @return GoogleCloudMlV1EnvVar[]
+   */
+  public function getEnv()
+  {
+    return $this->env;
+  }
+  /**
+   * URI of the Docker image to be used as the custom container for serving
+   * predictions. This URI must identify [an image in Artifact
+   * Registry](/artifact-registry/docs/overview) and begin with the hostname
+   * `{REGION}-docker.pkg.dev`, where `{REGION}` is replaced by the region that
+   * matches AI Platform Prediction [regional endpoint](/ai-
+   * platform/prediction/docs/regional-endpoints) that you are using. For
+   * example, if you are using the `us-central1-ml.googleapis.com` endpoint,
+   * then this URI must begin with `us-central1-docker.pkg.dev`. To use a custom
+   * container, the [AI Platform Google-managed service account](/ai-
+   * platform/prediction/docs/custom-service-account#default) must have
+   * permission to pull (read) the Docker image at this URI. The AI Platform
+   * Google-managed service account has the following format:
+   * `service-{PROJECT_NUMBER}@cloud-ml.google.com.iam.gserviceaccount.com`
+   * {PROJECT_NUMBER} is replaced by your Google Cloud project number. By
+   * default, this service account has necessary permissions to pull an Artifact
+   * Registry image in the same Google Cloud project where you are using AI
+   * Platform Prediction. In this case, no configuration is necessary. If you
+   * want to use an image from a different Google Cloud project, learn how to
+   * [grant the Artifact Registry Reader (roles/artifactregistry.reader) role
+   * for a repository](/artifact-registry/docs/access-control#grant-repo) to
+   * your projet's AI Platform Google-managed service account. To learn about
+   * the requirements for the Docker image itself, read [Custom container
+   * requirements](/ai-platform/prediction/docs/custom-container-requirements).
+   *
+   * @param string $image
+   */
+  public function setImage($image)
+  {
+    $this->image = $image;
+  }
+  /**
+   * @return string
+   */
+  public function getImage()
+  {
+    return $this->image;
+  }
+  /**
+   * Immutable. List of ports to expose from the container. AI Platform
+   * Prediction sends any prediction requests that it receives to the first port
+   * on this list. AI Platform Prediction also sends [liveness and health
+   * checks](/ai-platform/prediction/docs/custom-container-requirements#health)
+   * to this port. If you do not specify this field, it defaults to following
+   * value: ```json [ { "containerPort": 8080 } ] ``` AI Platform Prediction
+   * does not use ports other than the first one listed. This field corresponds
+   * to the `ports` field of the [Kubernetes Containers v1 core
+   * API](https://kubernetes.io/docs/reference/generated/kubernetes-
+   * api/v1.18/#container-v1-core).
+   *
+   * @param GoogleCloudMlV1ContainerPort[] $ports
+   */
+  public function setPorts($ports)
+  {
+    $this->ports = $ports;
+  }
+  /**
+   * @return GoogleCloudMlV1ContainerPort[]
+   */
+  public function getPorts()
+  {
+    return $this->ports;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1ContainerSpec::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1ContainerSpec');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1DiskConfig.php

@@ -0,0 +1,74 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1DiskConfig extends \Google\Model
+{
+  /**
+   * Size in GB of the boot disk (default is 100GB).
+   *
+   * @var int
+   */
+  public $bootDiskSizeGb;
+  /**
+   * Type of the boot disk (default is "pd-ssd"). Valid values: "pd-ssd"
+   * (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard
+   * Disk Drive).
+   *
+   * @var string
+   */
+  public $bootDiskType;
+
+  /**
+   * Size in GB of the boot disk (default is 100GB).
+   *
+   * @param int $bootDiskSizeGb
+   */
+  public function setBootDiskSizeGb($bootDiskSizeGb)
+  {
+    $this->bootDiskSizeGb = $bootDiskSizeGb;
+  }
+  /**
+   * @return int
+   */
+  public function getBootDiskSizeGb()
+  {
+    return $this->bootDiskSizeGb;
+  }
+  /**
+   * Type of the boot disk (default is "pd-ssd"). Valid values: "pd-ssd"
+   * (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard
+   * Disk Drive).
+   *
+   * @param string $bootDiskType
+   */
+  public function setBootDiskType($bootDiskType)
+  {
+    $this->bootDiskType = $bootDiskType;
+  }
+  /**
+   * @return string
+   */
+  public function getBootDiskType()
+  {
+    return $this->bootDiskType;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1DiskConfig::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1DiskConfig');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1EncryptionConfig.php

@@ -0,0 +1,54 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1EncryptionConfig extends \Google\Model
+{
+  /**
+   * The Cloud KMS resource identifier of the customer-managed encryption key
+   * used to protect a resource, such as a training job. It has the following
+   * format: `projects/{PROJECT_ID}/locations/{REGION}/keyRings/{KEY_RING_NAME}/
+   * cryptoKeys/{KEY_NAME}`
+   *
+   * @var string
+   */
+  public $kmsKeyName;
+
+  /**
+   * The Cloud KMS resource identifier of the customer-managed encryption key
+   * used to protect a resource, such as a training job. It has the following
+   * format: `projects/{PROJECT_ID}/locations/{REGION}/keyRings/{KEY_RING_NAME}/
+   * cryptoKeys/{KEY_NAME}`
+   *
+   * @param string $kmsKeyName
+   */
+  public function setKmsKeyName($kmsKeyName)
+  {
+    $this->kmsKeyName = $kmsKeyName;
+  }
+  /**
+   * @return string
+   */
+  public function getKmsKeyName()
+  {
+    return $this->kmsKeyName;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1EncryptionConfig::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1EncryptionConfig');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1EnvVar.php

@@ -0,0 +1,96 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1EnvVar extends \Google\Model
+{
+  /**
+   * Name of the environment variable. Must be a [valid C identifier](https://gi
+   * thub.com/kubernetes/kubernetes/blob/v1.18.8/staging/src/k8s.io/apimachinery
+   * /pkg/util/validation/validation.go#L258) and must not begin with the prefix
+   * `AIP_`.
+   *
+   * @var string
+   */
+  public $name;
+  /**
+   * Value of the environment variable. Defaults to an empty string. In this
+   * field, you can reference [environment variables set by AI Platform
+   * Prediction](/ai-platform/prediction/docs/custom-container-requirements#aip-
+   * variables) and environment variables set earlier in the same env field as
+   * where this message occurs. You cannot reference environment variables set
+   * in the Docker image. In order for environment variables to be expanded,
+   * reference them by using the following syntax: $(VARIABLE_NAME) Note that
+   * this differs from Bash variable expansion, which does not use parentheses.
+   * If a variable cannot be resolved, the reference in the input string is used
+   * unchanged. To avoid variable expansion, you can escape this syntax with
+   * `$$`; for example: $$(VARIABLE_NAME)
+   *
+   * @var string
+   */
+  public $value;
+
+  /**
+   * Name of the environment variable. Must be a [valid C identifier](https://gi
+   * thub.com/kubernetes/kubernetes/blob/v1.18.8/staging/src/k8s.io/apimachinery
+   * /pkg/util/validation/validation.go#L258) and must not begin with the prefix
+   * `AIP_`.
+   *
+   * @param string $name
+   */
+  public function setName($name)
+  {
+    $this->name = $name;
+  }
+  /**
+   * @return string
+   */
+  public function getName()
+  {
+    return $this->name;
+  }
+  /**
+   * Value of the environment variable. Defaults to an empty string. In this
+   * field, you can reference [environment variables set by AI Platform
+   * Prediction](/ai-platform/prediction/docs/custom-container-requirements#aip-
+   * variables) and environment variables set earlier in the same env field as
+   * where this message occurs. You cannot reference environment variables set
+   * in the Docker image. In order for environment variables to be expanded,
+   * reference them by using the following syntax: $(VARIABLE_NAME) Note that
+   * this differs from Bash variable expansion, which does not use parentheses.
+   * If a variable cannot be resolved, the reference in the input string is used
+   * unchanged. To avoid variable expansion, you can escape this syntax with
+   * `$$`; for example: $$(VARIABLE_NAME)
+   *
+   * @param string $value
+   */
+  public function setValue($value)
+  {
+    $this->value = $value;
+  }
+  /**
+   * @return string
+   */
+  public function getValue()
+  {
+    return $this->value;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1EnvVar::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1EnvVar');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1ExplainRequest.php

@@ -0,0 +1,44 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1ExplainRequest extends \Google\Model
+{
+  protected $httpBodyType = GoogleApiHttpBody::class;
+  protected $httpBodyDataType = '';
+
+  /**
+   * Required. The explanation request body.
+   *
+   * @param GoogleApiHttpBody $httpBody
+   */
+  public function setHttpBody(GoogleApiHttpBody $httpBody)
+  {
+    $this->httpBody = $httpBody;
+  }
+  /**
+   * @return GoogleApiHttpBody
+   */
+  public function getHttpBody()
+  {
+    return $this->httpBody;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1ExplainRequest::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1ExplainRequest');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1ExplanationConfig.php

@@ -0,0 +1,87 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1ExplanationConfig extends \Google\Model
+{
+  protected $integratedGradientsAttributionType = GoogleCloudMlV1IntegratedGradientsAttribution::class;
+  protected $integratedGradientsAttributionDataType = '';
+  protected $sampledShapleyAttributionType = GoogleCloudMlV1SampledShapleyAttribution::class;
+  protected $sampledShapleyAttributionDataType = '';
+  protected $xraiAttributionType = GoogleCloudMlV1XraiAttribution::class;
+  protected $xraiAttributionDataType = '';
+
+  /**
+   * Attributes credit by computing the Aumann-Shapley value taking advantage of
+   * the model's fully differentiable structure. Refer to this paper for more
+   * details: https://arxiv.org/abs/1703.01365
+   *
+   * @param GoogleCloudMlV1IntegratedGradientsAttribution $integratedGradientsAttribution
+   */
+  public function setIntegratedGradientsAttribution(GoogleCloudMlV1IntegratedGradientsAttribution $integratedGradientsAttribution)
+  {
+    $this->integratedGradientsAttribution = $integratedGradientsAttribution;
+  }
+  /**
+   * @return GoogleCloudMlV1IntegratedGradientsAttribution
+   */
+  public function getIntegratedGradientsAttribution()
+  {
+    return $this->integratedGradientsAttribution;
+  }
+  /**
+   * An attribution method that approximates Shapley values for features that
+   * contribute to the label being predicted. A sampling strategy is used to
+   * approximate the value rather than considering all subsets of features.
+   *
+   * @param GoogleCloudMlV1SampledShapleyAttribution $sampledShapleyAttribution
+   */
+  public function setSampledShapleyAttribution(GoogleCloudMlV1SampledShapleyAttribution $sampledShapleyAttribution)
+  {
+    $this->sampledShapleyAttribution = $sampledShapleyAttribution;
+  }
+  /**
+   * @return GoogleCloudMlV1SampledShapleyAttribution
+   */
+  public function getSampledShapleyAttribution()
+  {
+    return $this->sampledShapleyAttribution;
+  }
+  /**
+   * Attributes credit by computing the XRAI taking advantage of the model's
+   * fully differentiable structure. Refer to this paper for more details:
+   * https://arxiv.org/abs/1906.02825 Currently only implemented for models with
+   * natural image inputs.
+   *
+   * @param GoogleCloudMlV1XraiAttribution $xraiAttribution
+   */
+  public function setXraiAttribution(GoogleCloudMlV1XraiAttribution $xraiAttribution)
+  {
+    $this->xraiAttribution = $xraiAttribution;
+  }
+  /**
+   * @return GoogleCloudMlV1XraiAttribution
+   */
+  public function getXraiAttribution()
+  {
+    return $this->xraiAttribution;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1ExplanationConfig::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1ExplanationConfig');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1GetConfigResponse.php

@@ -0,0 +1,86 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1GetConfigResponse extends \Google\Model
+{
+  protected $configType = GoogleCloudMlV1Config::class;
+  protected $configDataType = '';
+  /**
+   * The service account Cloud ML uses to access resources in the project.
+   *
+   * @var string
+   */
+  public $serviceAccount;
+  /**
+   * The project number for `service_account`.
+   *
+   * @var string
+   */
+  public $serviceAccountProject;
+
+  /**
+   * @param GoogleCloudMlV1Config $config
+   */
+  public function setConfig(GoogleCloudMlV1Config $config)
+  {
+    $this->config = $config;
+  }
+  /**
+   * @return GoogleCloudMlV1Config
+   */
+  public function getConfig()
+  {
+    return $this->config;
+  }
+  /**
+   * The service account Cloud ML uses to access resources in the project.
+   *
+   * @param string $serviceAccount
+   */
+  public function setServiceAccount($serviceAccount)
+  {
+    $this->serviceAccount = $serviceAccount;
+  }
+  /**
+   * @return string
+   */
+  public function getServiceAccount()
+  {
+    return $this->serviceAccount;
+  }
+  /**
+   * The project number for `service_account`.
+   *
+   * @param string $serviceAccountProject
+   */
+  public function setServiceAccountProject($serviceAccountProject)
+  {
+    $this->serviceAccountProject = $serviceAccountProject;
+  }
+  /**
+   * @return string
+   */
+  public function getServiceAccountProject()
+  {
+    return $this->serviceAccountProject;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1GetConfigResponse::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1GetConfigResponse');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1HyperparameterOutput.php

@@ -0,0 +1,288 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1HyperparameterOutput extends \Google\Collection
+{
+  /**
+   * The job state is unspecified.
+   */
+  public const STATE_STATE_UNSPECIFIED = 'STATE_UNSPECIFIED';
+  /**
+   * The job has been just created and processing has not yet begun.
+   */
+  public const STATE_QUEUED = 'QUEUED';
+  /**
+   * The service is preparing to run the job.
+   */
+  public const STATE_PREPARING = 'PREPARING';
+  /**
+   * The job is in progress.
+   */
+  public const STATE_RUNNING = 'RUNNING';
+  /**
+   * The job completed successfully.
+   */
+  public const STATE_SUCCEEDED = 'SUCCEEDED';
+  /**
+   * The job failed. `error_message` should contain the details of the failure.
+   */
+  public const STATE_FAILED = 'FAILED';
+  /**
+   * The job is being cancelled. `error_message` should describe the reason for
+   * the cancellation.
+   */
+  public const STATE_CANCELLING = 'CANCELLING';
+  /**
+   * The job has been cancelled. `error_message` should describe the reason for
+   * the cancellation.
+   */
+  public const STATE_CANCELLED = 'CANCELLED';
+  protected $collection_key = 'allMetrics';
+  protected $allMetricsType = GoogleCloudMlV1HyperparameterOutputHyperparameterMetric::class;
+  protected $allMetricsDataType = 'array';
+  protected $builtInAlgorithmOutputType = GoogleCloudMlV1BuiltInAlgorithmOutput::class;
+  protected $builtInAlgorithmOutputDataType = '';
+  /**
+   * Output only. End time for the trial.
+   *
+   * @var string
+   */
+  public $endTime;
+  protected $finalMetricType = GoogleCloudMlV1HyperparameterOutputHyperparameterMetric::class;
+  protected $finalMetricDataType = '';
+  /**
+   * The hyperparameters given to this trial.
+   *
+   * @var string[]
+   */
+  public $hyperparameters;
+  /**
+   * True if the trial is stopped early.
+   *
+   * @var bool
+   */
+  public $isTrialStoppedEarly;
+  /**
+   * Output only. Start time for the trial.
+   *
+   * @var string
+   */
+  public $startTime;
+  /**
+   * Output only. The detailed state of the trial.
+   *
+   * @var string
+   */
+  public $state;
+  /**
+   * The trial id for these results.
+   *
+   * @var string
+   */
+  public $trialId;
+  /**
+   * URIs for accessing [interactive shells](https://cloud.google.com/ai-
+   * platform/training/docs/monitor-debug-interactive-shell) (one URI for each
+   * training node). Only available if this trial is part of a hyperparameter
+   * tuning job and the job's training_input.enable_web_access is `true`. The
+   * keys are names of each node in the training job; for example, `master-
+   * replica-0` for the master node, `worker-replica-0` for the first worker,
+   * and `ps-replica-0` for the first parameter server. The values are the URIs
+   * for each node's interactive shell.
+   *
+   * @var string[]
+   */
+  public $webAccessUris;
+
+  /**
+   * All recorded object metrics for this trial. This field is not currently
+   * populated.
+   *
+   * @param GoogleCloudMlV1HyperparameterOutputHyperparameterMetric[] $allMetrics
+   */
+  public function setAllMetrics($allMetrics)
+  {
+    $this->allMetrics = $allMetrics;
+  }
+  /**
+   * @return GoogleCloudMlV1HyperparameterOutputHyperparameterMetric[]
+   */
+  public function getAllMetrics()
+  {
+    return $this->allMetrics;
+  }
+  /**
+   * Details related to built-in algorithms jobs. Only set for trials of built-
+   * in algorithms jobs that have succeeded.
+   *
+   * @param GoogleCloudMlV1BuiltInAlgorithmOutput $builtInAlgorithmOutput
+   */
+  public function setBuiltInAlgorithmOutput(GoogleCloudMlV1BuiltInAlgorithmOutput $builtInAlgorithmOutput)
+  {
+    $this->builtInAlgorithmOutput = $builtInAlgorithmOutput;
+  }
+  /**
+   * @return GoogleCloudMlV1BuiltInAlgorithmOutput
+   */
+  public function getBuiltInAlgorithmOutput()
+  {
+    return $this->builtInAlgorithmOutput;
+  }
+  /**
+   * Output only. End time for the trial.
+   *
+   * @param string $endTime
+   */
+  public function setEndTime($endTime)
+  {
+    $this->endTime = $endTime;
+  }
+  /**
+   * @return string
+   */
+  public function getEndTime()
+  {
+    return $this->endTime;
+  }
+  /**
+   * The final objective metric seen for this trial.
+   *
+   * @param GoogleCloudMlV1HyperparameterOutputHyperparameterMetric $finalMetric
+   */
+  public function setFinalMetric(GoogleCloudMlV1HyperparameterOutputHyperparameterMetric $finalMetric)
+  {
+    $this->finalMetric = $finalMetric;
+  }
+  /**
+   * @return GoogleCloudMlV1HyperparameterOutputHyperparameterMetric
+   */
+  public function getFinalMetric()
+  {
+    return $this->finalMetric;
+  }
+  /**
+   * The hyperparameters given to this trial.
+   *
+   * @param string[] $hyperparameters
+   */
+  public function setHyperparameters($hyperparameters)
+  {
+    $this->hyperparameters = $hyperparameters;
+  }
+  /**
+   * @return string[]
+   */
+  public function getHyperparameters()
+  {
+    return $this->hyperparameters;
+  }
+  /**
+   * True if the trial is stopped early.
+   *
+   * @param bool $isTrialStoppedEarly
+   */
+  public function setIsTrialStoppedEarly($isTrialStoppedEarly)
+  {
+    $this->isTrialStoppedEarly = $isTrialStoppedEarly;
+  }
+  /**
+   * @return bool
+   */
+  public function getIsTrialStoppedEarly()
+  {
+    return $this->isTrialStoppedEarly;
+  }
+  /**
+   * Output only. Start time for the trial.
+   *
+   * @param string $startTime
+   */
+  public function setStartTime($startTime)
+  {
+    $this->startTime = $startTime;
+  }
+  /**
+   * @return string
+   */
+  public function getStartTime()
+  {
+    return $this->startTime;
+  }
+  /**
+   * Output only. The detailed state of the trial.
+   *
+   * Accepted values: STATE_UNSPECIFIED, QUEUED, PREPARING, RUNNING, SUCCEEDED,
+   * FAILED, CANCELLING, CANCELLED
+   *
+   * @param self::STATE_* $state
+   */
+  public function setState($state)
+  {
+    $this->state = $state;
+  }
+  /**
+   * @return self::STATE_*
+   */
+  public function getState()
+  {
+    return $this->state;
+  }
+  /**
+   * The trial id for these results.
+   *
+   * @param string $trialId
+   */
+  public function setTrialId($trialId)
+  {
+    $this->trialId = $trialId;
+  }
+  /**
+   * @return string
+   */
+  public function getTrialId()
+  {
+    return $this->trialId;
+  }
+  /**
+   * URIs for accessing [interactive shells](https://cloud.google.com/ai-
+   * platform/training/docs/monitor-debug-interactive-shell) (one URI for each
+   * training node). Only available if this trial is part of a hyperparameter
+   * tuning job and the job's training_input.enable_web_access is `true`. The
+   * keys are names of each node in the training job; for example, `master-
+   * replica-0` for the master node, `worker-replica-0` for the first worker,
+   * and `ps-replica-0` for the first parameter server. The values are the URIs
+   * for each node's interactive shell.
+   *
+   * @param string[] $webAccessUris
+   */
+  public function setWebAccessUris($webAccessUris)
+  {
+    $this->webAccessUris = $webAccessUris;
+  }
+  /**
+   * @return string[]
+   */
+  public function getWebAccessUris()
+  {
+    return $this->webAccessUris;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1HyperparameterOutput::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1HyperparameterOutput');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1HyperparameterOutputHyperparameterMetric.php

@@ -0,0 +1,62 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1HyperparameterOutputHyperparameterMetric extends \Google\Model
+{
+  /**
+   * The objective value at this training step.
+   *
+   * @var 
+   */
+  public $objectiveValue;
+  /**
+   * The global training step for this metric.
+   *
+   * @var string
+   */
+  public $trainingStep;
+
+  public function setObjectiveValue($objectiveValue)
+  {
+    $this->objectiveValue = $objectiveValue;
+  }
+  public function getObjectiveValue()
+  {
+    return $this->objectiveValue;
+  }
+  /**
+   * The global training step for this metric.
+   *
+   * @param string $trainingStep
+   */
+  public function setTrainingStep($trainingStep)
+  {
+    $this->trainingStep = $trainingStep;
+  }
+  /**
+   * @return string
+   */
+  public function getTrainingStep()
+  {
+    return $this->trainingStep;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1HyperparameterOutputHyperparameterMetric::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1HyperparameterOutputHyperparameterMetric');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1HyperparameterSpec.php

@@ -0,0 +1,293 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1HyperparameterSpec extends \Google\Collection
+{
+  /**
+   * The default algorithm used by the hyperparameter tuning service. This is a
+   * Bayesian optimization algorithm.
+   */
+  public const ALGORITHM_ALGORITHM_UNSPECIFIED = 'ALGORITHM_UNSPECIFIED';
+  /**
+   * Simple grid search within the feasible space. To use grid search, all
+   * parameters must be `INTEGER`, `CATEGORICAL`, or `DISCRETE`.
+   */
+  public const ALGORITHM_GRID_SEARCH = 'GRID_SEARCH';
+  /**
+   * Simple random search within the feasible space.
+   */
+  public const ALGORITHM_RANDOM_SEARCH = 'RANDOM_SEARCH';
+  /**
+   * Goal Type will default to maximize.
+   */
+  public const GOAL_GOAL_TYPE_UNSPECIFIED = 'GOAL_TYPE_UNSPECIFIED';
+  /**
+   * Maximize the goal metric.
+   */
+  public const GOAL_MAXIMIZE = 'MAXIMIZE';
+  /**
+   * Minimize the goal metric.
+   */
+  public const GOAL_MINIMIZE = 'MINIMIZE';
+  protected $collection_key = 'params';
+  /**
+   * Optional. The search algorithm specified for the hyperparameter tuning job.
+   * Uses the default AI Platform hyperparameter tuning algorithm if
+   * unspecified.
+   *
+   * @var string
+   */
+  public $algorithm;
+  /**
+   * Optional. Indicates if the hyperparameter tuning job enables auto trial
+   * early stopping.
+   *
+   * @var bool
+   */
+  public $enableTrialEarlyStopping;
+  /**
+   * Required. The type of goal to use for tuning. Available types are
+   * `MAXIMIZE` and `MINIMIZE`. Defaults to `MAXIMIZE`.
+   *
+   * @var string
+   */
+  public $goal;
+  /**
+   * Optional. The TensorFlow summary tag name to use for optimizing trials. For
+   * current versions of TensorFlow, this tag name should exactly match what is
+   * shown in TensorBoard, including all scopes. For versions of TensorFlow
+   * prior to 0.12, this should be only the tag passed to tf.Summary. By
+   * default, "training/hptuning/metric" will be used.
+   *
+   * @var string
+   */
+  public $hyperparameterMetricTag;
+  /**
+   * Optional. The number of failed trials that need to be seen before failing
+   * the hyperparameter tuning job. You can specify this field to override the
+   * default failing criteria for AI Platform hyperparameter tuning jobs.
+   * Defaults to zero, which means the service decides when a hyperparameter job
+   * should fail.
+   *
+   * @var int
+   */
+  public $maxFailedTrials;
+  /**
+   * Optional. The number of training trials to run concurrently. You can reduce
+   * the time it takes to perform hyperparameter tuning by adding trials in
+   * parallel. However, each trail only benefits from the information gained in
+   * completed trials. That means that a trial does not get access to the
+   * results of trials running at the same time, which could reduce the quality
+   * of the overall optimization. Each trial will use the same scale tier and
+   * machine types. Defaults to one.
+   *
+   * @var int
+   */
+  public $maxParallelTrials;
+  /**
+   * Optional. How many training trials should be attempted to optimize the
+   * specified hyperparameters. Defaults to one.
+   *
+   * @var int
+   */
+  public $maxTrials;
+  protected $paramsType = GoogleCloudMlV1ParameterSpec::class;
+  protected $paramsDataType = 'array';
+  /**
+   * Optional. The prior hyperparameter tuning job id that users hope to
+   * continue with. The job id will be used to find the corresponding vizier
+   * study guid and resume the study.
+   *
+   * @var string
+   */
+  public $resumePreviousJobId;
+
+  /**
+   * Optional. The search algorithm specified for the hyperparameter tuning job.
+   * Uses the default AI Platform hyperparameter tuning algorithm if
+   * unspecified.
+   *
+   * Accepted values: ALGORITHM_UNSPECIFIED, GRID_SEARCH, RANDOM_SEARCH
+   *
+   * @param self::ALGORITHM_* $algorithm
+   */
+  public function setAlgorithm($algorithm)
+  {
+    $this->algorithm = $algorithm;
+  }
+  /**
+   * @return self::ALGORITHM_*
+   */
+  public function getAlgorithm()
+  {
+    return $this->algorithm;
+  }
+  /**
+   * Optional. Indicates if the hyperparameter tuning job enables auto trial
+   * early stopping.
+   *
+   * @param bool $enableTrialEarlyStopping
+   */
+  public function setEnableTrialEarlyStopping($enableTrialEarlyStopping)
+  {
+    $this->enableTrialEarlyStopping = $enableTrialEarlyStopping;
+  }
+  /**
+   * @return bool
+   */
+  public function getEnableTrialEarlyStopping()
+  {
+    return $this->enableTrialEarlyStopping;
+  }
+  /**
+   * Required. The type of goal to use for tuning. Available types are
+   * `MAXIMIZE` and `MINIMIZE`. Defaults to `MAXIMIZE`.
+   *
+   * Accepted values: GOAL_TYPE_UNSPECIFIED, MAXIMIZE, MINIMIZE
+   *
+   * @param self::GOAL_* $goal
+   */
+  public function setGoal($goal)
+  {
+    $this->goal = $goal;
+  }
+  /**
+   * @return self::GOAL_*
+   */
+  public function getGoal()
+  {
+    return $this->goal;
+  }
+  /**
+   * Optional. The TensorFlow summary tag name to use for optimizing trials. For
+   * current versions of TensorFlow, this tag name should exactly match what is
+   * shown in TensorBoard, including all scopes. For versions of TensorFlow
+   * prior to 0.12, this should be only the tag passed to tf.Summary. By
+   * default, "training/hptuning/metric" will be used.
+   *
+   * @param string $hyperparameterMetricTag
+   */
+  public function setHyperparameterMetricTag($hyperparameterMetricTag)
+  {
+    $this->hyperparameterMetricTag = $hyperparameterMetricTag;
+  }
+  /**
+   * @return string
+   */
+  public function getHyperparameterMetricTag()
+  {
+    return $this->hyperparameterMetricTag;
+  }
+  /**
+   * Optional. The number of failed trials that need to be seen before failing
+   * the hyperparameter tuning job. You can specify this field to override the
+   * default failing criteria for AI Platform hyperparameter tuning jobs.
+   * Defaults to zero, which means the service decides when a hyperparameter job
+   * should fail.
+   *
+   * @param int $maxFailedTrials
+   */
+  public function setMaxFailedTrials($maxFailedTrials)
+  {
+    $this->maxFailedTrials = $maxFailedTrials;
+  }
+  /**
+   * @return int
+   */
+  public function getMaxFailedTrials()
+  {
+    return $this->maxFailedTrials;
+  }
+  /**
+   * Optional. The number of training trials to run concurrently. You can reduce
+   * the time it takes to perform hyperparameter tuning by adding trials in
+   * parallel. However, each trail only benefits from the information gained in
+   * completed trials. That means that a trial does not get access to the
+   * results of trials running at the same time, which could reduce the quality
+   * of the overall optimization. Each trial will use the same scale tier and
+   * machine types. Defaults to one.
+   *
+   * @param int $maxParallelTrials
+   */
+  public function setMaxParallelTrials($maxParallelTrials)
+  {
+    $this->maxParallelTrials = $maxParallelTrials;
+  }
+  /**
+   * @return int
+   */
+  public function getMaxParallelTrials()
+  {
+    return $this->maxParallelTrials;
+  }
+  /**
+   * Optional. How many training trials should be attempted to optimize the
+   * specified hyperparameters. Defaults to one.
+   *
+   * @param int $maxTrials
+   */
+  public function setMaxTrials($maxTrials)
+  {
+    $this->maxTrials = $maxTrials;
+  }
+  /**
+   * @return int
+   */
+  public function getMaxTrials()
+  {
+    return $this->maxTrials;
+  }
+  /**
+   * Required. The set of parameters to tune.
+   *
+   * @param GoogleCloudMlV1ParameterSpec[] $params
+   */
+  public function setParams($params)
+  {
+    $this->params = $params;
+  }
+  /**
+   * @return GoogleCloudMlV1ParameterSpec[]
+   */
+  public function getParams()
+  {
+    return $this->params;
+  }
+  /**
+   * Optional. The prior hyperparameter tuning job id that users hope to
+   * continue with. The job id will be used to find the corresponding vizier
+   * study guid and resume the study.
+   *
+   * @param string $resumePreviousJobId
+   */
+  public function setResumePreviousJobId($resumePreviousJobId)
+  {
+    $this->resumePreviousJobId = $resumePreviousJobId;
+  }
+  /**
+   * @return string
+   */
+  public function getResumePreviousJobId()
+  {
+    return $this->resumePreviousJobId;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1HyperparameterSpec::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1HyperparameterSpec');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1IntegratedGradientsAttribution.php

@@ -0,0 +1,52 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1IntegratedGradientsAttribution extends \Google\Model
+{
+  /**
+   * Number of steps for approximating the path integral. A good value to start
+   * is 50 and gradually increase until the sum to diff property is met within
+   * the desired error range.
+   *
+   * @var int
+   */
+  public $numIntegralSteps;
+
+  /**
+   * Number of steps for approximating the path integral. A good value to start
+   * is 50 and gradually increase until the sum to diff property is met within
+   * the desired error range.
+   *
+   * @param int $numIntegralSteps
+   */
+  public function setNumIntegralSteps($numIntegralSteps)
+  {
+    $this->numIntegralSteps = $numIntegralSteps;
+  }
+  /**
+   * @return int
+   */
+  public function getNumIntegralSteps()
+  {
+    return $this->numIntegralSteps;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1IntegratedGradientsAttribution::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1IntegratedGradientsAttribution');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1Job.php

@@ -0,0 +1,355 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1Job extends \Google\Model
+{
+  /**
+   * The job state is unspecified.
+   */
+  public const STATE_STATE_UNSPECIFIED = 'STATE_UNSPECIFIED';
+  /**
+   * The job has been just created and processing has not yet begun.
+   */
+  public const STATE_QUEUED = 'QUEUED';
+  /**
+   * The service is preparing to run the job.
+   */
+  public const STATE_PREPARING = 'PREPARING';
+  /**
+   * The job is in progress.
+   */
+  public const STATE_RUNNING = 'RUNNING';
+  /**
+   * The job completed successfully.
+   */
+  public const STATE_SUCCEEDED = 'SUCCEEDED';
+  /**
+   * The job failed. `error_message` should contain the details of the failure.
+   */
+  public const STATE_FAILED = 'FAILED';
+  /**
+   * The job is being cancelled. `error_message` should describe the reason for
+   * the cancellation.
+   */
+  public const STATE_CANCELLING = 'CANCELLING';
+  /**
+   * The job has been cancelled. `error_message` should describe the reason for
+   * the cancellation.
+   */
+  public const STATE_CANCELLED = 'CANCELLED';
+  /**
+   * Output only. When the job was created.
+   *
+   * @var string
+   */
+  public $createTime;
+  /**
+   * Output only. When the job processing was completed.
+   *
+   * @var string
+   */
+  public $endTime;
+  /**
+   * Output only. The details of a failure or a cancellation.
+   *
+   * @var string
+   */
+  public $errorMessage;
+  /**
+   * `etag` is used for optimistic concurrency control as a way to help prevent
+   * simultaneous updates of a job from overwriting each other. It is strongly
+   * suggested that systems make use of the `etag` in the read-modify-write
+   * cycle to perform job updates in order to avoid race conditions: An `etag`
+   * is returned in the response to `GetJob`, and systems are expected to put
+   * that etag in the request to `UpdateJob` to ensure that their change will be
+   * applied to the same version of the job.
+   *
+   * @var string
+   */
+  public $etag;
+  /**
+   * Required. The user-specified id of the job.
+   *
+   * @var string
+   */
+  public $jobId;
+  /**
+   * Output only. It's only effect when the job is in QUEUED state. If it's
+   * positive, it indicates the job's position in the job scheduler. It's 0 when
+   * the job is already scheduled.
+   *
+   * @var string
+   */
+  public $jobPosition;
+  /**
+   * Optional. One or more labels that you can add, to organize your jobs. Each
+   * label is a key-value pair, where both the key and the value are arbitrary
+   * strings that you supply. For more information, see the documentation on
+   * using labels.
+   *
+   * @var string[]
+   */
+  public $labels;
+  protected $predictionInputType = GoogleCloudMlV1PredictionInput::class;
+  protected $predictionInputDataType = '';
+  protected $predictionOutputType = GoogleCloudMlV1PredictionOutput::class;
+  protected $predictionOutputDataType = '';
+  /**
+   * Output only. When the job processing was started.
+   *
+   * @var string
+   */
+  public $startTime;
+  /**
+   * Output only. The detailed state of a job.
+   *
+   * @var string
+   */
+  public $state;
+  protected $trainingInputType = GoogleCloudMlV1TrainingInput::class;
+  protected $trainingInputDataType = '';
+  protected $trainingOutputType = GoogleCloudMlV1TrainingOutput::class;
+  protected $trainingOutputDataType = '';
+
+  /**
+   * Output only. When the job was created.
+   *
+   * @param string $createTime
+   */
+  public function setCreateTime($createTime)
+  {
+    $this->createTime = $createTime;
+  }
+  /**
+   * @return string
+   */
+  public function getCreateTime()
+  {
+    return $this->createTime;
+  }
+  /**
+   * Output only. When the job processing was completed.
+   *
+   * @param string $endTime
+   */
+  public function setEndTime($endTime)
+  {
+    $this->endTime = $endTime;
+  }
+  /**
+   * @return string
+   */
+  public function getEndTime()
+  {
+    return $this->endTime;
+  }
+  /**
+   * Output only. The details of a failure or a cancellation.
+   *
+   * @param string $errorMessage
+   */
+  public function setErrorMessage($errorMessage)
+  {
+    $this->errorMessage = $errorMessage;
+  }
+  /**
+   * @return string
+   */
+  public function getErrorMessage()
+  {
+    return $this->errorMessage;
+  }
+  /**
+   * `etag` is used for optimistic concurrency control as a way to help prevent
+   * simultaneous updates of a job from overwriting each other. It is strongly
+   * suggested that systems make use of the `etag` in the read-modify-write
+   * cycle to perform job updates in order to avoid race conditions: An `etag`
+   * is returned in the response to `GetJob`, and systems are expected to put
+   * that etag in the request to `UpdateJob` to ensure that their change will be
+   * applied to the same version of the job.
+   *
+   * @param string $etag
+   */
+  public function setEtag($etag)
+  {
+    $this->etag = $etag;
+  }
+  /**
+   * @return string
+   */
+  public function getEtag()
+  {
+    return $this->etag;
+  }
+  /**
+   * Required. The user-specified id of the job.
+   *
+   * @param string $jobId
+   */
+  public function setJobId($jobId)
+  {
+    $this->jobId = $jobId;
+  }
+  /**
+   * @return string
+   */
+  public function getJobId()
+  {
+    return $this->jobId;
+  }
+  /**
+   * Output only. It's only effect when the job is in QUEUED state. If it's
+   * positive, it indicates the job's position in the job scheduler. It's 0 when
+   * the job is already scheduled.
+   *
+   * @param string $jobPosition
+   */
+  public function setJobPosition($jobPosition)
+  {
+    $this->jobPosition = $jobPosition;
+  }
+  /**
+   * @return string
+   */
+  public function getJobPosition()
+  {
+    return $this->jobPosition;
+  }
+  /**
+   * Optional. One or more labels that you can add, to organize your jobs. Each
+   * label is a key-value pair, where both the key and the value are arbitrary
+   * strings that you supply. For more information, see the documentation on
+   * using labels.
+   *
+   * @param string[] $labels
+   */
+  public function setLabels($labels)
+  {
+    $this->labels = $labels;
+  }
+  /**
+   * @return string[]
+   */
+  public function getLabels()
+  {
+    return $this->labels;
+  }
+  /**
+   * Input parameters to create a prediction job.
+   *
+   * @param GoogleCloudMlV1PredictionInput $predictionInput
+   */
+  public function setPredictionInput(GoogleCloudMlV1PredictionInput $predictionInput)
+  {
+    $this->predictionInput = $predictionInput;
+  }
+  /**
+   * @return GoogleCloudMlV1PredictionInput
+   */
+  public function getPredictionInput()
+  {
+    return $this->predictionInput;
+  }
+  /**
+   * The current prediction job result.
+   *
+   * @param GoogleCloudMlV1PredictionOutput $predictionOutput
+   */
+  public function setPredictionOutput(GoogleCloudMlV1PredictionOutput $predictionOutput)
+  {
+    $this->predictionOutput = $predictionOutput;
+  }
+  /**
+   * @return GoogleCloudMlV1PredictionOutput
+   */
+  public function getPredictionOutput()
+  {
+    return $this->predictionOutput;
+  }
+  /**
+   * Output only. When the job processing was started.
+   *
+   * @param string $startTime
+   */
+  public function setStartTime($startTime)
+  {
+    $this->startTime = $startTime;
+  }
+  /**
+   * @return string
+   */
+  public function getStartTime()
+  {
+    return $this->startTime;
+  }
+  /**
+   * Output only. The detailed state of a job.
+   *
+   * Accepted values: STATE_UNSPECIFIED, QUEUED, PREPARING, RUNNING, SUCCEEDED,
+   * FAILED, CANCELLING, CANCELLED
+   *
+   * @param self::STATE_* $state
+   */
+  public function setState($state)
+  {
+    $this->state = $state;
+  }
+  /**
+   * @return self::STATE_*
+   */
+  public function getState()
+  {
+    return $this->state;
+  }
+  /**
+   * Input parameters to create a training job.
+   *
+   * @param GoogleCloudMlV1TrainingInput $trainingInput
+   */
+  public function setTrainingInput(GoogleCloudMlV1TrainingInput $trainingInput)
+  {
+    $this->trainingInput = $trainingInput;
+  }
+  /**
+   * @return GoogleCloudMlV1TrainingInput
+   */
+  public function getTrainingInput()
+  {
+    return $this->trainingInput;
+  }
+  /**
+   * The current training job result.
+   *
+   * @param GoogleCloudMlV1TrainingOutput $trainingOutput
+   */
+  public function setTrainingOutput(GoogleCloudMlV1TrainingOutput $trainingOutput)
+  {
+    $this->trainingOutput = $trainingOutput;
+  }
+  /**
+   * @return GoogleCloudMlV1TrainingOutput
+   */
+  public function getTrainingOutput()
+  {
+    return $this->trainingOutput;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1Job::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1Job');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1ListJobsResponse.php

@@ -0,0 +1,69 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1ListJobsResponse extends \Google\Collection
+{
+  protected $collection_key = 'jobs';
+  protected $jobsType = GoogleCloudMlV1Job::class;
+  protected $jobsDataType = 'array';
+  /**
+   * Optional. Pass this token as the `page_token` field of the request for a
+   * subsequent call.
+   *
+   * @var string
+   */
+  public $nextPageToken;
+
+  /**
+   * The list of jobs.
+   *
+   * @param GoogleCloudMlV1Job[] $jobs
+   */
+  public function setJobs($jobs)
+  {
+    $this->jobs = $jobs;
+  }
+  /**
+   * @return GoogleCloudMlV1Job[]
+   */
+  public function getJobs()
+  {
+    return $this->jobs;
+  }
+  /**
+   * Optional. Pass this token as the `page_token` field of the request for a
+   * subsequent call.
+   *
+   * @param string $nextPageToken
+   */
+  public function setNextPageToken($nextPageToken)
+  {
+    $this->nextPageToken = $nextPageToken;
+  }
+  /**
+   * @return string
+   */
+  public function getNextPageToken()
+  {
+    return $this->nextPageToken;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1ListJobsResponse::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1ListJobsResponse');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1ListLocationsResponse.php

@@ -0,0 +1,69 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1ListLocationsResponse extends \Google\Collection
+{
+  protected $collection_key = 'locations';
+  protected $locationsType = GoogleCloudMlV1Location::class;
+  protected $locationsDataType = 'array';
+  /**
+   * Optional. Pass this token as the `page_token` field of the request for a
+   * subsequent call.
+   *
+   * @var string
+   */
+  public $nextPageToken;
+
+  /**
+   * Locations where at least one type of CMLE capability is available.
+   *
+   * @param GoogleCloudMlV1Location[] $locations
+   */
+  public function setLocations($locations)
+  {
+    $this->locations = $locations;
+  }
+  /**
+   * @return GoogleCloudMlV1Location[]
+   */
+  public function getLocations()
+  {
+    return $this->locations;
+  }
+  /**
+   * Optional. Pass this token as the `page_token` field of the request for a
+   * subsequent call.
+   *
+   * @param string $nextPageToken
+   */
+  public function setNextPageToken($nextPageToken)
+  {
+    $this->nextPageToken = $nextPageToken;
+  }
+  /**
+   * @return string
+   */
+  public function getNextPageToken()
+  {
+    return $this->nextPageToken;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1ListLocationsResponse::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1ListLocationsResponse');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1ListModelsResponse.php

@@ -0,0 +1,69 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1ListModelsResponse extends \Google\Collection
+{
+  protected $collection_key = 'models';
+  protected $modelsType = GoogleCloudMlV1Model::class;
+  protected $modelsDataType = 'array';
+  /**
+   * Optional. Pass this token as the `page_token` field of the request for a
+   * subsequent call.
+   *
+   * @var string
+   */
+  public $nextPageToken;
+
+  /**
+   * The list of models.
+   *
+   * @param GoogleCloudMlV1Model[] $models
+   */
+  public function setModels($models)
+  {
+    $this->models = $models;
+  }
+  /**
+   * @return GoogleCloudMlV1Model[]
+   */
+  public function getModels()
+  {
+    return $this->models;
+  }
+  /**
+   * Optional. Pass this token as the `page_token` field of the request for a
+   * subsequent call.
+   *
+   * @param string $nextPageToken
+   */
+  public function setNextPageToken($nextPageToken)
+  {
+    $this->nextPageToken = $nextPageToken;
+  }
+  /**
+   * @return string
+   */
+  public function getNextPageToken()
+  {
+    return $this->nextPageToken;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1ListModelsResponse::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1ListModelsResponse');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1ListOptimalTrialsRequest.php

@@ -0,0 +1,25 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1ListOptimalTrialsRequest extends \Google\Model
+{
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1ListOptimalTrialsRequest::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1ListOptimalTrialsRequest');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1ListOptimalTrialsResponse.php

@@ -0,0 +1,47 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1ListOptimalTrialsResponse extends \Google\Collection
+{
+  protected $collection_key = 'trials';
+  protected $trialsType = GoogleCloudMlV1Trial::class;
+  protected $trialsDataType = 'array';
+
+  /**
+   * The pareto-optimal trials for multiple objective study or the optimal trial
+   * for single objective study. The definition of pareto-optimal can be checked
+   * in wiki page. https://en.wikipedia.org/wiki/Pareto_efficiency
+   *
+   * @param GoogleCloudMlV1Trial[] $trials
+   */
+  public function setTrials($trials)
+  {
+    $this->trials = $trials;
+  }
+  /**
+   * @return GoogleCloudMlV1Trial[]
+   */
+  public function getTrials()
+  {
+    return $this->trials;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1ListOptimalTrialsResponse::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1ListOptimalTrialsResponse');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1ListStudiesResponse.php

@@ -0,0 +1,45 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1ListStudiesResponse extends \Google\Collection
+{
+  protected $collection_key = 'studies';
+  protected $studiesType = GoogleCloudMlV1Study::class;
+  protected $studiesDataType = 'array';
+
+  /**
+   * The studies associated with the project.
+   *
+   * @param GoogleCloudMlV1Study[] $studies
+   */
+  public function setStudies($studies)
+  {
+    $this->studies = $studies;
+  }
+  /**
+   * @return GoogleCloudMlV1Study[]
+   */
+  public function getStudies()
+  {
+    return $this->studies;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1ListStudiesResponse::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1ListStudiesResponse');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1ListTrialsResponse.php

@@ -0,0 +1,45 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1ListTrialsResponse extends \Google\Collection
+{
+  protected $collection_key = 'trials';
+  protected $trialsType = GoogleCloudMlV1Trial::class;
+  protected $trialsDataType = 'array';
+
+  /**
+   * The trials associated with the study.
+   *
+   * @param GoogleCloudMlV1Trial[] $trials
+   */
+  public function setTrials($trials)
+  {
+    $this->trials = $trials;
+  }
+  /**
+   * @return GoogleCloudMlV1Trial[]
+   */
+  public function getTrials()
+  {
+    return $this->trials;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1ListTrialsResponse::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1ListTrialsResponse');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1ListVersionsResponse.php

@@ -0,0 +1,69 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1ListVersionsResponse extends \Google\Collection
+{
+  protected $collection_key = 'versions';
+  /**
+   * Optional. Pass this token as the `page_token` field of the request for a
+   * subsequent call.
+   *
+   * @var string
+   */
+  public $nextPageToken;
+  protected $versionsType = GoogleCloudMlV1Version::class;
+  protected $versionsDataType = 'array';
+
+  /**
+   * Optional. Pass this token as the `page_token` field of the request for a
+   * subsequent call.
+   *
+   * @param string $nextPageToken
+   */
+  public function setNextPageToken($nextPageToken)
+  {
+    $this->nextPageToken = $nextPageToken;
+  }
+  /**
+   * @return string
+   */
+  public function getNextPageToken()
+  {
+    return $this->nextPageToken;
+  }
+  /**
+   * The list of versions.
+   *
+   * @param GoogleCloudMlV1Version[] $versions
+   */
+  public function setVersions($versions)
+  {
+    $this->versions = $versions;
+  }
+  /**
+   * @return GoogleCloudMlV1Version[]
+   */
+  public function getVersions()
+  {
+    return $this->versions;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1ListVersionsResponse::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1ListVersionsResponse');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1Location.php

@@ -0,0 +1,63 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1Location extends \Google\Collection
+{
+  protected $collection_key = 'capabilities';
+  protected $capabilitiesType = GoogleCloudMlV1Capability::class;
+  protected $capabilitiesDataType = 'array';
+  /**
+   * @var string
+   */
+  public $name;
+
+  /**
+   * Capabilities available in the location.
+   *
+   * @param GoogleCloudMlV1Capability[] $capabilities
+   */
+  public function setCapabilities($capabilities)
+  {
+    $this->capabilities = $capabilities;
+  }
+  /**
+   * @return GoogleCloudMlV1Capability[]
+   */
+  public function getCapabilities()
+  {
+    return $this->capabilities;
+  }
+  /**
+   * @param string $name
+   */
+  public function setName($name)
+  {
+    $this->name = $name;
+  }
+  /**
+   * @return string
+   */
+  public function getName()
+  {
+    return $this->name;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1Location::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1Location');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1ManualScaling.php

@@ -0,0 +1,54 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1ManualScaling extends \Google\Model
+{
+  /**
+   * The number of nodes to allocate for this model. These nodes are always up,
+   * starting from the time the model is deployed, so the cost of operating this
+   * model will be proportional to `nodes` * number of hours since last billing
+   * cycle plus the cost for each prediction performed.
+   *
+   * @var int
+   */
+  public $nodes;
+
+  /**
+   * The number of nodes to allocate for this model. These nodes are always up,
+   * starting from the time the model is deployed, so the cost of operating this
+   * model will be proportional to `nodes` * number of hours since last billing
+   * cycle plus the cost for each prediction performed.
+   *
+   * @param int $nodes
+   */
+  public function setNodes($nodes)
+  {
+    $this->nodes = $nodes;
+  }
+  /**
+   * @return int
+   */
+  public function getNodes()
+  {
+    return $this->nodes;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1ManualScaling::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1ManualScaling');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1Measurement.php

@@ -0,0 +1,93 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1Measurement extends \Google\Collection
+{
+  protected $collection_key = 'metrics';
+  /**
+   * Output only. Time that the trial has been running at the point of this
+   * measurement.
+   *
+   * @var string
+   */
+  public $elapsedTime;
+  protected $metricsType = GoogleCloudMlV1MeasurementMetric::class;
+  protected $metricsDataType = 'array';
+  /**
+   * The number of steps a machine learning model has been trained for. Must be
+   * non-negative.
+   *
+   * @var string
+   */
+  public $stepCount;
+
+  /**
+   * Output only. Time that the trial has been running at the point of this
+   * measurement.
+   *
+   * @param string $elapsedTime
+   */
+  public function setElapsedTime($elapsedTime)
+  {
+    $this->elapsedTime = $elapsedTime;
+  }
+  /**
+   * @return string
+   */
+  public function getElapsedTime()
+  {
+    return $this->elapsedTime;
+  }
+  /**
+   * Provides a list of metrics that act as inputs into the objective function.
+   *
+   * @param GoogleCloudMlV1MeasurementMetric[] $metrics
+   */
+  public function setMetrics($metrics)
+  {
+    $this->metrics = $metrics;
+  }
+  /**
+   * @return GoogleCloudMlV1MeasurementMetric[]
+   */
+  public function getMetrics()
+  {
+    return $this->metrics;
+  }
+  /**
+   * The number of steps a machine learning model has been trained for. Must be
+   * non-negative.
+   *
+   * @param string $stepCount
+   */
+  public function setStepCount($stepCount)
+  {
+    $this->stepCount = $stepCount;
+  }
+  /**
+   * @return string
+   */
+  public function getStepCount()
+  {
+    return $this->stepCount;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1Measurement::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1Measurement');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1MeasurementMetric.php

@@ -0,0 +1,62 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1MeasurementMetric extends \Google\Model
+{
+  /**
+   * Required. Metric name.
+   *
+   * @var string
+   */
+  public $metric;
+  /**
+   * Required. The value for this metric.
+   *
+   * @var 
+   */
+  public $value;
+
+  /**
+   * Required. Metric name.
+   *
+   * @param string $metric
+   */
+  public function setMetric($metric)
+  {
+    $this->metric = $metric;
+  }
+  /**
+   * @return string
+   */
+  public function getMetric()
+  {
+    return $this->metric;
+  }
+  public function setValue($value)
+  {
+    $this->value = $value;
+  }
+  public function getValue()
+  {
+    return $this->value;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1MeasurementMetric::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1MeasurementMetric');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1MetricSpec.php

@@ -0,0 +1,88 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1MetricSpec extends \Google\Model
+{
+  /**
+   * Unspecified MetricName.
+   */
+  public const NAME_METRIC_NAME_UNSPECIFIED = 'METRIC_NAME_UNSPECIFIED';
+  /**
+   * CPU usage.
+   */
+  public const NAME_CPU_USAGE = 'CPU_USAGE';
+  /**
+   * GPU duty cycle.
+   */
+  public const NAME_GPU_DUTY_CYCLE = 'GPU_DUTY_CYCLE';
+  /**
+   * metric name.
+   *
+   * @var string
+   */
+  public $name;
+  /**
+   * Target specifies the target value for the given metric; once real metric
+   * deviates from the threshold by a certain percentage, the node count
+   * changes.
+   *
+   * @var int
+   */
+  public $target;
+
+  /**
+   * metric name.
+   *
+   * Accepted values: METRIC_NAME_UNSPECIFIED, CPU_USAGE, GPU_DUTY_CYCLE
+   *
+   * @param self::NAME_* $name
+   */
+  public function setName($name)
+  {
+    $this->name = $name;
+  }
+  /**
+   * @return self::NAME_*
+   */
+  public function getName()
+  {
+    return $this->name;
+  }
+  /**
+   * Target specifies the target value for the given metric; once real metric
+   * deviates from the threshold by a certain percentage, the node count
+   * changes.
+   *
+   * @param int $target
+   */
+  public function setTarget($target)
+  {
+    $this->target = $target;
+  }
+  /**
+   * @return int
+   */
+  public function getTarget()
+  {
+    return $this->target;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1MetricSpec::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1MetricSpec');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1Model.php

@@ -0,0 +1,257 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1Model extends \Google\Collection
+{
+  protected $collection_key = 'regions';
+  protected $defaultVersionType = GoogleCloudMlV1Version::class;
+  protected $defaultVersionDataType = '';
+  /**
+   * Optional. The description specified for the model when it was created.
+   *
+   * @var string
+   */
+  public $description;
+  /**
+   * `etag` is used for optimistic concurrency control as a way to help prevent
+   * simultaneous updates of a model from overwriting each other. It is strongly
+   * suggested that systems make use of the `etag` in the read-modify-write
+   * cycle to perform model updates in order to avoid race conditions: An `etag`
+   * is returned in the response to `GetModel`, and systems are expected to put
+   * that etag in the request to `UpdateModel` to ensure that their change will
+   * be applied to the model as intended.
+   *
+   * @var string
+   */
+  public $etag;
+  /**
+   * Optional. One or more labels that you can add, to organize your models.
+   * Each label is a key-value pair, where both the key and the value are
+   * arbitrary strings that you supply. For more information, see the
+   * documentation on using labels. Note that this field is not updatable for
+   * mls1* models.
+   *
+   * @var string[]
+   */
+  public $labels;
+  /**
+   * Required. The name specified for the model when it was created. The model
+   * name must be unique within the project it is created in.
+   *
+   * @var string
+   */
+  public $name;
+  /**
+   * Optional. If true, online prediction nodes send `stderr` and `stdout`
+   * streams to Cloud Logging. These can be more verbose than the standard
+   * access logs (see `onlinePredictionLogging`) and can incur higher cost.
+   * However, they are helpful for debugging. Note that [logs may incur a
+   * cost](/stackdriver/pricing), especially if your project receives prediction
+   * requests at a high QPS. Estimate your costs before enabling this option.
+   * Default is false.
+   *
+   * @var bool
+   */
+  public $onlinePredictionConsoleLogging;
+  /**
+   * Optional. If true, online prediction access logs are sent to Cloud Logging.
+   * These logs are like standard server access logs, containing information
+   * like timestamp and latency for each request. Note that [logs may incur a
+   * cost](/stackdriver/pricing), especially if your project receives prediction
+   * requests at a high queries per second rate (QPS). Estimate your costs
+   * before enabling this option. Default is false.
+   *
+   * @var bool
+   */
+  public $onlinePredictionLogging;
+  /**
+   * Optional. The list of regions where the model is going to be deployed. Only
+   * one region per model is supported. Defaults to 'us-central1' if nothing is
+   * set. See the available regions for AI Platform services. Note: * No matter
+   * where a model is deployed, it can always be accessed by users from
+   * anywhere, both for online and batch prediction. * The region for a batch
+   * prediction job is set by the region field when submitting the batch
+   * prediction job and does not take its value from this field.
+   *
+   * @var string[]
+   */
+  public $regions;
+
+  /**
+   * Output only. The default version of the model. This version will be used to
+   * handle prediction requests that do not specify a version. You can change
+   * the default version by calling projects.models.versions.setDefault.
+   *
+   * @param GoogleCloudMlV1Version $defaultVersion
+   */
+  public function setDefaultVersion(GoogleCloudMlV1Version $defaultVersion)
+  {
+    $this->defaultVersion = $defaultVersion;
+  }
+  /**
+   * @return GoogleCloudMlV1Version
+   */
+  public function getDefaultVersion()
+  {
+    return $this->defaultVersion;
+  }
+  /**
+   * Optional. The description specified for the model when it was created.
+   *
+   * @param string $description
+   */
+  public function setDescription($description)
+  {
+    $this->description = $description;
+  }
+  /**
+   * @return string
+   */
+  public function getDescription()
+  {
+    return $this->description;
+  }
+  /**
+   * `etag` is used for optimistic concurrency control as a way to help prevent
+   * simultaneous updates of a model from overwriting each other. It is strongly
+   * suggested that systems make use of the `etag` in the read-modify-write
+   * cycle to perform model updates in order to avoid race conditions: An `etag`
+   * is returned in the response to `GetModel`, and systems are expected to put
+   * that etag in the request to `UpdateModel` to ensure that their change will
+   * be applied to the model as intended.
+   *
+   * @param string $etag
+   */
+  public function setEtag($etag)
+  {
+    $this->etag = $etag;
+  }
+  /**
+   * @return string
+   */
+  public function getEtag()
+  {
+    return $this->etag;
+  }
+  /**
+   * Optional. One or more labels that you can add, to organize your models.
+   * Each label is a key-value pair, where both the key and the value are
+   * arbitrary strings that you supply. For more information, see the
+   * documentation on using labels. Note that this field is not updatable for
+   * mls1* models.
+   *
+   * @param string[] $labels
+   */
+  public function setLabels($labels)
+  {
+    $this->labels = $labels;
+  }
+  /**
+   * @return string[]
+   */
+  public function getLabels()
+  {
+    return $this->labels;
+  }
+  /**
+   * Required. The name specified for the model when it was created. The model
+   * name must be unique within the project it is created in.
+   *
+   * @param string $name
+   */
+  public function setName($name)
+  {
+    $this->name = $name;
+  }
+  /**
+   * @return string
+   */
+  public function getName()
+  {
+    return $this->name;
+  }
+  /**
+   * Optional. If true, online prediction nodes send `stderr` and `stdout`
+   * streams to Cloud Logging. These can be more verbose than the standard
+   * access logs (see `onlinePredictionLogging`) and can incur higher cost.
+   * However, they are helpful for debugging. Note that [logs may incur a
+   * cost](/stackdriver/pricing), especially if your project receives prediction
+   * requests at a high QPS. Estimate your costs before enabling this option.
+   * Default is false.
+   *
+   * @param bool $onlinePredictionConsoleLogging
+   */
+  public function setOnlinePredictionConsoleLogging($onlinePredictionConsoleLogging)
+  {
+    $this->onlinePredictionConsoleLogging = $onlinePredictionConsoleLogging;
+  }
+  /**
+   * @return bool
+   */
+  public function getOnlinePredictionConsoleLogging()
+  {
+    return $this->onlinePredictionConsoleLogging;
+  }
+  /**
+   * Optional. If true, online prediction access logs are sent to Cloud Logging.
+   * These logs are like standard server access logs, containing information
+   * like timestamp and latency for each request. Note that [logs may incur a
+   * cost](/stackdriver/pricing), especially if your project receives prediction
+   * requests at a high queries per second rate (QPS). Estimate your costs
+   * before enabling this option. Default is false.
+   *
+   * @param bool $onlinePredictionLogging
+   */
+  public function setOnlinePredictionLogging($onlinePredictionLogging)
+  {
+    $this->onlinePredictionLogging = $onlinePredictionLogging;
+  }
+  /**
+   * @return bool
+   */
+  public function getOnlinePredictionLogging()
+  {
+    return $this->onlinePredictionLogging;
+  }
+  /**
+   * Optional. The list of regions where the model is going to be deployed. Only
+   * one region per model is supported. Defaults to 'us-central1' if nothing is
+   * set. See the available regions for AI Platform services. Note: * No matter
+   * where a model is deployed, it can always be accessed by users from
+   * anywhere, both for online and batch prediction. * The region for a batch
+   * prediction job is set by the region field when submitting the batch
+   * prediction job and does not take its value from this field.
+   *
+   * @param string[] $regions
+   */
+  public function setRegions($regions)
+  {
+    $this->regions = $regions;
+  }
+  /**
+   * @return string[]
+   */
+  public function getRegions()
+  {
+    return $this->regions;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1Model::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1Model');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1OperationMetadata.php

@@ -0,0 +1,253 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1OperationMetadata extends \Google\Model
+{
+  /**
+   * Unspecified operation type.
+   */
+  public const OPERATION_TYPE_OPERATION_TYPE_UNSPECIFIED = 'OPERATION_TYPE_UNSPECIFIED';
+  /**
+   * An operation to create a new version.
+   */
+  public const OPERATION_TYPE_CREATE_VERSION = 'CREATE_VERSION';
+  /**
+   * An operation to delete an existing version.
+   */
+  public const OPERATION_TYPE_DELETE_VERSION = 'DELETE_VERSION';
+  /**
+   * An operation to delete an existing model.
+   */
+  public const OPERATION_TYPE_DELETE_MODEL = 'DELETE_MODEL';
+  /**
+   * An operation to update an existing model.
+   */
+  public const OPERATION_TYPE_UPDATE_MODEL = 'UPDATE_MODEL';
+  /**
+   * An operation to update an existing version.
+   */
+  public const OPERATION_TYPE_UPDATE_VERSION = 'UPDATE_VERSION';
+  /**
+   * An operation to update project configuration.
+   */
+  public const OPERATION_TYPE_UPDATE_CONFIG = 'UPDATE_CONFIG';
+  /**
+   * The time the operation was submitted.
+   *
+   * @var string
+   */
+  public $createTime;
+  /**
+   * The time operation processing completed.
+   *
+   * @var string
+   */
+  public $endTime;
+  /**
+   * Indicates whether a request to cancel this operation has been made.
+   *
+   * @var bool
+   */
+  public $isCancellationRequested;
+  /**
+   * The user labels, inherited from the model or the model version being
+   * operated on.
+   *
+   * @var string[]
+   */
+  public $labels;
+  /**
+   * Contains the name of the model associated with the operation.
+   *
+   * @var string
+   */
+  public $modelName;
+  /**
+   * The operation type.
+   *
+   * @var string
+   */
+  public $operationType;
+  /**
+   * Contains the project number associated with the operation.
+   *
+   * @var string
+   */
+  public $projectNumber;
+  /**
+   * The time operation processing started.
+   *
+   * @var string
+   */
+  public $startTime;
+  protected $versionType = GoogleCloudMlV1Version::class;
+  protected $versionDataType = '';
+
+  /**
+   * The time the operation was submitted.
+   *
+   * @param string $createTime
+   */
+  public function setCreateTime($createTime)
+  {
+    $this->createTime = $createTime;
+  }
+  /**
+   * @return string
+   */
+  public function getCreateTime()
+  {
+    return $this->createTime;
+  }
+  /**
+   * The time operation processing completed.
+   *
+   * @param string $endTime
+   */
+  public function setEndTime($endTime)
+  {
+    $this->endTime = $endTime;
+  }
+  /**
+   * @return string
+   */
+  public function getEndTime()
+  {
+    return $this->endTime;
+  }
+  /**
+   * Indicates whether a request to cancel this operation has been made.
+   *
+   * @param bool $isCancellationRequested
+   */
+  public function setIsCancellationRequested($isCancellationRequested)
+  {
+    $this->isCancellationRequested = $isCancellationRequested;
+  }
+  /**
+   * @return bool
+   */
+  public function getIsCancellationRequested()
+  {
+    return $this->isCancellationRequested;
+  }
+  /**
+   * The user labels, inherited from the model or the model version being
+   * operated on.
+   *
+   * @param string[] $labels
+   */
+  public function setLabels($labels)
+  {
+    $this->labels = $labels;
+  }
+  /**
+   * @return string[]
+   */
+  public function getLabels()
+  {
+    return $this->labels;
+  }
+  /**
+   * Contains the name of the model associated with the operation.
+   *
+   * @param string $modelName
+   */
+  public function setModelName($modelName)
+  {
+    $this->modelName = $modelName;
+  }
+  /**
+   * @return string
+   */
+  public function getModelName()
+  {
+    return $this->modelName;
+  }
+  /**
+   * The operation type.
+   *
+   * Accepted values: OPERATION_TYPE_UNSPECIFIED, CREATE_VERSION,
+   * DELETE_VERSION, DELETE_MODEL, UPDATE_MODEL, UPDATE_VERSION, UPDATE_CONFIG
+   *
+   * @param self::OPERATION_TYPE_* $operationType
+   */
+  public function setOperationType($operationType)
+  {
+    $this->operationType = $operationType;
+  }
+  /**
+   * @return self::OPERATION_TYPE_*
+   */
+  public function getOperationType()
+  {
+    return $this->operationType;
+  }
+  /**
+   * Contains the project number associated with the operation.
+   *
+   * @param string $projectNumber
+   */
+  public function setProjectNumber($projectNumber)
+  {
+    $this->projectNumber = $projectNumber;
+  }
+  /**
+   * @return string
+   */
+  public function getProjectNumber()
+  {
+    return $this->projectNumber;
+  }
+  /**
+   * The time operation processing started.
+   *
+   * @param string $startTime
+   */
+  public function setStartTime($startTime)
+  {
+    $this->startTime = $startTime;
+  }
+  /**
+   * @return string
+   */
+  public function getStartTime()
+  {
+    return $this->startTime;
+  }
+  /**
+   * Contains the version associated with the operation.
+   *
+   * @param GoogleCloudMlV1Version $version
+   */
+  public function setVersion(GoogleCloudMlV1Version $version)
+  {
+    $this->version = $version;
+  }
+  /**
+   * @return GoogleCloudMlV1Version
+   */
+  public function getVersion()
+  {
+    return $this->version;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1OperationMetadata::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1OperationMetadata');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1ParameterSpec.php

@@ -0,0 +1,218 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1ParameterSpec extends \Google\Collection
+{
+  /**
+   * By default, no scaling is applied.
+   */
+  public const SCALE_TYPE_NONE = 'NONE';
+  /**
+   * Scales the feasible space to (0, 1) linearly.
+   */
+  public const SCALE_TYPE_UNIT_LINEAR_SCALE = 'UNIT_LINEAR_SCALE';
+  /**
+   * Scales the feasible space logarithmically to (0, 1). The entire feasible
+   * space must be strictly positive.
+   */
+  public const SCALE_TYPE_UNIT_LOG_SCALE = 'UNIT_LOG_SCALE';
+  /**
+   * Scales the feasible space "reverse" logarithmically to (0, 1). The result
+   * is that values close to the top of the feasible space are spread out more
+   * than points near the bottom. The entire feasible space must be strictly
+   * positive.
+   */
+  public const SCALE_TYPE_UNIT_REVERSE_LOG_SCALE = 'UNIT_REVERSE_LOG_SCALE';
+  /**
+   * You must specify a valid type. Using this unspecified type will result in
+   * an error.
+   */
+  public const TYPE_PARAMETER_TYPE_UNSPECIFIED = 'PARAMETER_TYPE_UNSPECIFIED';
+  /**
+   * Type for real-valued parameters.
+   */
+  public const TYPE_DOUBLE = 'DOUBLE';
+  /**
+   * Type for integral parameters.
+   */
+  public const TYPE_INTEGER = 'INTEGER';
+  /**
+   * The parameter is categorical, with a value chosen from the categories
+   * field.
+   */
+  public const TYPE_CATEGORICAL = 'CATEGORICAL';
+  /**
+   * The parameter is real valued, with a fixed set of feasible points. If
+   * `type==DISCRETE`, feasible_points must be provided, and {`min_value`,
+   * `max_value`} will be ignored.
+   */
+  public const TYPE_DISCRETE = 'DISCRETE';
+  protected $collection_key = 'discreteValues';
+  /**
+   * Required if type is `CATEGORICAL`. The list of possible categories.
+   *
+   * @var string[]
+   */
+  public $categoricalValues;
+  /**
+   * Required if type is `DISCRETE`. A list of feasible points. The list should
+   * be in strictly increasing order. For instance, this parameter might have
+   * possible settings of 1.5, 2.5, and 4.0. This list should not contain more
+   * than 1,000 values.
+   *
+   * @var []
+   */
+  public $discreteValues;
+  /**
+   * Required if type is `DOUBLE` or `INTEGER`. This field should be unset if
+   * type is `CATEGORICAL`. This value should be integers if type is `INTEGER`.
+   *
+   * @var 
+   */
+  public $maxValue;
+  /**
+   * Required if type is `DOUBLE` or `INTEGER`. This field should be unset if
+   * type is `CATEGORICAL`. This value should be integers if type is INTEGER.
+   *
+   * @var 
+   */
+  public $minValue;
+  /**
+   * Required. The parameter name must be unique amongst all ParameterConfigs in
+   * a HyperparameterSpec message. E.g., "learning_rate".
+   *
+   * @var string
+   */
+  public $parameterName;
+  /**
+   * Optional. How the parameter should be scaled to the hypercube. Leave unset
+   * for categorical parameters. Some kind of scaling is strongly recommended
+   * for real or integral parameters (e.g., `UNIT_LINEAR_SCALE`).
+   *
+   * @var string
+   */
+  public $scaleType;
+  /**
+   * Required. The type of the parameter.
+   *
+   * @var string
+   */
+  public $type;
+
+  /**
+   * Required if type is `CATEGORICAL`. The list of possible categories.
+   *
+   * @param string[] $categoricalValues
+   */
+  public function setCategoricalValues($categoricalValues)
+  {
+    $this->categoricalValues = $categoricalValues;
+  }
+  /**
+   * @return string[]
+   */
+  public function getCategoricalValues()
+  {
+    return $this->categoricalValues;
+  }
+  public function setDiscreteValues($discreteValues)
+  {
+    $this->discreteValues = $discreteValues;
+  }
+  public function getDiscreteValues()
+  {
+    return $this->discreteValues;
+  }
+  public function setMaxValue($maxValue)
+  {
+    $this->maxValue = $maxValue;
+  }
+  public function getMaxValue()
+  {
+    return $this->maxValue;
+  }
+  public function setMinValue($minValue)
+  {
+    $this->minValue = $minValue;
+  }
+  public function getMinValue()
+  {
+    return $this->minValue;
+  }
+  /**
+   * Required. The parameter name must be unique amongst all ParameterConfigs in
+   * a HyperparameterSpec message. E.g., "learning_rate".
+   *
+   * @param string $parameterName
+   */
+  public function setParameterName($parameterName)
+  {
+    $this->parameterName = $parameterName;
+  }
+  /**
+   * @return string
+   */
+  public function getParameterName()
+  {
+    return $this->parameterName;
+  }
+  /**
+   * Optional. How the parameter should be scaled to the hypercube. Leave unset
+   * for categorical parameters. Some kind of scaling is strongly recommended
+   * for real or integral parameters (e.g., `UNIT_LINEAR_SCALE`).
+   *
+   * Accepted values: NONE, UNIT_LINEAR_SCALE, UNIT_LOG_SCALE,
+   * UNIT_REVERSE_LOG_SCALE
+   *
+   * @param self::SCALE_TYPE_* $scaleType
+   */
+  public function setScaleType($scaleType)
+  {
+    $this->scaleType = $scaleType;
+  }
+  /**
+   * @return self::SCALE_TYPE_*
+   */
+  public function getScaleType()
+  {
+    return $this->scaleType;
+  }
+  /**
+   * Required. The type of the parameter.
+   *
+   * Accepted values: PARAMETER_TYPE_UNSPECIFIED, DOUBLE, INTEGER, CATEGORICAL,
+   * DISCRETE
+   *
+   * @param self::TYPE_* $type
+   */
+  public function setType($type)
+  {
+    $this->type = $type;
+  }
+  /**
+   * @return self::TYPE_*
+   */
+  public function getType()
+  {
+    return $this->type;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1ParameterSpec::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1ParameterSpec');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1PredictRequest.php

@@ -0,0 +1,46 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1PredictRequest extends \Google\Model
+{
+  protected $httpBodyType = GoogleApiHttpBody::class;
+  protected $httpBodyDataType = '';
+
+  /**
+   * Required. The prediction request body. Refer to the [request body details
+   * section](#request-body-details) for more information on how to structure
+   * your request.
+   *
+   * @param GoogleApiHttpBody $httpBody
+   */
+  public function setHttpBody(GoogleApiHttpBody $httpBody)
+  {
+    $this->httpBody = $httpBody;
+  }
+  /**
+   * @return GoogleApiHttpBody
+   */
+  public function getHttpBody()
+  {
+    return $this->httpBody;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1PredictRequest::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1PredictRequest');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1PredictionInput.php

@@ -0,0 +1,393 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1PredictionInput extends \Google\Collection
+{
+  /**
+   * Unspecified format.
+   */
+  public const DATA_FORMAT_DATA_FORMAT_UNSPECIFIED = 'DATA_FORMAT_UNSPECIFIED';
+  /**
+   * Each line of the file is a JSON dictionary representing one record.
+   */
+  public const DATA_FORMAT_JSON = 'JSON';
+  /**
+   * Deprecated. Use JSON instead.
+   */
+  public const DATA_FORMAT_TEXT = 'TEXT';
+  /**
+   * The source file is a TFRecord file. Currently available only for input
+   * data.
+   */
+  public const DATA_FORMAT_TF_RECORD = 'TF_RECORD';
+  /**
+   * The source file is a GZIP-compressed TFRecord file. Currently available
+   * only for input data.
+   */
+  public const DATA_FORMAT_TF_RECORD_GZIP = 'TF_RECORD_GZIP';
+  /**
+   * Values are comma-separated rows, with keys in a separate file. Currently
+   * available only for output data.
+   */
+  public const DATA_FORMAT_CSV = 'CSV';
+  /**
+   * Unspecified format.
+   */
+  public const OUTPUT_DATA_FORMAT_DATA_FORMAT_UNSPECIFIED = 'DATA_FORMAT_UNSPECIFIED';
+  /**
+   * Each line of the file is a JSON dictionary representing one record.
+   */
+  public const OUTPUT_DATA_FORMAT_JSON = 'JSON';
+  /**
+   * Deprecated. Use JSON instead.
+   */
+  public const OUTPUT_DATA_FORMAT_TEXT = 'TEXT';
+  /**
+   * The source file is a TFRecord file. Currently available only for input
+   * data.
+   */
+  public const OUTPUT_DATA_FORMAT_TF_RECORD = 'TF_RECORD';
+  /**
+   * The source file is a GZIP-compressed TFRecord file. Currently available
+   * only for input data.
+   */
+  public const OUTPUT_DATA_FORMAT_TF_RECORD_GZIP = 'TF_RECORD_GZIP';
+  /**
+   * Values are comma-separated rows, with keys in a separate file. Currently
+   * available only for output data.
+   */
+  public const OUTPUT_DATA_FORMAT_CSV = 'CSV';
+  protected $collection_key = 'inputPaths';
+  /**
+   * Optional. Number of records per batch, defaults to 64. The service will
+   * buffer batch_size number of records in memory before invoking one
+   * Tensorflow prediction call internally. So take the record size and memory
+   * available into consideration when setting this parameter.
+   *
+   * @var string
+   */
+  public $batchSize;
+  /**
+   * Required. The format of the input data files.
+   *
+   * @var string
+   */
+  public $dataFormat;
+  /**
+   * Required. The Cloud Storage location of the input data files. May contain
+   * wildcards.
+   *
+   * @var string[]
+   */
+  public $inputPaths;
+  /**
+   * Optional. The maximum number of workers to be used for parallel processing.
+   * Defaults to 10 if not specified.
+   *
+   * @var string
+   */
+  public $maxWorkerCount;
+  /**
+   * Use this field if you want to use the default version for the specified
+   * model. The string must use the following format:
+   * `"projects/YOUR_PROJECT/models/YOUR_MODEL"`
+   *
+   * @var string
+   */
+  public $modelName;
+  /**
+   * Optional. Format of the output data files, defaults to JSON.
+   *
+   * @var string
+   */
+  public $outputDataFormat;
+  /**
+   * Required. The output Google Cloud Storage location.
+   *
+   * @var string
+   */
+  public $outputPath;
+  /**
+   * Required. The Google Compute Engine region to run the prediction job in.
+   * See the available regions for AI Platform services.
+   *
+   * @var string
+   */
+  public $region;
+  /**
+   * Optional. The AI Platform runtime version to use for this batch prediction.
+   * If not set, AI Platform will pick the runtime version used during the
+   * CreateVersion request for this model version, or choose the latest stable
+   * version when model version information is not available such as when the
+   * model is specified by uri.
+   *
+   * @var string
+   */
+  public $runtimeVersion;
+  /**
+   * Optional. The name of the signature defined in the SavedModel to use for
+   * this job. Please refer to
+   * [SavedModel](https://tensorflow.github.io/serving/serving_basic.html) for
+   * information about how to use signatures. Defaults to [DEFAULT_SERVING_SIGNA
+   * TURE_DEF_KEY](https://www.tensorflow.org/api_docs/python/tf/saved_model/sig
+   * nature_constants) , which is "serving_default".
+   *
+   * @var string
+   */
+  public $signatureName;
+  /**
+   * Use this field if you want to specify a Google Cloud Storage path for the
+   * model to use.
+   *
+   * @var string
+   */
+  public $uri;
+  /**
+   * Use this field if you want to specify a version of the model to use. The
+   * string is formatted the same way as `model_version`, with the addition of
+   * the version information:
+   * `"projects/YOUR_PROJECT/models/YOUR_MODEL/versions/YOUR_VERSION"`
+   *
+   * @var string
+   */
+  public $versionName;
+
+  /**
+   * Optional. Number of records per batch, defaults to 64. The service will
+   * buffer batch_size number of records in memory before invoking one
+   * Tensorflow prediction call internally. So take the record size and memory
+   * available into consideration when setting this parameter.
+   *
+   * @param string $batchSize
+   */
+  public function setBatchSize($batchSize)
+  {
+    $this->batchSize = $batchSize;
+  }
+  /**
+   * @return string
+   */
+  public function getBatchSize()
+  {
+    return $this->batchSize;
+  }
+  /**
+   * Required. The format of the input data files.
+   *
+   * Accepted values: DATA_FORMAT_UNSPECIFIED, JSON, TEXT, TF_RECORD,
+   * TF_RECORD_GZIP, CSV
+   *
+   * @param self::DATA_FORMAT_* $dataFormat
+   */
+  public function setDataFormat($dataFormat)
+  {
+    $this->dataFormat = $dataFormat;
+  }
+  /**
+   * @return self::DATA_FORMAT_*
+   */
+  public function getDataFormat()
+  {
+    return $this->dataFormat;
+  }
+  /**
+   * Required. The Cloud Storage location of the input data files. May contain
+   * wildcards.
+   *
+   * @param string[] $inputPaths
+   */
+  public function setInputPaths($inputPaths)
+  {
+    $this->inputPaths = $inputPaths;
+  }
+  /**
+   * @return string[]
+   */
+  public function getInputPaths()
+  {
+    return $this->inputPaths;
+  }
+  /**
+   * Optional. The maximum number of workers to be used for parallel processing.
+   * Defaults to 10 if not specified.
+   *
+   * @param string $maxWorkerCount
+   */
+  public function setMaxWorkerCount($maxWorkerCount)
+  {
+    $this->maxWorkerCount = $maxWorkerCount;
+  }
+  /**
+   * @return string
+   */
+  public function getMaxWorkerCount()
+  {
+    return $this->maxWorkerCount;
+  }
+  /**
+   * Use this field if you want to use the default version for the specified
+   * model. The string must use the following format:
+   * `"projects/YOUR_PROJECT/models/YOUR_MODEL"`
+   *
+   * @param string $modelName
+   */
+  public function setModelName($modelName)
+  {
+    $this->modelName = $modelName;
+  }
+  /**
+   * @return string
+   */
+  public function getModelName()
+  {
+    return $this->modelName;
+  }
+  /**
+   * Optional. Format of the output data files, defaults to JSON.
+   *
+   * Accepted values: DATA_FORMAT_UNSPECIFIED, JSON, TEXT, TF_RECORD,
+   * TF_RECORD_GZIP, CSV
+   *
+   * @param self::OUTPUT_DATA_FORMAT_* $outputDataFormat
+   */
+  public function setOutputDataFormat($outputDataFormat)
+  {
+    $this->outputDataFormat = $outputDataFormat;
+  }
+  /**
+   * @return self::OUTPUT_DATA_FORMAT_*
+   */
+  public function getOutputDataFormat()
+  {
+    return $this->outputDataFormat;
+  }
+  /**
+   * Required. The output Google Cloud Storage location.
+   *
+   * @param string $outputPath
+   */
+  public function setOutputPath($outputPath)
+  {
+    $this->outputPath = $outputPath;
+  }
+  /**
+   * @return string
+   */
+  public function getOutputPath()
+  {
+    return $this->outputPath;
+  }
+  /**
+   * Required. The Google Compute Engine region to run the prediction job in.
+   * See the available regions for AI Platform services.
+   *
+   * @param string $region
+   */
+  public function setRegion($region)
+  {
+    $this->region = $region;
+  }
+  /**
+   * @return string
+   */
+  public function getRegion()
+  {
+    return $this->region;
+  }
+  /**
+   * Optional. The AI Platform runtime version to use for this batch prediction.
+   * If not set, AI Platform will pick the runtime version used during the
+   * CreateVersion request for this model version, or choose the latest stable
+   * version when model version information is not available such as when the
+   * model is specified by uri.
+   *
+   * @param string $runtimeVersion
+   */
+  public function setRuntimeVersion($runtimeVersion)
+  {
+    $this->runtimeVersion = $runtimeVersion;
+  }
+  /**
+   * @return string
+   */
+  public function getRuntimeVersion()
+  {
+    return $this->runtimeVersion;
+  }
+  /**
+   * Optional. The name of the signature defined in the SavedModel to use for
+   * this job. Please refer to
+   * [SavedModel](https://tensorflow.github.io/serving/serving_basic.html) for
+   * information about how to use signatures. Defaults to [DEFAULT_SERVING_SIGNA
+   * TURE_DEF_KEY](https://www.tensorflow.org/api_docs/python/tf/saved_model/sig
+   * nature_constants) , which is "serving_default".
+   *
+   * @param string $signatureName
+   */
+  public function setSignatureName($signatureName)
+  {
+    $this->signatureName = $signatureName;
+  }
+  /**
+   * @return string
+   */
+  public function getSignatureName()
+  {
+    return $this->signatureName;
+  }
+  /**
+   * Use this field if you want to specify a Google Cloud Storage path for the
+   * model to use.
+   *
+   * @param string $uri
+   */
+  public function setUri($uri)
+  {
+    $this->uri = $uri;
+  }
+  /**
+   * @return string
+   */
+  public function getUri()
+  {
+    return $this->uri;
+  }
+  /**
+   * Use this field if you want to specify a version of the model to use. The
+   * string is formatted the same way as `model_version`, with the addition of
+   * the version information:
+   * `"projects/YOUR_PROJECT/models/YOUR_MODEL/versions/YOUR_VERSION"`
+   *
+   * @param string $versionName
+   */
+  public function setVersionName($versionName)
+  {
+    $this->versionName = $versionName;
+  }
+  /**
+   * @return string
+   */
+  public function getVersionName()
+  {
+    return $this->versionName;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1PredictionInput::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1PredictionInput');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1PredictionOutput.php

@@ -0,0 +1,106 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1PredictionOutput extends \Google\Model
+{
+  /**
+   * The number of data instances which resulted in errors.
+   *
+   * @var string
+   */
+  public $errorCount;
+  /**
+   * Node hours used by the batch prediction job.
+   *
+   * @var 
+   */
+  public $nodeHours;
+  /**
+   * The output Google Cloud Storage location provided at the job creation time.
+   *
+   * @var string
+   */
+  public $outputPath;
+  /**
+   * The number of generated predictions.
+   *
+   * @var string
+   */
+  public $predictionCount;
+
+  /**
+   * The number of data instances which resulted in errors.
+   *
+   * @param string $errorCount
+   */
+  public function setErrorCount($errorCount)
+  {
+    $this->errorCount = $errorCount;
+  }
+  /**
+   * @return string
+   */
+  public function getErrorCount()
+  {
+    return $this->errorCount;
+  }
+  public function setNodeHours($nodeHours)
+  {
+    $this->nodeHours = $nodeHours;
+  }
+  public function getNodeHours()
+  {
+    return $this->nodeHours;
+  }
+  /**
+   * The output Google Cloud Storage location provided at the job creation time.
+   *
+   * @param string $outputPath
+   */
+  public function setOutputPath($outputPath)
+  {
+    $this->outputPath = $outputPath;
+  }
+  /**
+   * @return string
+   */
+  public function getOutputPath()
+  {
+    return $this->outputPath;
+  }
+  /**
+   * The number of generated predictions.
+   *
+   * @param string $predictionCount
+   */
+  public function setPredictionCount($predictionCount)
+  {
+    $this->predictionCount = $predictionCount;
+  }
+  /**
+   * @return string
+   */
+  public function getPredictionCount()
+  {
+    return $this->predictionCount;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1PredictionOutput::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1PredictionOutput');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1ReplicaConfig.php

@@ -0,0 +1,207 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1ReplicaConfig extends \Google\Collection
+{
+  protected $collection_key = 'containerCommand';
+  protected $acceleratorConfigType = GoogleCloudMlV1AcceleratorConfig::class;
+  protected $acceleratorConfigDataType = '';
+  /**
+   * Arguments to the entrypoint command. The following rules apply for
+   * container_command and container_args: - If you do not supply command or
+   * args: The defaults defined in the Docker image are used. - If you supply a
+   * command but no args: The default EntryPoint and the default Cmd defined in
+   * the Docker image are ignored. Your command is run without any arguments. -
+   * If you supply only args: The default Entrypoint defined in the Docker image
+   * is run with the args that you supplied. - If you supply a command and args:
+   * The default Entrypoint and the default Cmd defined in the Docker image are
+   * ignored. Your command is run with your args. It cannot be set if custom
+   * container image is not provided. Note that this field and
+   * [TrainingInput.args] are mutually exclusive, i.e., both cannot be set at
+   * the same time.
+   *
+   * @var string[]
+   */
+  public $containerArgs;
+  /**
+   * The command with which the replica's custom container is run. If provided,
+   * it will override default ENTRYPOINT of the docker image. If not provided,
+   * the docker image's ENTRYPOINT is used. It cannot be set if custom container
+   * image is not provided. Note that this field and [TrainingInput.args] are
+   * mutually exclusive, i.e., both cannot be set at the same time.
+   *
+   * @var string[]
+   */
+  public $containerCommand;
+  protected $diskConfigType = GoogleCloudMlV1DiskConfig::class;
+  protected $diskConfigDataType = '';
+  /**
+   * The Docker image to run on the replica. This image must be in Container
+   * Registry. Learn more about [configuring custom containers](/ai-
+   * platform/training/docs/distributed-training-containers).
+   *
+   * @var string
+   */
+  public $imageUri;
+  /**
+   * The AI Platform runtime version that includes a TensorFlow version matching
+   * the one used in the custom container. This field is required if the replica
+   * is a TPU worker that uses a custom container. Otherwise, do not specify
+   * this field. This must be a [runtime version that currently supports
+   * training with TPUs](/ml-engine/docs/tensorflow/runtime-version-list#tpu-
+   * support). Note that the version of TensorFlow included in a runtime version
+   * may differ from the numbering of the runtime version itself, because it may
+   * have a different [patch version](https://www.tensorflow.org/guide/version_c
+   * ompat#semantic_versioning_20). In this field, you must specify the runtime
+   * version (TensorFlow minor version). For example, if your custom container
+   * runs TensorFlow `1.x.y`, specify `1.x`.
+   *
+   * @var string
+   */
+  public $tpuTfVersion;
+
+  /**
+   * Represents the type and number of accelerators used by the replica. [Learn
+   * about restrictions on accelerator configurations for training.](/ai-
+   * platform/training/docs/using-gpus#compute-engine-machine-types-with-gpu)
+   *
+   * @param GoogleCloudMlV1AcceleratorConfig $acceleratorConfig
+   */
+  public function setAcceleratorConfig(GoogleCloudMlV1AcceleratorConfig $acceleratorConfig)
+  {
+    $this->acceleratorConfig = $acceleratorConfig;
+  }
+  /**
+   * @return GoogleCloudMlV1AcceleratorConfig
+   */
+  public function getAcceleratorConfig()
+  {
+    return $this->acceleratorConfig;
+  }
+  /**
+   * Arguments to the entrypoint command. The following rules apply for
+   * container_command and container_args: - If you do not supply command or
+   * args: The defaults defined in the Docker image are used. - If you supply a
+   * command but no args: The default EntryPoint and the default Cmd defined in
+   * the Docker image are ignored. Your command is run without any arguments. -
+   * If you supply only args: The default Entrypoint defined in the Docker image
+   * is run with the args that you supplied. - If you supply a command and args:
+   * The default Entrypoint and the default Cmd defined in the Docker image are
+   * ignored. Your command is run with your args. It cannot be set if custom
+   * container image is not provided. Note that this field and
+   * [TrainingInput.args] are mutually exclusive, i.e., both cannot be set at
+   * the same time.
+   *
+   * @param string[] $containerArgs
+   */
+  public function setContainerArgs($containerArgs)
+  {
+    $this->containerArgs = $containerArgs;
+  }
+  /**
+   * @return string[]
+   */
+  public function getContainerArgs()
+  {
+    return $this->containerArgs;
+  }
+  /**
+   * The command with which the replica's custom container is run. If provided,
+   * it will override default ENTRYPOINT of the docker image. If not provided,
+   * the docker image's ENTRYPOINT is used. It cannot be set if custom container
+   * image is not provided. Note that this field and [TrainingInput.args] are
+   * mutually exclusive, i.e., both cannot be set at the same time.
+   *
+   * @param string[] $containerCommand
+   */
+  public function setContainerCommand($containerCommand)
+  {
+    $this->containerCommand = $containerCommand;
+  }
+  /**
+   * @return string[]
+   */
+  public function getContainerCommand()
+  {
+    return $this->containerCommand;
+  }
+  /**
+   * Represents the configuration of disk options.
+   *
+   * @param GoogleCloudMlV1DiskConfig $diskConfig
+   */
+  public function setDiskConfig(GoogleCloudMlV1DiskConfig $diskConfig)
+  {
+    $this->diskConfig = $diskConfig;
+  }
+  /**
+   * @return GoogleCloudMlV1DiskConfig
+   */
+  public function getDiskConfig()
+  {
+    return $this->diskConfig;
+  }
+  /**
+   * The Docker image to run on the replica. This image must be in Container
+   * Registry. Learn more about [configuring custom containers](/ai-
+   * platform/training/docs/distributed-training-containers).
+   *
+   * @param string $imageUri
+   */
+  public function setImageUri($imageUri)
+  {
+    $this->imageUri = $imageUri;
+  }
+  /**
+   * @return string
+   */
+  public function getImageUri()
+  {
+    return $this->imageUri;
+  }
+  /**
+   * The AI Platform runtime version that includes a TensorFlow version matching
+   * the one used in the custom container. This field is required if the replica
+   * is a TPU worker that uses a custom container. Otherwise, do not specify
+   * this field. This must be a [runtime version that currently supports
+   * training with TPUs](/ml-engine/docs/tensorflow/runtime-version-list#tpu-
+   * support). Note that the version of TensorFlow included in a runtime version
+   * may differ from the numbering of the runtime version itself, because it may
+   * have a different [patch version](https://www.tensorflow.org/guide/version_c
+   * ompat#semantic_versioning_20). In this field, you must specify the runtime
+   * version (TensorFlow minor version). For example, if your custom container
+   * runs TensorFlow `1.x.y`, specify `1.x`.
+   *
+   * @param string $tpuTfVersion
+   */
+  public function setTpuTfVersion($tpuTfVersion)
+  {
+    $this->tpuTfVersion = $tpuTfVersion;
+  }
+  /**
+   * @return string
+   */
+  public function getTpuTfVersion()
+  {
+    return $this->tpuTfVersion;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1ReplicaConfig::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1ReplicaConfig');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1RequestLoggingConfig.php

@@ -0,0 +1,76 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1RequestLoggingConfig extends \Google\Model
+{
+  /**
+   * Required. Fully qualified BigQuery table name in the following format: "
+   * project_id.dataset_name.table_name" The specified table must already exist,
+   * and the "Cloud ML Service Agent" for your project must have permission to
+   * write to it. The table must have the following
+   * [schema](/bigquery/docs/schemas): Field name Type Mode model STRING
+   * REQUIRED model_version STRING REQUIRED time TIMESTAMP REQUIRED raw_data
+   * STRING REQUIRED raw_prediction STRING NULLABLE groundtruth STRING NULLABLE
+   *
+   * @var string
+   */
+  public $bigqueryTableName;
+  /**
+   * Percentage of requests to be logged, expressed as a fraction from 0 to 1.
+   * For example, if you want to log 10% of requests, enter `0.1`. The sampling
+   * window is the lifetime of the model version. Defaults to 0.
+   *
+   * @var 
+   */
+  public $samplingPercentage;
+
+  /**
+   * Required. Fully qualified BigQuery table name in the following format: "
+   * project_id.dataset_name.table_name" The specified table must already exist,
+   * and the "Cloud ML Service Agent" for your project must have permission to
+   * write to it. The table must have the following
+   * [schema](/bigquery/docs/schemas): Field name Type Mode model STRING
+   * REQUIRED model_version STRING REQUIRED time TIMESTAMP REQUIRED raw_data
+   * STRING REQUIRED raw_prediction STRING NULLABLE groundtruth STRING NULLABLE
+   *
+   * @param string $bigqueryTableName
+   */
+  public function setBigqueryTableName($bigqueryTableName)
+  {
+    $this->bigqueryTableName = $bigqueryTableName;
+  }
+  /**
+   * @return string
+   */
+  public function getBigqueryTableName()
+  {
+    return $this->bigqueryTableName;
+  }
+  public function setSamplingPercentage($samplingPercentage)
+  {
+    $this->samplingPercentage = $samplingPercentage;
+  }
+  public function getSamplingPercentage()
+  {
+    return $this->samplingPercentage;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1RequestLoggingConfig::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1RequestLoggingConfig');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1RouteMap.php

@@ -0,0 +1,132 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1RouteMap extends \Google\Model
+{
+  /**
+   * HTTP path on the container to send health checkss to. AI Platform
+   * Prediction intermittently sends GET requests to this path on the
+   * container's IP address and port to check that the container is healthy.
+   * Read more about [health checks](/ai-platform/prediction/docs/custom-
+   * container-requirements#checks). For example, if you set this field to
+   * `/bar`, then AI Platform Prediction intermittently sends a GET request to
+   * the `/bar` path on the port of your container specified by the first value
+   * of Version.container.ports. If you don't specify this field, it defaults to
+   * the following value: /v1/models/ MODEL/versions/VERSION The placeholders in
+   * this value are replaced as follows: * MODEL: The name of the parent Model.
+   * This does not include the "projects/PROJECT_ID/models/" prefix that the API
+   * returns in output; it is the bare model name, as provided to
+   * projects.models.create. * VERSION: The name of the model version. This does
+   * not include the "projects/PROJECT_ID /models/MODEL/versions/" prefix that
+   * the API returns in output; it is the bare version name, as provided to
+   * projects.models.versions.create.
+   *
+   * @var string
+   */
+  public $health;
+  /**
+   * HTTP path on the container to send prediction requests to. AI Platform
+   * Prediction forwards requests sent using projects.predict to this path on
+   * the container's IP address and port. AI Platform Prediction then returns
+   * the container's response in the API response. For example, if you set this
+   * field to `/foo`, then when AI Platform Prediction receives a prediction
+   * request, it forwards the request body in a POST request to the `/foo` path
+   * on the port of your container specified by the first value of
+   * Version.container.ports. If you don't specify this field, it defaults to
+   * the following value: /v1/models/MODEL/versions/VERSION:predict The
+   * placeholders in this value are replaced as follows: * MODEL: The name of
+   * the parent Model. This does not include the "projects/PROJECT_ID/models/"
+   * prefix that the API returns in output; it is the bare model name, as
+   * provided to projects.models.create. * VERSION: The name of the model
+   * version. This does not include the
+   * "projects/PROJECT_ID/models/MODEL/versions/" prefix that the API returns in
+   * output; it is the bare version name, as provided to
+   * projects.models.versions.create.
+   *
+   * @var string
+   */
+  public $predict;
+
+  /**
+   * HTTP path on the container to send health checkss to. AI Platform
+   * Prediction intermittently sends GET requests to this path on the
+   * container's IP address and port to check that the container is healthy.
+   * Read more about [health checks](/ai-platform/prediction/docs/custom-
+   * container-requirements#checks). For example, if you set this field to
+   * `/bar`, then AI Platform Prediction intermittently sends a GET request to
+   * the `/bar` path on the port of your container specified by the first value
+   * of Version.container.ports. If you don't specify this field, it defaults to
+   * the following value: /v1/models/ MODEL/versions/VERSION The placeholders in
+   * this value are replaced as follows: * MODEL: The name of the parent Model.
+   * This does not include the "projects/PROJECT_ID/models/" prefix that the API
+   * returns in output; it is the bare model name, as provided to
+   * projects.models.create. * VERSION: The name of the model version. This does
+   * not include the "projects/PROJECT_ID /models/MODEL/versions/" prefix that
+   * the API returns in output; it is the bare version name, as provided to
+   * projects.models.versions.create.
+   *
+   * @param string $health
+   */
+  public function setHealth($health)
+  {
+    $this->health = $health;
+  }
+  /**
+   * @return string
+   */
+  public function getHealth()
+  {
+    return $this->health;
+  }
+  /**
+   * HTTP path on the container to send prediction requests to. AI Platform
+   * Prediction forwards requests sent using projects.predict to this path on
+   * the container's IP address and port. AI Platform Prediction then returns
+   * the container's response in the API response. For example, if you set this
+   * field to `/foo`, then when AI Platform Prediction receives a prediction
+   * request, it forwards the request body in a POST request to the `/foo` path
+   * on the port of your container specified by the first value of
+   * Version.container.ports. If you don't specify this field, it defaults to
+   * the following value: /v1/models/MODEL/versions/VERSION:predict The
+   * placeholders in this value are replaced as follows: * MODEL: The name of
+   * the parent Model. This does not include the "projects/PROJECT_ID/models/"
+   * prefix that the API returns in output; it is the bare model name, as
+   * provided to projects.models.create. * VERSION: The name of the model
+   * version. This does not include the
+   * "projects/PROJECT_ID/models/MODEL/versions/" prefix that the API returns in
+   * output; it is the bare version name, as provided to
+   * projects.models.versions.create.
+   *
+   * @param string $predict
+   */
+  public function setPredict($predict)
+  {
+    $this->predict = $predict;
+  }
+  /**
+   * @return string
+   */
+  public function getPredict()
+  {
+    return $this->predict;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1RouteMap::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1RouteMap');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1SampledShapleyAttribution.php

@@ -0,0 +1,50 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1SampledShapleyAttribution extends \Google\Model
+{
+  /**
+   * The number of feature permutations to consider when approximating the
+   * Shapley values.
+   *
+   * @var int
+   */
+  public $numPaths;
+
+  /**
+   * The number of feature permutations to consider when approximating the
+   * Shapley values.
+   *
+   * @param int $numPaths
+   */
+  public function setNumPaths($numPaths)
+  {
+    $this->numPaths = $numPaths;
+  }
+  /**
+   * @return int
+   */
+  public function getNumPaths()
+  {
+    return $this->numPaths;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1SampledShapleyAttribution::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1SampledShapleyAttribution');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1Scheduling.php

@@ -0,0 +1,160 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1Scheduling extends \Google\Model
+{
+  /**
+   * Optional. The maximum job running time, expressed in seconds. The field can
+   * contain up to nine fractional digits, terminated by `s`. If not specified,
+   * this field defaults to `604800s` (seven days). If the training job is still
+   * running after this duration, AI Platform Training cancels it. The duration
+   * is measured from when the job enters the `RUNNING` state; therefore it does
+   * not overlap with the duration limited by Scheduling.max_wait_time. For
+   * example, if you want to ensure your job runs for no more than 2 hours, set
+   * this field to `7200s` (2 hours * 60 minutes / hour * 60 seconds / minute).
+   * If you submit your training job using the `gcloud` tool, you can [specify
+   * this field in a `config.yaml` file](/ai-platform/training/docs/training-
+   * jobs#formatting_your_configuration_parameters). For example: ```yaml
+   * trainingInput: scheduling: maxRunningTime: 7200s ```
+   *
+   * @var string
+   */
+  public $maxRunningTime;
+  /**
+   * Optional. The maximum job wait time, expressed in seconds. The field can
+   * contain up to nine fractional digits, terminated by `s`. If not specified,
+   * there is no limit to the wait time. The minimum for this field is `1800s`
+   * (30 minutes). If the training job has not entered the `RUNNING` state after
+   * this duration, AI Platform Training cancels it. After the job begins
+   * running, it can no longer be cancelled due to the maximum wait time.
+   * Therefore the duration limited by this field does not overlap with the
+   * duration limited by Scheduling.max_running_time. For example, if the job
+   * temporarily stops running and retries due to a [VM restart](/ai-
+   * platform/training/docs/overview#restarts), this cannot lead to a maximum
+   * wait time cancellation. However, independently of this constraint, AI
+   * Platform Training might stop a job if there are too many retries due to
+   * exhausted resources in a region. The following example describes how you
+   * might use this field: To cancel your job if it doesn't start running within
+   * 1 hour, set this field to `3600s` (1 hour * 60 minutes / hour * 60 seconds
+   * / minute). If the job is still in the `QUEUED` or `PREPARING` state after
+   * an hour of waiting, AI Platform Training cancels the job. If you submit
+   * your training job using the `gcloud` tool, you can [specify this field in a
+   * `config.yaml` file](/ai-platform/training/docs/training-
+   * jobs#formatting_your_configuration_parameters). For example: ```yaml
+   * trainingInput: scheduling: maxWaitTime: 3600s ```
+   *
+   * @var string
+   */
+  public $maxWaitTime;
+  /**
+   * Optional. Job scheduling will be based on this priority, which in the range
+   * [0, 1000]. The bigger the number, the higher the priority. Default to 0 if
+   * not set. If there are multiple jobs requesting same type of accelerators,
+   * the high priority job will be scheduled prior to ones with low priority.
+   *
+   * @var int
+   */
+  public $priority;
+
+  /**
+   * Optional. The maximum job running time, expressed in seconds. The field can
+   * contain up to nine fractional digits, terminated by `s`. If not specified,
+   * this field defaults to `604800s` (seven days). If the training job is still
+   * running after this duration, AI Platform Training cancels it. The duration
+   * is measured from when the job enters the `RUNNING` state; therefore it does
+   * not overlap with the duration limited by Scheduling.max_wait_time. For
+   * example, if you want to ensure your job runs for no more than 2 hours, set
+   * this field to `7200s` (2 hours * 60 minutes / hour * 60 seconds / minute).
+   * If you submit your training job using the `gcloud` tool, you can [specify
+   * this field in a `config.yaml` file](/ai-platform/training/docs/training-
+   * jobs#formatting_your_configuration_parameters). For example: ```yaml
+   * trainingInput: scheduling: maxRunningTime: 7200s ```
+   *
+   * @param string $maxRunningTime
+   */
+  public function setMaxRunningTime($maxRunningTime)
+  {
+    $this->maxRunningTime = $maxRunningTime;
+  }
+  /**
+   * @return string
+   */
+  public function getMaxRunningTime()
+  {
+    return $this->maxRunningTime;
+  }
+  /**
+   * Optional. The maximum job wait time, expressed in seconds. The field can
+   * contain up to nine fractional digits, terminated by `s`. If not specified,
+   * there is no limit to the wait time. The minimum for this field is `1800s`
+   * (30 minutes). If the training job has not entered the `RUNNING` state after
+   * this duration, AI Platform Training cancels it. After the job begins
+   * running, it can no longer be cancelled due to the maximum wait time.
+   * Therefore the duration limited by this field does not overlap with the
+   * duration limited by Scheduling.max_running_time. For example, if the job
+   * temporarily stops running and retries due to a [VM restart](/ai-
+   * platform/training/docs/overview#restarts), this cannot lead to a maximum
+   * wait time cancellation. However, independently of this constraint, AI
+   * Platform Training might stop a job if there are too many retries due to
+   * exhausted resources in a region. The following example describes how you
+   * might use this field: To cancel your job if it doesn't start running within
+   * 1 hour, set this field to `3600s` (1 hour * 60 minutes / hour * 60 seconds
+   * / minute). If the job is still in the `QUEUED` or `PREPARING` state after
+   * an hour of waiting, AI Platform Training cancels the job. If you submit
+   * your training job using the `gcloud` tool, you can [specify this field in a
+   * `config.yaml` file](/ai-platform/training/docs/training-
+   * jobs#formatting_your_configuration_parameters). For example: ```yaml
+   * trainingInput: scheduling: maxWaitTime: 3600s ```
+   *
+   * @param string $maxWaitTime
+   */
+  public function setMaxWaitTime($maxWaitTime)
+  {
+    $this->maxWaitTime = $maxWaitTime;
+  }
+  /**
+   * @return string
+   */
+  public function getMaxWaitTime()
+  {
+    return $this->maxWaitTime;
+  }
+  /**
+   * Optional. Job scheduling will be based on this priority, which in the range
+   * [0, 1000]. The bigger the number, the higher the priority. Default to 0 if
+   * not set. If there are multiple jobs requesting same type of accelerators,
+   * the high priority job will be scheduled prior to ones with low priority.
+   *
+   * @param int $priority
+   */
+  public function setPriority($priority)
+  {
+    $this->priority = $priority;
+  }
+  /**
+   * @return int
+   */
+  public function getPriority()
+  {
+    return $this->priority;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1Scheduling::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1Scheduling');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1SetDefaultVersionRequest.php

@@ -0,0 +1,25 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1SetDefaultVersionRequest extends \Google\Model
+{
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1SetDefaultVersionRequest::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1SetDefaultVersionRequest');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1StopTrialRequest.php

@@ -0,0 +1,25 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1StopTrialRequest extends \Google\Model
+{
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1StopTrialRequest::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1StopTrialRequest');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1Study.php

@@ -0,0 +1,153 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1Study extends \Google\Model
+{
+  /**
+   * The study state is unspecified.
+   */
+  public const STATE_STATE_UNSPECIFIED = 'STATE_UNSPECIFIED';
+  /**
+   * The study is active.
+   */
+  public const STATE_ACTIVE = 'ACTIVE';
+  /**
+   * The study is stopped due to an internal error.
+   */
+  public const STATE_INACTIVE = 'INACTIVE';
+  /**
+   * The study is done when the service exhausts the parameter search space or
+   * max_trial_count is reached.
+   */
+  public const STATE_COMPLETED = 'COMPLETED';
+  /**
+   * Output only. Time at which the study was created.
+   *
+   * @var string
+   */
+  public $createTime;
+  /**
+   * Output only. A human readable reason why the Study is inactive. This should
+   * be empty if a study is ACTIVE or COMPLETED.
+   *
+   * @var string
+   */
+  public $inactiveReason;
+  /**
+   * Output only. The name of a study.
+   *
+   * @var string
+   */
+  public $name;
+  /**
+   * Output only. The detailed state of a study.
+   *
+   * @var string
+   */
+  public $state;
+  protected $studyConfigType = GoogleCloudMlV1StudyConfig::class;
+  protected $studyConfigDataType = '';
+
+  /**
+   * Output only. Time at which the study was created.
+   *
+   * @param string $createTime
+   */
+  public function setCreateTime($createTime)
+  {
+    $this->createTime = $createTime;
+  }
+  /**
+   * @return string
+   */
+  public function getCreateTime()
+  {
+    return $this->createTime;
+  }
+  /**
+   * Output only. A human readable reason why the Study is inactive. This should
+   * be empty if a study is ACTIVE or COMPLETED.
+   *
+   * @param string $inactiveReason
+   */
+  public function setInactiveReason($inactiveReason)
+  {
+    $this->inactiveReason = $inactiveReason;
+  }
+  /**
+   * @return string
+   */
+  public function getInactiveReason()
+  {
+    return $this->inactiveReason;
+  }
+  /**
+   * Output only. The name of a study.
+   *
+   * @param string $name
+   */
+  public function setName($name)
+  {
+    $this->name = $name;
+  }
+  /**
+   * @return string
+   */
+  public function getName()
+  {
+    return $this->name;
+  }
+  /**
+   * Output only. The detailed state of a study.
+   *
+   * Accepted values: STATE_UNSPECIFIED, ACTIVE, INACTIVE, COMPLETED
+   *
+   * @param self::STATE_* $state
+   */
+  public function setState($state)
+  {
+    $this->state = $state;
+  }
+  /**
+   * @return self::STATE_*
+   */
+  public function getState()
+  {
+    return $this->state;
+  }
+  /**
+   * Required. Configuration of the study.
+   *
+   * @param GoogleCloudMlV1StudyConfig $studyConfig
+   */
+  public function setStudyConfig(GoogleCloudMlV1StudyConfig $studyConfig)
+  {
+    $this->studyConfig = $studyConfig;
+  }
+  /**
+   * @return GoogleCloudMlV1StudyConfig
+   */
+  public function getStudyConfig()
+  {
+    return $this->studyConfig;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1Study::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1Study');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1StudyConfig.php

@@ -0,0 +1,123 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1StudyConfig extends \Google\Collection
+{
+  /**
+   * The default algorithm used by the Cloud AI Platform Vizier service.
+   */
+  public const ALGORITHM_ALGORITHM_UNSPECIFIED = 'ALGORITHM_UNSPECIFIED';
+  /**
+   * Gaussian Process Bandit.
+   */
+  public const ALGORITHM_GAUSSIAN_PROCESS_BANDIT = 'GAUSSIAN_PROCESS_BANDIT';
+  /**
+   * Simple grid search within the feasible space. To use grid search, all
+   * parameters must be `INTEGER`, `CATEGORICAL`, or `DISCRETE`.
+   */
+  public const ALGORITHM_GRID_SEARCH = 'GRID_SEARCH';
+  /**
+   * Simple random search within the feasible space.
+   */
+  public const ALGORITHM_RANDOM_SEARCH = 'RANDOM_SEARCH';
+  protected $collection_key = 'parameters';
+  /**
+   * The search algorithm specified for the study.
+   *
+   * @var string
+   */
+  public $algorithm;
+  protected $automatedStoppingConfigType = GoogleCloudMlV1AutomatedStoppingConfig::class;
+  protected $automatedStoppingConfigDataType = '';
+  protected $metricsType = GoogleCloudMlV1StudyConfigMetricSpec::class;
+  protected $metricsDataType = 'array';
+  protected $parametersType = GoogleCloudMlV1StudyConfigParameterSpec::class;
+  protected $parametersDataType = 'array';
+
+  /**
+   * The search algorithm specified for the study.
+   *
+   * Accepted values: ALGORITHM_UNSPECIFIED, GAUSSIAN_PROCESS_BANDIT,
+   * GRID_SEARCH, RANDOM_SEARCH
+   *
+   * @param self::ALGORITHM_* $algorithm
+   */
+  public function setAlgorithm($algorithm)
+  {
+    $this->algorithm = $algorithm;
+  }
+  /**
+   * @return self::ALGORITHM_*
+   */
+  public function getAlgorithm()
+  {
+    return $this->algorithm;
+  }
+  /**
+   * Configuration for automated stopping of unpromising Trials.
+   *
+   * @param GoogleCloudMlV1AutomatedStoppingConfig $automatedStoppingConfig
+   */
+  public function setAutomatedStoppingConfig(GoogleCloudMlV1AutomatedStoppingConfig $automatedStoppingConfig)
+  {
+    $this->automatedStoppingConfig = $automatedStoppingConfig;
+  }
+  /**
+   * @return GoogleCloudMlV1AutomatedStoppingConfig
+   */
+  public function getAutomatedStoppingConfig()
+  {
+    return $this->automatedStoppingConfig;
+  }
+  /**
+   * Metric specs for the study.
+   *
+   * @param GoogleCloudMlV1StudyConfigMetricSpec[] $metrics
+   */
+  public function setMetrics($metrics)
+  {
+    $this->metrics = $metrics;
+  }
+  /**
+   * @return GoogleCloudMlV1StudyConfigMetricSpec[]
+   */
+  public function getMetrics()
+  {
+    return $this->metrics;
+  }
+  /**
+   * Required. The set of parameters to tune.
+   *
+   * @param GoogleCloudMlV1StudyConfigParameterSpec[] $parameters
+   */
+  public function setParameters($parameters)
+  {
+    $this->parameters = $parameters;
+  }
+  /**
+   * @return GoogleCloudMlV1StudyConfigParameterSpec[]
+   */
+  public function getParameters()
+  {
+    return $this->parameters;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1StudyConfig::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1StudyConfig');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1StudyConfigMetricSpec.php

@@ -0,0 +1,84 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1StudyConfigMetricSpec extends \Google\Model
+{
+  /**
+   * Goal Type will default to maximize.
+   */
+  public const GOAL_GOAL_TYPE_UNSPECIFIED = 'GOAL_TYPE_UNSPECIFIED';
+  /**
+   * Maximize the goal metric.
+   */
+  public const GOAL_MAXIMIZE = 'MAXIMIZE';
+  /**
+   * Minimize the goal metric.
+   */
+  public const GOAL_MINIMIZE = 'MINIMIZE';
+  /**
+   * Required. The optimization goal of the metric.
+   *
+   * @var string
+   */
+  public $goal;
+  /**
+   * Required. The name of the metric.
+   *
+   * @var string
+   */
+  public $metric;
+
+  /**
+   * Required. The optimization goal of the metric.
+   *
+   * Accepted values: GOAL_TYPE_UNSPECIFIED, MAXIMIZE, MINIMIZE
+   *
+   * @param self::GOAL_* $goal
+   */
+  public function setGoal($goal)
+  {
+    $this->goal = $goal;
+  }
+  /**
+   * @return self::GOAL_*
+   */
+  public function getGoal()
+  {
+    return $this->goal;
+  }
+  /**
+   * Required. The name of the metric.
+   *
+   * @param string $metric
+   */
+  public function setMetric($metric)
+  {
+    $this->metric = $metric;
+  }
+  /**
+   * @return string
+   */
+  public function getMetric()
+  {
+    return $this->metric;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1StudyConfigMetricSpec::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1StudyConfigMetricSpec');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1StudyConfigParameterSpec.php

@@ -0,0 +1,283 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1StudyConfigParameterSpec extends \Google\Collection
+{
+  /**
+   * By default, no scaling is applied.
+   */
+  public const SCALE_TYPE_SCALE_TYPE_UNSPECIFIED = 'SCALE_TYPE_UNSPECIFIED';
+  /**
+   * Scales the feasible space to (0, 1) linearly.
+   */
+  public const SCALE_TYPE_UNIT_LINEAR_SCALE = 'UNIT_LINEAR_SCALE';
+  /**
+   * Scales the feasible space logarithmically to (0, 1). The entire feasible
+   * space must be strictly positive.
+   */
+  public const SCALE_TYPE_UNIT_LOG_SCALE = 'UNIT_LOG_SCALE';
+  /**
+   * Scales the feasible space "reverse" logarithmically to (0, 1). The result
+   * is that values close to the top of the feasible space are spread out more
+   * than points near the bottom. The entire feasible space must be strictly
+   * positive.
+   */
+  public const SCALE_TYPE_UNIT_REVERSE_LOG_SCALE = 'UNIT_REVERSE_LOG_SCALE';
+  /**
+   * You must specify a valid type. Using this unspecified type will result in
+   * an error.
+   */
+  public const TYPE_PARAMETER_TYPE_UNSPECIFIED = 'PARAMETER_TYPE_UNSPECIFIED';
+  /**
+   * Type for real-valued parameters.
+   */
+  public const TYPE_DOUBLE = 'DOUBLE';
+  /**
+   * Type for integral parameters.
+   */
+  public const TYPE_INTEGER = 'INTEGER';
+  /**
+   * The parameter is categorical, with a value chosen from the categories
+   * field.
+   */
+  public const TYPE_CATEGORICAL = 'CATEGORICAL';
+  /**
+   * The parameter is real valued, with a fixed set of feasible points. If
+   * `type==DISCRETE`, feasible_points must be provided, and {`min_value`,
+   * `max_value`} will be ignored.
+   */
+  public const TYPE_DISCRETE = 'DISCRETE';
+  protected $collection_key = 'childParameterSpecs';
+  protected $categoricalValueSpecType = GoogleCloudMlV1StudyConfigParameterSpecCategoricalValueSpec::class;
+  protected $categoricalValueSpecDataType = '';
+  protected $childParameterSpecsType = GoogleCloudMlV1StudyConfigParameterSpec::class;
+  protected $childParameterSpecsDataType = 'array';
+  protected $discreteValueSpecType = GoogleCloudMlV1StudyConfigParameterSpecDiscreteValueSpec::class;
+  protected $discreteValueSpecDataType = '';
+  protected $doubleValueSpecType = GoogleCloudMlV1StudyConfigParameterSpecDoubleValueSpec::class;
+  protected $doubleValueSpecDataType = '';
+  protected $integerValueSpecType = GoogleCloudMlV1StudyConfigParameterSpecIntegerValueSpec::class;
+  protected $integerValueSpecDataType = '';
+  /**
+   * Required. The parameter name must be unique amongst all ParameterSpecs.
+   *
+   * @var string
+   */
+  public $parameter;
+  protected $parentCategoricalValuesType = GoogleCloudMlV1StudyConfigParameterSpecMatchingParentCategoricalValueSpec::class;
+  protected $parentCategoricalValuesDataType = '';
+  protected $parentDiscreteValuesType = GoogleCloudMlV1StudyConfigParameterSpecMatchingParentDiscreteValueSpec::class;
+  protected $parentDiscreteValuesDataType = '';
+  protected $parentIntValuesType = GoogleCloudMlV1StudyConfigParameterSpecMatchingParentIntValueSpec::class;
+  protected $parentIntValuesDataType = '';
+  /**
+   * How the parameter should be scaled. Leave unset for categorical parameters.
+   *
+   * @var string
+   */
+  public $scaleType;
+  /**
+   * Required. The type of the parameter.
+   *
+   * @var string
+   */
+  public $type;
+
+  /**
+   * The value spec for a 'CATEGORICAL' parameter.
+   *
+   * @param GoogleCloudMlV1StudyConfigParameterSpecCategoricalValueSpec $categoricalValueSpec
+   */
+  public function setCategoricalValueSpec(GoogleCloudMlV1StudyConfigParameterSpecCategoricalValueSpec $categoricalValueSpec)
+  {
+    $this->categoricalValueSpec = $categoricalValueSpec;
+  }
+  /**
+   * @return GoogleCloudMlV1StudyConfigParameterSpecCategoricalValueSpec
+   */
+  public function getCategoricalValueSpec()
+  {
+    return $this->categoricalValueSpec;
+  }
+  /**
+   * A child node is active if the parameter's value matches the child node's
+   * matching_parent_values. If two items in child_parameter_specs have the same
+   * name, they must have disjoint matching_parent_values.
+   *
+   * @param GoogleCloudMlV1StudyConfigParameterSpec[] $childParameterSpecs
+   */
+  public function setChildParameterSpecs($childParameterSpecs)
+  {
+    $this->childParameterSpecs = $childParameterSpecs;
+  }
+  /**
+   * @return GoogleCloudMlV1StudyConfigParameterSpec[]
+   */
+  public function getChildParameterSpecs()
+  {
+    return $this->childParameterSpecs;
+  }
+  /**
+   * The value spec for a 'DISCRETE' parameter.
+   *
+   * @param GoogleCloudMlV1StudyConfigParameterSpecDiscreteValueSpec $discreteValueSpec
+   */
+  public function setDiscreteValueSpec(GoogleCloudMlV1StudyConfigParameterSpecDiscreteValueSpec $discreteValueSpec)
+  {
+    $this->discreteValueSpec = $discreteValueSpec;
+  }
+  /**
+   * @return GoogleCloudMlV1StudyConfigParameterSpecDiscreteValueSpec
+   */
+  public function getDiscreteValueSpec()
+  {
+    return $this->discreteValueSpec;
+  }
+  /**
+   * The value spec for a 'DOUBLE' parameter.
+   *
+   * @param GoogleCloudMlV1StudyConfigParameterSpecDoubleValueSpec $doubleValueSpec
+   */
+  public function setDoubleValueSpec(GoogleCloudMlV1StudyConfigParameterSpecDoubleValueSpec $doubleValueSpec)
+  {
+    $this->doubleValueSpec = $doubleValueSpec;
+  }
+  /**
+   * @return GoogleCloudMlV1StudyConfigParameterSpecDoubleValueSpec
+   */
+  public function getDoubleValueSpec()
+  {
+    return $this->doubleValueSpec;
+  }
+  /**
+   * The value spec for an 'INTEGER' parameter.
+   *
+   * @param GoogleCloudMlV1StudyConfigParameterSpecIntegerValueSpec $integerValueSpec
+   */
+  public function setIntegerValueSpec(GoogleCloudMlV1StudyConfigParameterSpecIntegerValueSpec $integerValueSpec)
+  {
+    $this->integerValueSpec = $integerValueSpec;
+  }
+  /**
+   * @return GoogleCloudMlV1StudyConfigParameterSpecIntegerValueSpec
+   */
+  public function getIntegerValueSpec()
+  {
+    return $this->integerValueSpec;
+  }
+  /**
+   * Required. The parameter name must be unique amongst all ParameterSpecs.
+   *
+   * @param string $parameter
+   */
+  public function setParameter($parameter)
+  {
+    $this->parameter = $parameter;
+  }
+  /**
+   * @return string
+   */
+  public function getParameter()
+  {
+    return $this->parameter;
+  }
+  /**
+   * @param GoogleCloudMlV1StudyConfigParameterSpecMatchingParentCategoricalValueSpec $parentCategoricalValues
+   */
+  public function setParentCategoricalValues(GoogleCloudMlV1StudyConfigParameterSpecMatchingParentCategoricalValueSpec $parentCategoricalValues)
+  {
+    $this->parentCategoricalValues = $parentCategoricalValues;
+  }
+  /**
+   * @return GoogleCloudMlV1StudyConfigParameterSpecMatchingParentCategoricalValueSpec
+   */
+  public function getParentCategoricalValues()
+  {
+    return $this->parentCategoricalValues;
+  }
+  /**
+   * @param GoogleCloudMlV1StudyConfigParameterSpecMatchingParentDiscreteValueSpec $parentDiscreteValues
+   */
+  public function setParentDiscreteValues(GoogleCloudMlV1StudyConfigParameterSpecMatchingParentDiscreteValueSpec $parentDiscreteValues)
+  {
+    $this->parentDiscreteValues = $parentDiscreteValues;
+  }
+  /**
+   * @return GoogleCloudMlV1StudyConfigParameterSpecMatchingParentDiscreteValueSpec
+   */
+  public function getParentDiscreteValues()
+  {
+    return $this->parentDiscreteValues;
+  }
+  /**
+   * @param GoogleCloudMlV1StudyConfigParameterSpecMatchingParentIntValueSpec $parentIntValues
+   */
+  public function setParentIntValues(GoogleCloudMlV1StudyConfigParameterSpecMatchingParentIntValueSpec $parentIntValues)
+  {
+    $this->parentIntValues = $parentIntValues;
+  }
+  /**
+   * @return GoogleCloudMlV1StudyConfigParameterSpecMatchingParentIntValueSpec
+   */
+  public function getParentIntValues()
+  {
+    return $this->parentIntValues;
+  }
+  /**
+   * How the parameter should be scaled. Leave unset for categorical parameters.
+   *
+   * Accepted values: SCALE_TYPE_UNSPECIFIED, UNIT_LINEAR_SCALE, UNIT_LOG_SCALE,
+   * UNIT_REVERSE_LOG_SCALE
+   *
+   * @param self::SCALE_TYPE_* $scaleType
+   */
+  public function setScaleType($scaleType)
+  {
+    $this->scaleType = $scaleType;
+  }
+  /**
+   * @return self::SCALE_TYPE_*
+   */
+  public function getScaleType()
+  {
+    return $this->scaleType;
+  }
+  /**
+   * Required. The type of the parameter.
+   *
+   * Accepted values: PARAMETER_TYPE_UNSPECIFIED, DOUBLE, INTEGER, CATEGORICAL,
+   * DISCRETE
+   *
+   * @param self::TYPE_* $type
+   */
+  public function setType($type)
+  {
+    $this->type = $type;
+  }
+  /**
+   * @return self::TYPE_*
+   */
+  public function getType()
+  {
+    return $this->type;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1StudyConfigParameterSpec::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1StudyConfigParameterSpec');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1StudyConfigParameterSpecCategoricalValueSpec.php

@@ -0,0 +1,51 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1StudyConfigParameterSpecCategoricalValueSpec extends \Google\Collection
+{
+  protected $collection_key = 'values';
+  /**
+   * Must be specified if type is `CATEGORICAL`. The list of possible
+   * categories.
+   *
+   * @var string[]
+   */
+  public $values;
+
+  /**
+   * Must be specified if type is `CATEGORICAL`. The list of possible
+   * categories.
+   *
+   * @param string[] $values
+   */
+  public function setValues($values)
+  {
+    $this->values = $values;
+  }
+  /**
+   * @return string[]
+   */
+  public function getValues()
+  {
+    return $this->values;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1StudyConfigParameterSpecCategoricalValueSpec::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1StudyConfigParameterSpecCategoricalValueSpec');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1StudyConfigParameterSpecDiscreteValueSpec.php

@@ -0,0 +1,44 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1StudyConfigParameterSpecDiscreteValueSpec extends \Google\Collection
+{
+  protected $collection_key = 'values';
+  /**
+   * Must be specified if type is `DISCRETE`. A list of feasible points. The
+   * list should be in strictly increasing order. For instance, this parameter
+   * might have possible settings of 1.5, 2.5, and 4.0. This list should not
+   * contain more than 1,000 values.
+   *
+   * @var []
+   */
+  public $values;
+
+  public function setValues($values)
+  {
+    $this->values = $values;
+  }
+  public function getValues()
+  {
+    return $this->values;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1StudyConfigParameterSpecDiscreteValueSpec::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1StudyConfigParameterSpecDiscreteValueSpec');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1StudyConfigParameterSpecDoubleValueSpec.php

@@ -0,0 +1,54 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1StudyConfigParameterSpecDoubleValueSpec extends \Google\Model
+{
+  /**
+   * Must be specified if type is `DOUBLE`. Maximum value of the parameter.
+   *
+   * @var 
+   */
+  public $maxValue;
+  /**
+   * Must be specified if type is `DOUBLE`. Minimum value of the parameter.
+   *
+   * @var 
+   */
+  public $minValue;
+
+  public function setMaxValue($maxValue)
+  {
+    $this->maxValue = $maxValue;
+  }
+  public function getMaxValue()
+  {
+    return $this->maxValue;
+  }
+  public function setMinValue($minValue)
+  {
+    $this->minValue = $minValue;
+  }
+  public function getMinValue()
+  {
+    return $this->minValue;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1StudyConfigParameterSpecDoubleValueSpec::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1StudyConfigParameterSpecDoubleValueSpec');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1StudyConfigParameterSpecIntegerValueSpec.php

@@ -0,0 +1,70 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1StudyConfigParameterSpecIntegerValueSpec extends \Google\Model
+{
+  /**
+   * Must be specified if type is `INTEGER`. Maximum value of the parameter.
+   *
+   * @var string
+   */
+  public $maxValue;
+  /**
+   * Must be specified if type is `INTEGER`. Minimum value of the parameter.
+   *
+   * @var string
+   */
+  public $minValue;
+
+  /**
+   * Must be specified if type is `INTEGER`. Maximum value of the parameter.
+   *
+   * @param string $maxValue
+   */
+  public function setMaxValue($maxValue)
+  {
+    $this->maxValue = $maxValue;
+  }
+  /**
+   * @return string
+   */
+  public function getMaxValue()
+  {
+    return $this->maxValue;
+  }
+  /**
+   * Must be specified if type is `INTEGER`. Minimum value of the parameter.
+   *
+   * @param string $minValue
+   */
+  public function setMinValue($minValue)
+  {
+    $this->minValue = $minValue;
+  }
+  /**
+   * @return string
+   */
+  public function getMinValue()
+  {
+    return $this->minValue;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1StudyConfigParameterSpecIntegerValueSpec::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1StudyConfigParameterSpecIntegerValueSpec');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1StudyConfigParameterSpecMatchingParentCategoricalValueSpec.php

@@ -0,0 +1,51 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1StudyConfigParameterSpecMatchingParentCategoricalValueSpec extends \Google\Collection
+{
+  protected $collection_key = 'values';
+  /**
+   * Matches values of the parent parameter with type 'CATEGORICAL'. All values
+   * must exist in `categorical_value_spec` of parent parameter.
+   *
+   * @var string[]
+   */
+  public $values;
+
+  /**
+   * Matches values of the parent parameter with type 'CATEGORICAL'. All values
+   * must exist in `categorical_value_spec` of parent parameter.
+   *
+   * @param string[] $values
+   */
+  public function setValues($values)
+  {
+    $this->values = $values;
+  }
+  /**
+   * @return string[]
+   */
+  public function getValues()
+  {
+    return $this->values;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1StudyConfigParameterSpecMatchingParentCategoricalValueSpec::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1StudyConfigParameterSpecMatchingParentCategoricalValueSpec');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1StudyConfigParameterSpecMatchingParentDiscreteValueSpec.php

@@ -0,0 +1,42 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1StudyConfigParameterSpecMatchingParentDiscreteValueSpec extends \Google\Collection
+{
+  protected $collection_key = 'values';
+  /**
+   * Matches values of the parent parameter with type 'DISCRETE'. All values
+   * must exist in `discrete_value_spec` of parent parameter.
+   *
+   * @var []
+   */
+  public $values;
+
+  public function setValues($values)
+  {
+    $this->values = $values;
+  }
+  public function getValues()
+  {
+    return $this->values;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1StudyConfigParameterSpecMatchingParentDiscreteValueSpec::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1StudyConfigParameterSpecMatchingParentDiscreteValueSpec');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1StudyConfigParameterSpecMatchingParentIntValueSpec.php

@@ -0,0 +1,51 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1StudyConfigParameterSpecMatchingParentIntValueSpec extends \Google\Collection
+{
+  protected $collection_key = 'values';
+  /**
+   * Matches values of the parent parameter with type 'INTEGER'. All values must
+   * lie in `integer_value_spec` of parent parameter.
+   *
+   * @var string[]
+   */
+  public $values;
+
+  /**
+   * Matches values of the parent parameter with type 'INTEGER'. All values must
+   * lie in `integer_value_spec` of parent parameter.
+   *
+   * @param string[] $values
+   */
+  public function setValues($values)
+  {
+    $this->values = $values;
+  }
+  /**
+   * @return string[]
+   */
+  public function getValues()
+  {
+    return $this->values;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1StudyConfigParameterSpecMatchingParentIntValueSpec::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1StudyConfigParameterSpecMatchingParentIntValueSpec');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1SuggestTrialsMetadata.php

@@ -0,0 +1,114 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1SuggestTrialsMetadata extends \Google\Model
+{
+  /**
+   * The identifier of the client that is requesting the suggestion.
+   *
+   * @var string
+   */
+  public $clientId;
+  /**
+   * The time operation was submitted.
+   *
+   * @var string
+   */
+  public $createTime;
+  /**
+   * The name of the study that the trial belongs to.
+   *
+   * @var string
+   */
+  public $study;
+  /**
+   * The number of suggestions requested.
+   *
+   * @var int
+   */
+  public $suggestionCount;
+
+  /**
+   * The identifier of the client that is requesting the suggestion.
+   *
+   * @param string $clientId
+   */
+  public function setClientId($clientId)
+  {
+    $this->clientId = $clientId;
+  }
+  /**
+   * @return string
+   */
+  public function getClientId()
+  {
+    return $this->clientId;
+  }
+  /**
+   * The time operation was submitted.
+   *
+   * @param string $createTime
+   */
+  public function setCreateTime($createTime)
+  {
+    $this->createTime = $createTime;
+  }
+  /**
+   * @return string
+   */
+  public function getCreateTime()
+  {
+    return $this->createTime;
+  }
+  /**
+   * The name of the study that the trial belongs to.
+   *
+   * @param string $study
+   */
+  public function setStudy($study)
+  {
+    $this->study = $study;
+  }
+  /**
+   * @return string
+   */
+  public function getStudy()
+  {
+    return $this->study;
+  }
+  /**
+   * The number of suggestions requested.
+   *
+   * @param int $suggestionCount
+   */
+  public function setSuggestionCount($suggestionCount)
+  {
+    $this->suggestionCount = $suggestionCount;
+  }
+  /**
+   * @return int
+   */
+  public function getSuggestionCount()
+  {
+    return $this->suggestionCount;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1SuggestTrialsMetadata::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1SuggestTrialsMetadata');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1SuggestTrialsRequest.php

@@ -0,0 +1,76 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1SuggestTrialsRequest extends \Google\Model
+{
+  /**
+   * Required. The identifier of the client that is requesting the suggestion.
+   * If multiple SuggestTrialsRequests have the same `client_id`, the service
+   * will return the identical suggested trial if the trial is pending, and
+   * provide a new trial if the last suggested trial was completed.
+   *
+   * @var string
+   */
+  public $clientId;
+  /**
+   * Required. The number of suggestions requested.
+   *
+   * @var int
+   */
+  public $suggestionCount;
+
+  /**
+   * Required. The identifier of the client that is requesting the suggestion.
+   * If multiple SuggestTrialsRequests have the same `client_id`, the service
+   * will return the identical suggested trial if the trial is pending, and
+   * provide a new trial if the last suggested trial was completed.
+   *
+   * @param string $clientId
+   */
+  public function setClientId($clientId)
+  {
+    $this->clientId = $clientId;
+  }
+  /**
+   * @return string
+   */
+  public function getClientId()
+  {
+    return $this->clientId;
+  }
+  /**
+   * Required. The number of suggestions requested.
+   *
+   * @param int $suggestionCount
+   */
+  public function setSuggestionCount($suggestionCount)
+  {
+    $this->suggestionCount = $suggestionCount;
+  }
+  /**
+   * @return int
+   */
+  public function getSuggestionCount()
+  {
+    return $this->suggestionCount;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1SuggestTrialsRequest::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1SuggestTrialsRequest');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1SuggestTrialsResponse.php

@@ -0,0 +1,130 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1SuggestTrialsResponse extends \Google\Collection
+{
+  /**
+   * The study state is unspecified.
+   */
+  public const STUDY_STATE_STATE_UNSPECIFIED = 'STATE_UNSPECIFIED';
+  /**
+   * The study is active.
+   */
+  public const STUDY_STATE_ACTIVE = 'ACTIVE';
+  /**
+   * The study is stopped due to an internal error.
+   */
+  public const STUDY_STATE_INACTIVE = 'INACTIVE';
+  /**
+   * The study is done when the service exhausts the parameter search space or
+   * max_trial_count is reached.
+   */
+  public const STUDY_STATE_COMPLETED = 'COMPLETED';
+  protected $collection_key = 'trials';
+  /**
+   * The time at which operation processing completed.
+   *
+   * @var string
+   */
+  public $endTime;
+  /**
+   * The time at which the operation was started.
+   *
+   * @var string
+   */
+  public $startTime;
+  /**
+   * The state of the study.
+   *
+   * @var string
+   */
+  public $studyState;
+  protected $trialsType = GoogleCloudMlV1Trial::class;
+  protected $trialsDataType = 'array';
+
+  /**
+   * The time at which operation processing completed.
+   *
+   * @param string $endTime
+   */
+  public function setEndTime($endTime)
+  {
+    $this->endTime = $endTime;
+  }
+  /**
+   * @return string
+   */
+  public function getEndTime()
+  {
+    return $this->endTime;
+  }
+  /**
+   * The time at which the operation was started.
+   *
+   * @param string $startTime
+   */
+  public function setStartTime($startTime)
+  {
+    $this->startTime = $startTime;
+  }
+  /**
+   * @return string
+   */
+  public function getStartTime()
+  {
+    return $this->startTime;
+  }
+  /**
+   * The state of the study.
+   *
+   * Accepted values: STATE_UNSPECIFIED, ACTIVE, INACTIVE, COMPLETED
+   *
+   * @param self::STUDY_STATE_* $studyState
+   */
+  public function setStudyState($studyState)
+  {
+    $this->studyState = $studyState;
+  }
+  /**
+   * @return self::STUDY_STATE_*
+   */
+  public function getStudyState()
+  {
+    return $this->studyState;
+  }
+  /**
+   * A list of trials.
+   *
+   * @param GoogleCloudMlV1Trial[] $trials
+   */
+  public function setTrials($trials)
+  {
+    $this->trials = $trials;
+  }
+  /**
+   * @return GoogleCloudMlV1Trial[]
+   */
+  public function getTrials()
+  {
+    return $this->trials;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1SuggestTrialsResponse::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1SuggestTrialsResponse');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1TrainingInput.php

@@ -0,0 +1,819 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1TrainingInput extends \Google\Collection
+{
+  /**
+   * A single worker instance. This tier is suitable for learning how to use
+   * Cloud ML, and for experimenting with new models using small datasets.
+   */
+  public const SCALE_TIER_BASIC = 'BASIC';
+  /**
+   * Many workers and a few parameter servers.
+   */
+  public const SCALE_TIER_STANDARD_1 = 'STANDARD_1';
+  /**
+   * A large number of workers with many parameter servers.
+   */
+  public const SCALE_TIER_PREMIUM_1 = 'PREMIUM_1';
+  /**
+   * A single worker instance [with a GPU](/ai-platform/training/docs/using-
+   * gpus).
+   */
+  public const SCALE_TIER_BASIC_GPU = 'BASIC_GPU';
+  /**
+   * A single worker instance with a [Cloud TPU](/ml-
+   * engine/docs/tensorflow/using-tpus).
+   */
+  public const SCALE_TIER_BASIC_TPU = 'BASIC_TPU';
+  /**
+   * The CUSTOM tier is not a set tier, but rather enables you to use your own
+   * cluster specification. When you use this tier, set values to configure your
+   * processing cluster according to these guidelines: * You _must_ set
+   * `TrainingInput.masterType` to specify the type of machine to use for your
+   * master node. This is the only required setting. * You _may_ set
+   * `TrainingInput.workerCount` to specify the number of workers to use. If you
+   * specify one or more workers, you _must_ also set `TrainingInput.workerType`
+   * to specify the type of machine to use for your worker nodes. * You _may_
+   * set `TrainingInput.parameterServerCount` to specify the number of parameter
+   * servers to use. If you specify one or more parameter servers, you _must_
+   * also set `TrainingInput.parameterServerType` to specify the type of machine
+   * to use for your parameter servers. Note that all of your workers must use
+   * the same machine type, which can be different from your parameter server
+   * type and master type. Your parameter servers must likewise use the same
+   * machine type, which can be different from your worker type and master type.
+   */
+  public const SCALE_TIER_CUSTOM = 'CUSTOM';
+  protected $collection_key = 'packageUris';
+  /**
+   * Optional. Command-line arguments passed to the training application when it
+   * starts. If your job uses a custom container, then the arguments are passed
+   * to the container's `ENTRYPOINT` command.
+   *
+   * @var string[]
+   */
+  public $args;
+  /**
+   * Optional. Whether you want AI Platform Training to enable [interactive
+   * shell access](https://cloud.google.com/ai-platform/training/docs/monitor-
+   * debug-interactive-shell) to training containers. If set to `true`, you can
+   * access interactive shells at the URIs given by
+   * TrainingOutput.web_access_uris or HyperparameterOutput.web_access_uris
+   * (within TrainingOutput.trials).
+   *
+   * @var bool
+   */
+  public $enableWebAccess;
+  protected $encryptionConfigType = GoogleCloudMlV1EncryptionConfig::class;
+  protected $encryptionConfigDataType = '';
+  protected $evaluatorConfigType = GoogleCloudMlV1ReplicaConfig::class;
+  protected $evaluatorConfigDataType = '';
+  /**
+   * Optional. The number of evaluator replicas to use for the training job.
+   * Each replica in the cluster will be of the type specified in
+   * `evaluator_type`. This value can only be used when `scale_tier` is set to
+   * `CUSTOM`. If you set this value, you must also set `evaluator_type`. The
+   * default value is zero.
+   *
+   * @var string
+   */
+  public $evaluatorCount;
+  /**
+   * Optional. Specifies the type of virtual machine to use for your training
+   * job's evaluator nodes. The supported values are the same as those described
+   * in the entry for `masterType`. This value must be consistent with the
+   * category of machine type that `masterType` uses. In other words, both must
+   * be Compute Engine machine types or both must be legacy machine types. This
+   * value must be present when `scaleTier` is set to `CUSTOM` and
+   * `evaluatorCount` is greater than zero.
+   *
+   * @var string
+   */
+  public $evaluatorType;
+  protected $hyperparametersType = GoogleCloudMlV1HyperparameterSpec::class;
+  protected $hyperparametersDataType = '';
+  /**
+   * Optional. A Google Cloud Storage path in which to store training outputs
+   * and other data needed for training. This path is passed to your TensorFlow
+   * program as the '--job-dir' command-line argument. The benefit of specifying
+   * this field is that Cloud ML validates the path for use in training.
+   *
+   * @var string
+   */
+  public $jobDir;
+  protected $masterConfigType = GoogleCloudMlV1ReplicaConfig::class;
+  protected $masterConfigDataType = '';
+  /**
+   * Optional. Specifies the type of virtual machine to use for your training
+   * job's master worker. You must specify this field when `scaleTier` is set to
+   * `CUSTOM`. You can use certain Compute Engine machine types directly in this
+   * field. See the [list of compatible Compute Engine machine types](/ai-
+   * platform/training/docs/machine-types#compute-engine-machine-types).
+   * Alternatively, you can use the certain legacy machine types in this field.
+   * See the [list of legacy machine types](/ai-platform/training/docs/machine-
+   * types#legacy-machine-types). Finally, if you want to use a TPU for
+   * training, specify `cloud_tpu` in this field. Learn more about the [special
+   * configuration options for training with TPUs](/ai-
+   * platform/training/docs/using-tpus#configuring_a_custom_tpu_machine).
+   *
+   * @var string
+   */
+  public $masterType;
+  /**
+   * Optional. The full name of the [Compute Engine network](/vpc/docs/vpc) to
+   * which the Job is peered. For example,
+   * `projects/12345/global/networks/myVPC`. The format of this field is
+   * `projects/{project}/global/networks/{network}`, where {project} is a
+   * project number (like `12345`) and {network} is network name. Private
+   * services access must already be configured for the network. If left
+   * unspecified, the Job is not peered with any network. [Learn about using VPC
+   * Network Peering.](/ai-platform/training/docs/vpc-peering).
+   *
+   * @var string
+   */
+  public $network;
+  /**
+   * Required. The Google Cloud Storage location of the packages with the
+   * training program and any additional dependencies. The maximum number of
+   * package URIs is 100.
+   *
+   * @var string[]
+   */
+  public $packageUris;
+  protected $parameterServerConfigType = GoogleCloudMlV1ReplicaConfig::class;
+  protected $parameterServerConfigDataType = '';
+  /**
+   * Optional. The number of parameter server replicas to use for the training
+   * job. Each replica in the cluster will be of the type specified in
+   * `parameter_server_type`. This value can only be used when `scale_tier` is
+   * set to `CUSTOM`. If you set this value, you must also set
+   * `parameter_server_type`. The default value is zero.
+   *
+   * @var string
+   */
+  public $parameterServerCount;
+  /**
+   * Optional. Specifies the type of virtual machine to use for your training
+   * job's parameter server. The supported values are the same as those
+   * described in the entry for `master_type`. This value must be consistent
+   * with the category of machine type that `masterType` uses. In other words,
+   * both must be Compute Engine machine types or both must be legacy machine
+   * types. This value must be present when `scaleTier` is set to `CUSTOM` and
+   * `parameter_server_count` is greater than zero.
+   *
+   * @var string
+   */
+  public $parameterServerType;
+  /**
+   * Required. The Python module name to run after installing the packages.
+   *
+   * @var string
+   */
+  public $pythonModule;
+  /**
+   * Optional. The version of Python used in training. You must either specify
+   * this field or specify `masterConfig.imageUri`. The following Python
+   * versions are available: * Python '3.7' is available when `runtime_version`
+   * is set to '1.15' or later. * Python '3.5' is available when
+   * `runtime_version` is set to a version from '1.4' to '1.14'. * Python '2.7'
+   * is available when `runtime_version` is set to '1.15' or earlier. Read more
+   * about the Python versions available for [each runtime version](/ml-
+   * engine/docs/runtime-version-list).
+   *
+   * @var string
+   */
+  public $pythonVersion;
+  /**
+   * Required. The region to run the training job in. See the [available
+   * regions](/ai-platform/training/docs/regions) for AI Platform Training.
+   *
+   * @var string
+   */
+  public $region;
+  /**
+   * Optional. The AI Platform runtime version to use for training. You must
+   * either specify this field or specify `masterConfig.imageUri`. For more
+   * information, see the [runtime version list](/ai-
+   * platform/training/docs/runtime-version-list) and learn [how to manage
+   * runtime versions](/ai-platform/training/docs/versioning).
+   *
+   * @var string
+   */
+  public $runtimeVersion;
+  /**
+   * Required. Specifies the machine types, the number of replicas for workers
+   * and parameter servers.
+   *
+   * @var string
+   */
+  public $scaleTier;
+  protected $schedulingType = GoogleCloudMlV1Scheduling::class;
+  protected $schedulingDataType = '';
+  /**
+   * Optional. The email address of a service account to use when running the
+   * training appplication. You must have the `iam.serviceAccounts.actAs`
+   * permission for the specified service account. In addition, the AI Platform
+   * Training Google-managed service account must have the
+   * `roles/iam.serviceAccountAdmin` role for the specified service account.
+   * [Learn more about configuring a service account.](/ai-
+   * platform/training/docs/custom-service-account) If not specified, the AI
+   * Platform Training Google-managed service account is used by default.
+   *
+   * @var string
+   */
+  public $serviceAccount;
+  /**
+   * Optional. Use `chief` instead of `master` in the `TF_CONFIG` environment
+   * variable when training with a custom container. Defaults to `false`. [Learn
+   * more about this field.](/ai-platform/training/docs/distributed-training-
+   * details#chief-versus-master) This field has no effect for training jobs
+   * that don't use a custom container.
+   *
+   * @var bool
+   */
+  public $useChiefInTfConfig;
+  protected $workerConfigType = GoogleCloudMlV1ReplicaConfig::class;
+  protected $workerConfigDataType = '';
+  /**
+   * Optional. The number of worker replicas to use for the training job. Each
+   * replica in the cluster will be of the type specified in `worker_type`. This
+   * value can only be used when `scale_tier` is set to `CUSTOM`. If you set
+   * this value, you must also set `worker_type`. The default value is zero.
+   *
+   * @var string
+   */
+  public $workerCount;
+  /**
+   * Optional. Specifies the type of virtual machine to use for your training
+   * job's worker nodes. The supported values are the same as those described in
+   * the entry for `masterType`. This value must be consistent with the category
+   * of machine type that `masterType` uses. In other words, both must be
+   * Compute Engine machine types or both must be legacy machine types. If you
+   * use `cloud_tpu` for this value, see special instructions for [configuring a
+   * custom TPU machine](/ml-engine/docs/tensorflow/using-
+   * tpus#configuring_a_custom_tpu_machine). This value must be present when
+   * `scaleTier` is set to `CUSTOM` and `workerCount` is greater than zero.
+   *
+   * @var string
+   */
+  public $workerType;
+
+  /**
+   * Optional. Command-line arguments passed to the training application when it
+   * starts. If your job uses a custom container, then the arguments are passed
+   * to the container's `ENTRYPOINT` command.
+   *
+   * @param string[] $args
+   */
+  public function setArgs($args)
+  {
+    $this->args = $args;
+  }
+  /**
+   * @return string[]
+   */
+  public function getArgs()
+  {
+    return $this->args;
+  }
+  /**
+   * Optional. Whether you want AI Platform Training to enable [interactive
+   * shell access](https://cloud.google.com/ai-platform/training/docs/monitor-
+   * debug-interactive-shell) to training containers. If set to `true`, you can
+   * access interactive shells at the URIs given by
+   * TrainingOutput.web_access_uris or HyperparameterOutput.web_access_uris
+   * (within TrainingOutput.trials).
+   *
+   * @param bool $enableWebAccess
+   */
+  public function setEnableWebAccess($enableWebAccess)
+  {
+    $this->enableWebAccess = $enableWebAccess;
+  }
+  /**
+   * @return bool
+   */
+  public function getEnableWebAccess()
+  {
+    return $this->enableWebAccess;
+  }
+  /**
+   * Optional. Options for using customer-managed encryption keys (CMEK) to
+   * protect resources created by a training job, instead of using Google's
+   * default encryption. If this is set, then all resources created by the
+   * training job will be encrypted with the customer-managed encryption key
+   * that you specify. [Learn how and when to use CMEK with AI Platform
+   * Training](/ai-platform/training/docs/cmek).
+   *
+   * @param GoogleCloudMlV1EncryptionConfig $encryptionConfig
+   */
+  public function setEncryptionConfig(GoogleCloudMlV1EncryptionConfig $encryptionConfig)
+  {
+    $this->encryptionConfig = $encryptionConfig;
+  }
+  /**
+   * @return GoogleCloudMlV1EncryptionConfig
+   */
+  public function getEncryptionConfig()
+  {
+    return $this->encryptionConfig;
+  }
+  /**
+   * Optional. The configuration for evaluators. You should only set
+   * `evaluatorConfig.acceleratorConfig` if `evaluatorType` is set to a Compute
+   * Engine machine type. [Learn about restrictions on accelerator
+   * configurations for training.](/ai-platform/training/docs/using-
+   * gpus#compute-engine-machine-types-with-gpu) Set `evaluatorConfig.imageUri`
+   * only if you build a custom image for your evaluator. If
+   * `evaluatorConfig.imageUri` has not been set, AI Platform uses the value of
+   * `masterConfig.imageUri`. Learn more about [configuring custom
+   * containers](/ai-platform/training/docs/distributed-training-containers).
+   *
+   * @param GoogleCloudMlV1ReplicaConfig $evaluatorConfig
+   */
+  public function setEvaluatorConfig(GoogleCloudMlV1ReplicaConfig $evaluatorConfig)
+  {
+    $this->evaluatorConfig = $evaluatorConfig;
+  }
+  /**
+   * @return GoogleCloudMlV1ReplicaConfig
+   */
+  public function getEvaluatorConfig()
+  {
+    return $this->evaluatorConfig;
+  }
+  /**
+   * Optional. The number of evaluator replicas to use for the training job.
+   * Each replica in the cluster will be of the type specified in
+   * `evaluator_type`. This value can only be used when `scale_tier` is set to
+   * `CUSTOM`. If you set this value, you must also set `evaluator_type`. The
+   * default value is zero.
+   *
+   * @param string $evaluatorCount
+   */
+  public function setEvaluatorCount($evaluatorCount)
+  {
+    $this->evaluatorCount = $evaluatorCount;
+  }
+  /**
+   * @return string
+   */
+  public function getEvaluatorCount()
+  {
+    return $this->evaluatorCount;
+  }
+  /**
+   * Optional. Specifies the type of virtual machine to use for your training
+   * job's evaluator nodes. The supported values are the same as those described
+   * in the entry for `masterType`. This value must be consistent with the
+   * category of machine type that `masterType` uses. In other words, both must
+   * be Compute Engine machine types or both must be legacy machine types. This
+   * value must be present when `scaleTier` is set to `CUSTOM` and
+   * `evaluatorCount` is greater than zero.
+   *
+   * @param string $evaluatorType
+   */
+  public function setEvaluatorType($evaluatorType)
+  {
+    $this->evaluatorType = $evaluatorType;
+  }
+  /**
+   * @return string
+   */
+  public function getEvaluatorType()
+  {
+    return $this->evaluatorType;
+  }
+  /**
+   * Optional. The set of Hyperparameters to tune.
+   *
+   * @param GoogleCloudMlV1HyperparameterSpec $hyperparameters
+   */
+  public function setHyperparameters(GoogleCloudMlV1HyperparameterSpec $hyperparameters)
+  {
+    $this->hyperparameters = $hyperparameters;
+  }
+  /**
+   * @return GoogleCloudMlV1HyperparameterSpec
+   */
+  public function getHyperparameters()
+  {
+    return $this->hyperparameters;
+  }
+  /**
+   * Optional. A Google Cloud Storage path in which to store training outputs
+   * and other data needed for training. This path is passed to your TensorFlow
+   * program as the '--job-dir' command-line argument. The benefit of specifying
+   * this field is that Cloud ML validates the path for use in training.
+   *
+   * @param string $jobDir
+   */
+  public function setJobDir($jobDir)
+  {
+    $this->jobDir = $jobDir;
+  }
+  /**
+   * @return string
+   */
+  public function getJobDir()
+  {
+    return $this->jobDir;
+  }
+  /**
+   * Optional. The configuration for your master worker. You should only set
+   * `masterConfig.acceleratorConfig` if `masterType` is set to a Compute Engine
+   * machine type. Learn about [restrictions on accelerator configurations for
+   * training.](/ai-platform/training/docs/using-gpus#compute-engine-machine-
+   * types-with-gpu) Set `masterConfig.imageUri` only if you build a custom
+   * image. Only one of `masterConfig.imageUri` and `runtimeVersion` should be
+   * set. Learn more about [configuring custom containers](/ai-
+   * platform/training/docs/distributed-training-containers).
+   *
+   * @param GoogleCloudMlV1ReplicaConfig $masterConfig
+   */
+  public function setMasterConfig(GoogleCloudMlV1ReplicaConfig $masterConfig)
+  {
+    $this->masterConfig = $masterConfig;
+  }
+  /**
+   * @return GoogleCloudMlV1ReplicaConfig
+   */
+  public function getMasterConfig()
+  {
+    return $this->masterConfig;
+  }
+  /**
+   * Optional. Specifies the type of virtual machine to use for your training
+   * job's master worker. You must specify this field when `scaleTier` is set to
+   * `CUSTOM`. You can use certain Compute Engine machine types directly in this
+   * field. See the [list of compatible Compute Engine machine types](/ai-
+   * platform/training/docs/machine-types#compute-engine-machine-types).
+   * Alternatively, you can use the certain legacy machine types in this field.
+   * See the [list of legacy machine types](/ai-platform/training/docs/machine-
+   * types#legacy-machine-types). Finally, if you want to use a TPU for
+   * training, specify `cloud_tpu` in this field. Learn more about the [special
+   * configuration options for training with TPUs](/ai-
+   * platform/training/docs/using-tpus#configuring_a_custom_tpu_machine).
+   *
+   * @param string $masterType
+   */
+  public function setMasterType($masterType)
+  {
+    $this->masterType = $masterType;
+  }
+  /**
+   * @return string
+   */
+  public function getMasterType()
+  {
+    return $this->masterType;
+  }
+  /**
+   * Optional. The full name of the [Compute Engine network](/vpc/docs/vpc) to
+   * which the Job is peered. For example,
+   * `projects/12345/global/networks/myVPC`. The format of this field is
+   * `projects/{project}/global/networks/{network}`, where {project} is a
+   * project number (like `12345`) and {network} is network name. Private
+   * services access must already be configured for the network. If left
+   * unspecified, the Job is not peered with any network. [Learn about using VPC
+   * Network Peering.](/ai-platform/training/docs/vpc-peering).
+   *
+   * @param string $network
+   */
+  public function setNetwork($network)
+  {
+    $this->network = $network;
+  }
+  /**
+   * @return string
+   */
+  public function getNetwork()
+  {
+    return $this->network;
+  }
+  /**
+   * Required. The Google Cloud Storage location of the packages with the
+   * training program and any additional dependencies. The maximum number of
+   * package URIs is 100.
+   *
+   * @param string[] $packageUris
+   */
+  public function setPackageUris($packageUris)
+  {
+    $this->packageUris = $packageUris;
+  }
+  /**
+   * @return string[]
+   */
+  public function getPackageUris()
+  {
+    return $this->packageUris;
+  }
+  /**
+   * Optional. The configuration for parameter servers. You should only set
+   * `parameterServerConfig.acceleratorConfig` if `parameterServerType` is set
+   * to a Compute Engine machine type. [Learn about restrictions on accelerator
+   * configurations for training.](/ai-platform/training/docs/using-
+   * gpus#compute-engine-machine-types-with-gpu) Set
+   * `parameterServerConfig.imageUri` only if you build a custom image for your
+   * parameter server. If `parameterServerConfig.imageUri` has not been set, AI
+   * Platform uses the value of `masterConfig.imageUri`. Learn more about
+   * [configuring custom containers](/ai-platform/training/docs/distributed-
+   * training-containers).
+   *
+   * @param GoogleCloudMlV1ReplicaConfig $parameterServerConfig
+   */
+  public function setParameterServerConfig(GoogleCloudMlV1ReplicaConfig $parameterServerConfig)
+  {
+    $this->parameterServerConfig = $parameterServerConfig;
+  }
+  /**
+   * @return GoogleCloudMlV1ReplicaConfig
+   */
+  public function getParameterServerConfig()
+  {
+    return $this->parameterServerConfig;
+  }
+  /**
+   * Optional. The number of parameter server replicas to use for the training
+   * job. Each replica in the cluster will be of the type specified in
+   * `parameter_server_type`. This value can only be used when `scale_tier` is
+   * set to `CUSTOM`. If you set this value, you must also set
+   * `parameter_server_type`. The default value is zero.
+   *
+   * @param string $parameterServerCount
+   */
+  public function setParameterServerCount($parameterServerCount)
+  {
+    $this->parameterServerCount = $parameterServerCount;
+  }
+  /**
+   * @return string
+   */
+  public function getParameterServerCount()
+  {
+    return $this->parameterServerCount;
+  }
+  /**
+   * Optional. Specifies the type of virtual machine to use for your training
+   * job's parameter server. The supported values are the same as those
+   * described in the entry for `master_type`. This value must be consistent
+   * with the category of machine type that `masterType` uses. In other words,
+   * both must be Compute Engine machine types or both must be legacy machine
+   * types. This value must be present when `scaleTier` is set to `CUSTOM` and
+   * `parameter_server_count` is greater than zero.
+   *
+   * @param string $parameterServerType
+   */
+  public function setParameterServerType($parameterServerType)
+  {
+    $this->parameterServerType = $parameterServerType;
+  }
+  /**
+   * @return string
+   */
+  public function getParameterServerType()
+  {
+    return $this->parameterServerType;
+  }
+  /**
+   * Required. The Python module name to run after installing the packages.
+   *
+   * @param string $pythonModule
+   */
+  public function setPythonModule($pythonModule)
+  {
+    $this->pythonModule = $pythonModule;
+  }
+  /**
+   * @return string
+   */
+  public function getPythonModule()
+  {
+    return $this->pythonModule;
+  }
+  /**
+   * Optional. The version of Python used in training. You must either specify
+   * this field or specify `masterConfig.imageUri`. The following Python
+   * versions are available: * Python '3.7' is available when `runtime_version`
+   * is set to '1.15' or later. * Python '3.5' is available when
+   * `runtime_version` is set to a version from '1.4' to '1.14'. * Python '2.7'
+   * is available when `runtime_version` is set to '1.15' or earlier. Read more
+   * about the Python versions available for [each runtime version](/ml-
+   * engine/docs/runtime-version-list).
+   *
+   * @param string $pythonVersion
+   */
+  public function setPythonVersion($pythonVersion)
+  {
+    $this->pythonVersion = $pythonVersion;
+  }
+  /**
+   * @return string
+   */
+  public function getPythonVersion()
+  {
+    return $this->pythonVersion;
+  }
+  /**
+   * Required. The region to run the training job in. See the [available
+   * regions](/ai-platform/training/docs/regions) for AI Platform Training.
+   *
+   * @param string $region
+   */
+  public function setRegion($region)
+  {
+    $this->region = $region;
+  }
+  /**
+   * @return string
+   */
+  public function getRegion()
+  {
+    return $this->region;
+  }
+  /**
+   * Optional. The AI Platform runtime version to use for training. You must
+   * either specify this field or specify `masterConfig.imageUri`. For more
+   * information, see the [runtime version list](/ai-
+   * platform/training/docs/runtime-version-list) and learn [how to manage
+   * runtime versions](/ai-platform/training/docs/versioning).
+   *
+   * @param string $runtimeVersion
+   */
+  public function setRuntimeVersion($runtimeVersion)
+  {
+    $this->runtimeVersion = $runtimeVersion;
+  }
+  /**
+   * @return string
+   */
+  public function getRuntimeVersion()
+  {
+    return $this->runtimeVersion;
+  }
+  /**
+   * Required. Specifies the machine types, the number of replicas for workers
+   * and parameter servers.
+   *
+   * Accepted values: BASIC, STANDARD_1, PREMIUM_1, BASIC_GPU, BASIC_TPU, CUSTOM
+   *
+   * @param self::SCALE_TIER_* $scaleTier
+   */
+  public function setScaleTier($scaleTier)
+  {
+    $this->scaleTier = $scaleTier;
+  }
+  /**
+   * @return self::SCALE_TIER_*
+   */
+  public function getScaleTier()
+  {
+    return $this->scaleTier;
+  }
+  /**
+   * Optional. Scheduling options for a training job.
+   *
+   * @param GoogleCloudMlV1Scheduling $scheduling
+   */
+  public function setScheduling(GoogleCloudMlV1Scheduling $scheduling)
+  {
+    $this->scheduling = $scheduling;
+  }
+  /**
+   * @return GoogleCloudMlV1Scheduling
+   */
+  public function getScheduling()
+  {
+    return $this->scheduling;
+  }
+  /**
+   * Optional. The email address of a service account to use when running the
+   * training appplication. You must have the `iam.serviceAccounts.actAs`
+   * permission for the specified service account. In addition, the AI Platform
+   * Training Google-managed service account must have the
+   * `roles/iam.serviceAccountAdmin` role for the specified service account.
+   * [Learn more about configuring a service account.](/ai-
+   * platform/training/docs/custom-service-account) If not specified, the AI
+   * Platform Training Google-managed service account is used by default.
+   *
+   * @param string $serviceAccount
+   */
+  public function setServiceAccount($serviceAccount)
+  {
+    $this->serviceAccount = $serviceAccount;
+  }
+  /**
+   * @return string
+   */
+  public function getServiceAccount()
+  {
+    return $this->serviceAccount;
+  }
+  /**
+   * Optional. Use `chief` instead of `master` in the `TF_CONFIG` environment
+   * variable when training with a custom container. Defaults to `false`. [Learn
+   * more about this field.](/ai-platform/training/docs/distributed-training-
+   * details#chief-versus-master) This field has no effect for training jobs
+   * that don't use a custom container.
+   *
+   * @param bool $useChiefInTfConfig
+   */
+  public function setUseChiefInTfConfig($useChiefInTfConfig)
+  {
+    $this->useChiefInTfConfig = $useChiefInTfConfig;
+  }
+  /**
+   * @return bool
+   */
+  public function getUseChiefInTfConfig()
+  {
+    return $this->useChiefInTfConfig;
+  }
+  /**
+   * Optional. The configuration for workers. You should only set
+   * `workerConfig.acceleratorConfig` if `workerType` is set to a Compute Engine
+   * machine type. [Learn about restrictions on accelerator configurations for
+   * training.](/ai-platform/training/docs/using-gpus#compute-engine-machine-
+   * types-with-gpu) Set `workerConfig.imageUri` only if you build a custom
+   * image for your worker. If `workerConfig.imageUri` has not been set, AI
+   * Platform uses the value of `masterConfig.imageUri`. Learn more about
+   * [configuring custom containers](/ai-platform/training/docs/distributed-
+   * training-containers).
+   *
+   * @param GoogleCloudMlV1ReplicaConfig $workerConfig
+   */
+  public function setWorkerConfig(GoogleCloudMlV1ReplicaConfig $workerConfig)
+  {
+    $this->workerConfig = $workerConfig;
+  }
+  /**
+   * @return GoogleCloudMlV1ReplicaConfig
+   */
+  public function getWorkerConfig()
+  {
+    return $this->workerConfig;
+  }
+  /**
+   * Optional. The number of worker replicas to use for the training job. Each
+   * replica in the cluster will be of the type specified in `worker_type`. This
+   * value can only be used when `scale_tier` is set to `CUSTOM`. If you set
+   * this value, you must also set `worker_type`. The default value is zero.
+   *
+   * @param string $workerCount
+   */
+  public function setWorkerCount($workerCount)
+  {
+    $this->workerCount = $workerCount;
+  }
+  /**
+   * @return string
+   */
+  public function getWorkerCount()
+  {
+    return $this->workerCount;
+  }
+  /**
+   * Optional. Specifies the type of virtual machine to use for your training
+   * job's worker nodes. The supported values are the same as those described in
+   * the entry for `masterType`. This value must be consistent with the category
+   * of machine type that `masterType` uses. In other words, both must be
+   * Compute Engine machine types or both must be legacy machine types. If you
+   * use `cloud_tpu` for this value, see special instructions for [configuring a
+   * custom TPU machine](/ml-engine/docs/tensorflow/using-
+   * tpus#configuring_a_custom_tpu_machine). This value must be present when
+   * `scaleTier` is set to `CUSTOM` and `workerCount` is greater than zero.
+   *
+   * @param string $workerType
+   */
+  public function setWorkerType($workerType)
+  {
+    $this->workerType = $workerType;
+  }
+  /**
+   * @return string
+   */
+  public function getWorkerType()
+  {
+    return $this->workerType;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1TrainingInput::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1TrainingInput');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1TrainingOutput.php

@@ -0,0 +1,211 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1TrainingOutput extends \Google\Collection
+{
+  protected $collection_key = 'trials';
+  protected $builtInAlgorithmOutputType = GoogleCloudMlV1BuiltInAlgorithmOutput::class;
+  protected $builtInAlgorithmOutputDataType = '';
+  /**
+   * The number of hyperparameter tuning trials that completed successfully.
+   * Only set for hyperparameter tuning jobs.
+   *
+   * @var string
+   */
+  public $completedTrialCount;
+  /**
+   * The amount of ML units consumed by the job.
+   *
+   * @var 
+   */
+  public $consumedMLUnits;
+  /**
+   * The TensorFlow summary tag name used for optimizing hyperparameter tuning
+   * trials. See [`HyperparameterSpec.hyperparameterMetricTag`](#HyperparameterS
+   * pec.FIELDS.hyperparameter_metric_tag) for more information. Only set for
+   * hyperparameter tuning jobs.
+   *
+   * @var string
+   */
+  public $hyperparameterMetricTag;
+  /**
+   * Whether this job is a built-in Algorithm job.
+   *
+   * @var bool
+   */
+  public $isBuiltInAlgorithmJob;
+  /**
+   * Whether this job is a hyperparameter tuning job.
+   *
+   * @var bool
+   */
+  public $isHyperparameterTuningJob;
+  protected $trialsType = GoogleCloudMlV1HyperparameterOutput::class;
+  protected $trialsDataType = 'array';
+  /**
+   * Output only. URIs for accessing [interactive
+   * shells](https://cloud.google.com/ai-platform/training/docs/monitor-debug-
+   * interactive-shell) (one URI for each training node). Only available if
+   * training_input.enable_web_access is `true`. The keys are names of each node
+   * in the training job; for example, `master-replica-0` for the master node,
+   * `worker-replica-0` for the first worker, and `ps-replica-0` for the first
+   * parameter server. The values are the URIs for each node's interactive
+   * shell.
+   *
+   * @var string[]
+   */
+  public $webAccessUris;
+
+  /**
+   * Details related to built-in algorithms jobs. Only set for built-in
+   * algorithms jobs.
+   *
+   * @param GoogleCloudMlV1BuiltInAlgorithmOutput $builtInAlgorithmOutput
+   */
+  public function setBuiltInAlgorithmOutput(GoogleCloudMlV1BuiltInAlgorithmOutput $builtInAlgorithmOutput)
+  {
+    $this->builtInAlgorithmOutput = $builtInAlgorithmOutput;
+  }
+  /**
+   * @return GoogleCloudMlV1BuiltInAlgorithmOutput
+   */
+  public function getBuiltInAlgorithmOutput()
+  {
+    return $this->builtInAlgorithmOutput;
+  }
+  /**
+   * The number of hyperparameter tuning trials that completed successfully.
+   * Only set for hyperparameter tuning jobs.
+   *
+   * @param string $completedTrialCount
+   */
+  public function setCompletedTrialCount($completedTrialCount)
+  {
+    $this->completedTrialCount = $completedTrialCount;
+  }
+  /**
+   * @return string
+   */
+  public function getCompletedTrialCount()
+  {
+    return $this->completedTrialCount;
+  }
+  public function setConsumedMLUnits($consumedMLUnits)
+  {
+    $this->consumedMLUnits = $consumedMLUnits;
+  }
+  public function getConsumedMLUnits()
+  {
+    return $this->consumedMLUnits;
+  }
+  /**
+   * The TensorFlow summary tag name used for optimizing hyperparameter tuning
+   * trials. See [`HyperparameterSpec.hyperparameterMetricTag`](#HyperparameterS
+   * pec.FIELDS.hyperparameter_metric_tag) for more information. Only set for
+   * hyperparameter tuning jobs.
+   *
+   * @param string $hyperparameterMetricTag
+   */
+  public function setHyperparameterMetricTag($hyperparameterMetricTag)
+  {
+    $this->hyperparameterMetricTag = $hyperparameterMetricTag;
+  }
+  /**
+   * @return string
+   */
+  public function getHyperparameterMetricTag()
+  {
+    return $this->hyperparameterMetricTag;
+  }
+  /**
+   * Whether this job is a built-in Algorithm job.
+   *
+   * @param bool $isBuiltInAlgorithmJob
+   */
+  public function setIsBuiltInAlgorithmJob($isBuiltInAlgorithmJob)
+  {
+    $this->isBuiltInAlgorithmJob = $isBuiltInAlgorithmJob;
+  }
+  /**
+   * @return bool
+   */
+  public function getIsBuiltInAlgorithmJob()
+  {
+    return $this->isBuiltInAlgorithmJob;
+  }
+  /**
+   * Whether this job is a hyperparameter tuning job.
+   *
+   * @param bool $isHyperparameterTuningJob
+   */
+  public function setIsHyperparameterTuningJob($isHyperparameterTuningJob)
+  {
+    $this->isHyperparameterTuningJob = $isHyperparameterTuningJob;
+  }
+  /**
+   * @return bool
+   */
+  public function getIsHyperparameterTuningJob()
+  {
+    return $this->isHyperparameterTuningJob;
+  }
+  /**
+   * Results for individual Hyperparameter trials. Only set for hyperparameter
+   * tuning jobs.
+   *
+   * @param GoogleCloudMlV1HyperparameterOutput[] $trials
+   */
+  public function setTrials($trials)
+  {
+    $this->trials = $trials;
+  }
+  /**
+   * @return GoogleCloudMlV1HyperparameterOutput[]
+   */
+  public function getTrials()
+  {
+    return $this->trials;
+  }
+  /**
+   * Output only. URIs for accessing [interactive
+   * shells](https://cloud.google.com/ai-platform/training/docs/monitor-debug-
+   * interactive-shell) (one URI for each training node). Only available if
+   * training_input.enable_web_access is `true`. The keys are names of each node
+   * in the training job; for example, `master-replica-0` for the master node,
+   * `worker-replica-0` for the first worker, and `ps-replica-0` for the first
+   * parameter server. The values are the URIs for each node's interactive
+   * shell.
+   *
+   * @param string[] $webAccessUris
+   */
+  public function setWebAccessUris($webAccessUris)
+  {
+    $this->webAccessUris = $webAccessUris;
+  }
+  /**
+   * @return string[]
+   */
+  public function getWebAccessUris()
+  {
+    return $this->webAccessUris;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1TrainingOutput::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1TrainingOutput');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1Trial.php

@@ -0,0 +1,265 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1Trial extends \Google\Collection
+{
+  /**
+   * The trial state is unspecified.
+   */
+  public const STATE_STATE_UNSPECIFIED = 'STATE_UNSPECIFIED';
+  /**
+   * Indicates that a specific trial has been requested, but it has not yet been
+   * suggested by the service.
+   */
+  public const STATE_REQUESTED = 'REQUESTED';
+  /**
+   * Indicates that the trial has been suggested.
+   */
+  public const STATE_ACTIVE = 'ACTIVE';
+  /**
+   * Indicates that the trial is done, and either has a final_measurement set,
+   * or is marked as trial_infeasible.
+   */
+  public const STATE_COMPLETED = 'COMPLETED';
+  /**
+   * Indicates that the trial should stop according to the service.
+   */
+  public const STATE_STOPPING = 'STOPPING';
+  protected $collection_key = 'parameters';
+  /**
+   * Output only. The identifier of the client that originally requested this
+   * trial.
+   *
+   * @var string
+   */
+  public $clientId;
+  /**
+   * Output only. Time at which the trial's status changed to COMPLETED.
+   *
+   * @var string
+   */
+  public $endTime;
+  protected $finalMeasurementType = GoogleCloudMlV1Measurement::class;
+  protected $finalMeasurementDataType = '';
+  /**
+   * Output only. A human readable string describing why the trial is
+   * infeasible. This should only be set if trial_infeasible is true.
+   *
+   * @var string
+   */
+  public $infeasibleReason;
+  protected $measurementsType = GoogleCloudMlV1Measurement::class;
+  protected $measurementsDataType = 'array';
+  /**
+   * Output only. Name of the trial assigned by the service.
+   *
+   * @var string
+   */
+  public $name;
+  protected $parametersType = GoogleCloudMlV1TrialParameter::class;
+  protected $parametersDataType = 'array';
+  /**
+   * Output only. Time at which the trial was started.
+   *
+   * @var string
+   */
+  public $startTime;
+  /**
+   * The detailed state of a trial.
+   *
+   * @var string
+   */
+  public $state;
+  /**
+   * Output only. If true, the parameters in this trial are not attempted again.
+   *
+   * @var bool
+   */
+  public $trialInfeasible;
+
+  /**
+   * Output only. The identifier of the client that originally requested this
+   * trial.
+   *
+   * @param string $clientId
+   */
+  public function setClientId($clientId)
+  {
+    $this->clientId = $clientId;
+  }
+  /**
+   * @return string
+   */
+  public function getClientId()
+  {
+    return $this->clientId;
+  }
+  /**
+   * Output only. Time at which the trial's status changed to COMPLETED.
+   *
+   * @param string $endTime
+   */
+  public function setEndTime($endTime)
+  {
+    $this->endTime = $endTime;
+  }
+  /**
+   * @return string
+   */
+  public function getEndTime()
+  {
+    return $this->endTime;
+  }
+  /**
+   * The final measurement containing the objective value.
+   *
+   * @param GoogleCloudMlV1Measurement $finalMeasurement
+   */
+  public function setFinalMeasurement(GoogleCloudMlV1Measurement $finalMeasurement)
+  {
+    $this->finalMeasurement = $finalMeasurement;
+  }
+  /**
+   * @return GoogleCloudMlV1Measurement
+   */
+  public function getFinalMeasurement()
+  {
+    return $this->finalMeasurement;
+  }
+  /**
+   * Output only. A human readable string describing why the trial is
+   * infeasible. This should only be set if trial_infeasible is true.
+   *
+   * @param string $infeasibleReason
+   */
+  public function setInfeasibleReason($infeasibleReason)
+  {
+    $this->infeasibleReason = $infeasibleReason;
+  }
+  /**
+   * @return string
+   */
+  public function getInfeasibleReason()
+  {
+    return $this->infeasibleReason;
+  }
+  /**
+   * A list of measurements that are strictly lexicographically ordered by their
+   * induced tuples (steps, elapsed_time). These are used for early stopping
+   * computations.
+   *
+   * @param GoogleCloudMlV1Measurement[] $measurements
+   */
+  public function setMeasurements($measurements)
+  {
+    $this->measurements = $measurements;
+  }
+  /**
+   * @return GoogleCloudMlV1Measurement[]
+   */
+  public function getMeasurements()
+  {
+    return $this->measurements;
+  }
+  /**
+   * Output only. Name of the trial assigned by the service.
+   *
+   * @param string $name
+   */
+  public function setName($name)
+  {
+    $this->name = $name;
+  }
+  /**
+   * @return string
+   */
+  public function getName()
+  {
+    return $this->name;
+  }
+  /**
+   * The parameters of the trial.
+   *
+   * @param GoogleCloudMlV1TrialParameter[] $parameters
+   */
+  public function setParameters($parameters)
+  {
+    $this->parameters = $parameters;
+  }
+  /**
+   * @return GoogleCloudMlV1TrialParameter[]
+   */
+  public function getParameters()
+  {
+    return $this->parameters;
+  }
+  /**
+   * Output only. Time at which the trial was started.
+   *
+   * @param string $startTime
+   */
+  public function setStartTime($startTime)
+  {
+    $this->startTime = $startTime;
+  }
+  /**
+   * @return string
+   */
+  public function getStartTime()
+  {
+    return $this->startTime;
+  }
+  /**
+   * The detailed state of a trial.
+   *
+   * Accepted values: STATE_UNSPECIFIED, REQUESTED, ACTIVE, COMPLETED, STOPPING
+   *
+   * @param self::STATE_* $state
+   */
+  public function setState($state)
+  {
+    $this->state = $state;
+  }
+  /**
+   * @return self::STATE_*
+   */
+  public function getState()
+  {
+    return $this->state;
+  }
+  /**
+   * Output only. If true, the parameters in this trial are not attempted again.
+   *
+   * @param bool $trialInfeasible
+   */
+  public function setTrialInfeasible($trialInfeasible)
+  {
+    $this->trialInfeasible = $trialInfeasible;
+  }
+  /**
+   * @return bool
+   */
+  public function getTrialInfeasible()
+  {
+    return $this->trialInfeasible;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1Trial::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1Trial');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1TrialParameter.php

@@ -0,0 +1,106 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1TrialParameter extends \Google\Model
+{
+  /**
+   * Must be set if ParameterType is DOUBLE or DISCRETE.
+   *
+   * @var 
+   */
+  public $floatValue;
+  /**
+   * Must be set if ParameterType is INTEGER
+   *
+   * @var string
+   */
+  public $intValue;
+  /**
+   * The name of the parameter.
+   *
+   * @var string
+   */
+  public $parameter;
+  /**
+   * Must be set if ParameterTypeis CATEGORICAL
+   *
+   * @var string
+   */
+  public $stringValue;
+
+  public function setFloatValue($floatValue)
+  {
+    $this->floatValue = $floatValue;
+  }
+  public function getFloatValue()
+  {
+    return $this->floatValue;
+  }
+  /**
+   * Must be set if ParameterType is INTEGER
+   *
+   * @param string $intValue
+   */
+  public function setIntValue($intValue)
+  {
+    $this->intValue = $intValue;
+  }
+  /**
+   * @return string
+   */
+  public function getIntValue()
+  {
+    return $this->intValue;
+  }
+  /**
+   * The name of the parameter.
+   *
+   * @param string $parameter
+   */
+  public function setParameter($parameter)
+  {
+    $this->parameter = $parameter;
+  }
+  /**
+   * @return string
+   */
+  public function getParameter()
+  {
+    return $this->parameter;
+  }
+  /**
+   * Must be set if ParameterTypeis CATEGORICAL
+   *
+   * @param string $stringValue
+   */
+  public function setStringValue($stringValue)
+  {
+    $this->stringValue = $stringValue;
+  }
+  /**
+   * @return string
+   */
+  public function getStringValue()
+  {
+    return $this->stringValue;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1TrialParameter::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1TrialParameter');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1Version.php

@@ -0,0 +1,827 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1Version extends \Google\Collection
+{
+  /**
+   * Unspecified framework. Assigns a value based on the file suffix.
+   */
+  public const FRAMEWORK_FRAMEWORK_UNSPECIFIED = 'FRAMEWORK_UNSPECIFIED';
+  /**
+   * Tensorflow framework.
+   */
+  public const FRAMEWORK_TENSORFLOW = 'TENSORFLOW';
+  /**
+   * Scikit-learn framework.
+   */
+  public const FRAMEWORK_SCIKIT_LEARN = 'SCIKIT_LEARN';
+  /**
+   * XGBoost framework.
+   */
+  public const FRAMEWORK_XGBOOST = 'XGBOOST';
+  /**
+   * The version state is unspecified.
+   */
+  public const STATE_UNKNOWN = 'UNKNOWN';
+  /**
+   * The version is ready for prediction.
+   */
+  public const STATE_READY = 'READY';
+  /**
+   * The version is being created. New UpdateVersion and DeleteVersion requests
+   * will fail if a version is in the CREATING state.
+   */
+  public const STATE_CREATING = 'CREATING';
+  /**
+   * The version failed to be created, possibly cancelled. `error_message`
+   * should contain the details of the failure.
+   */
+  public const STATE_FAILED = 'FAILED';
+  /**
+   * The version is being deleted. New UpdateVersion and DeleteVersion requests
+   * will fail if a version is in the DELETING state.
+   */
+  public const STATE_DELETING = 'DELETING';
+  /**
+   * The version is being updated. New UpdateVersion and DeleteVersion requests
+   * will fail if a version is in the UPDATING state.
+   */
+  public const STATE_UPDATING = 'UPDATING';
+  protected $collection_key = 'packageUris';
+  protected $acceleratorConfigType = GoogleCloudMlV1AcceleratorConfig::class;
+  protected $acceleratorConfigDataType = '';
+  protected $autoScalingType = GoogleCloudMlV1AutoScaling::class;
+  protected $autoScalingDataType = '';
+  protected $containerType = GoogleCloudMlV1ContainerSpec::class;
+  protected $containerDataType = '';
+  /**
+   * Output only. The time the version was created.
+   *
+   * @var string
+   */
+  public $createTime;
+  /**
+   * The Cloud Storage URI of a directory containing trained model artifacts to
+   * be used to create the model version. See the [guide to deploying
+   * models](/ai-platform/prediction/docs/deploying-models) for more
+   * information. The total number of files under this directory must not exceed
+   * 1000. During projects.models.versions.create, AI Platform Prediction copies
+   * all files from the specified directory to a location managed by the
+   * service. From then on, AI Platform Prediction uses these copies of the
+   * model artifacts to serve predictions, not the original files in Cloud
+   * Storage, so this location is useful only as a historical record. If you
+   * specify container, then this field is optional. Otherwise, it is required.
+   * Learn [how to use this field with a custom container](/ai-
+   * platform/prediction/docs/custom-container-requirements#artifacts).
+   *
+   * @var string
+   */
+  public $deploymentUri;
+  /**
+   * Optional. The description specified for the version when it was created.
+   *
+   * @var string
+   */
+  public $description;
+  /**
+   * Output only. The details of a failure or a cancellation.
+   *
+   * @var string
+   */
+  public $errorMessage;
+  /**
+   * `etag` is used for optimistic concurrency control as a way to help prevent
+   * simultaneous updates of a model from overwriting each other. It is strongly
+   * suggested that systems make use of the `etag` in the read-modify-write
+   * cycle to perform model updates in order to avoid race conditions: An `etag`
+   * is returned in the response to `GetVersion`, and systems are expected to
+   * put that etag in the request to `UpdateVersion` to ensure that their change
+   * will be applied to the model as intended.
+   *
+   * @var string
+   */
+  public $etag;
+  protected $explanationConfigType = GoogleCloudMlV1ExplanationConfig::class;
+  protected $explanationConfigDataType = '';
+  /**
+   * Optional. The machine learning framework AI Platform uses to train this
+   * version of the model. Valid values are `TENSORFLOW`, `SCIKIT_LEARN`,
+   * `XGBOOST`. If you do not specify a framework, AI Platform will analyze
+   * files in the deployment_uri to determine a framework. If you choose
+   * `SCIKIT_LEARN` or `XGBOOST`, you must also set the runtime version of the
+   * model to 1.4 or greater. Do **not** specify a framework if you're deploying
+   * a [custom prediction routine](/ai-platform/prediction/docs/custom-
+   * prediction-routines) or if you're using a [custom container](/ai-
+   * platform/prediction/docs/use-custom-container).
+   *
+   * @var string
+   */
+  public $framework;
+  /**
+   * Output only. If true, this version will be used to handle prediction
+   * requests that do not specify a version. You can change the default version
+   * by calling projects.methods.versions.setDefault.
+   *
+   * @var bool
+   */
+  public $isDefault;
+  /**
+   * Optional. One or more labels that you can add, to organize your model
+   * versions. Each label is a key-value pair, where both the key and the value
+   * are arbitrary strings that you supply. For more information, see the
+   * documentation on using labels. Note that this field is not updatable for
+   * mls1* models.
+   *
+   * @var string[]
+   */
+  public $labels;
+  /**
+   * Output only. The [AI Platform (Unified)
+   * `Model`](https://cloud.google.com/ai-platform-
+   * unified/docs/reference/rest/v1beta1/projects.locations.models) ID for the
+   * last [model migration](https://cloud.google.com/ai-platform-
+   * unified/docs/start/migrating-to-ai-platform-unified).
+   *
+   * @var string
+   */
+  public $lastMigrationModelId;
+  /**
+   * Output only. The last time this version was successfully [migrated to AI
+   * Platform (Unified)](https://cloud.google.com/ai-platform-
+   * unified/docs/start/migrating-to-ai-platform-unified).
+   *
+   * @var string
+   */
+  public $lastMigrationTime;
+  /**
+   * Output only. The time the version was last used for prediction.
+   *
+   * @var string
+   */
+  public $lastUseTime;
+  /**
+   * Optional. The type of machine on which to serve the model. Currently only
+   * applies to online prediction service. To learn about valid values for this
+   * field, read [Choosing a machine type for online prediction](/ai-
+   * platform/prediction/docs/machine-types-online-prediction). If this field is
+   * not specified and you are using a [regional endpoint](/ai-
+   * platform/prediction/docs/regional-endpoints), then the machine type
+   * defaults to `n1-standard-2`. If this field is not specified and you are
+   * using the global endpoint (`ml.googleapis.com`), then the machine type
+   * defaults to `mls1-c1-m2`.
+   *
+   * @var string
+   */
+  public $machineType;
+  protected $manualScalingType = GoogleCloudMlV1ManualScaling::class;
+  protected $manualScalingDataType = '';
+  /**
+   * Required. The name specified for the version when it was created. The
+   * version name must be unique within the model it is created in.
+   *
+   * @var string
+   */
+  public $name;
+  /**
+   * Optional. Cloud Storage paths (`gs://…`) of packages for [custom prediction
+   * routines](/ml-engine/docs/tensorflow/custom-prediction-routines) or
+   * [scikit-learn pipelines with custom code](/ml-engine/docs/scikit/exporting-
+   * for-prediction#custom-pipeline-code). For a custom prediction routine, one
+   * of these packages must contain your Predictor class (see
+   * [`predictionClass`](#Version.FIELDS.prediction_class)). Additionally,
+   * include any dependencies used by your Predictor or scikit-learn pipeline
+   * uses that are not already included in your selected [runtime version](/ml-
+   * engine/docs/tensorflow/runtime-version-list). If you specify this field,
+   * you must also set [`runtimeVersion`](#Version.FIELDS.runtime_version) to
+   * 1.4 or greater.
+   *
+   * @var string[]
+   */
+  public $packageUris;
+  /**
+   * Optional. The fully qualified name (module_name.class_name) of a class that
+   * implements the Predictor interface described in this reference field. The
+   * module containing this class should be included in a package provided to
+   * the [`packageUris` field](#Version.FIELDS.package_uris). Specify this field
+   * if and only if you are deploying a [custom prediction routine (beta)](/ml-
+   * engine/docs/tensorflow/custom-prediction-routines). If you specify this
+   * field, you must set [`runtimeVersion`](#Version.FIELDS.runtime_version) to
+   * 1.4 or greater and you must set `machineType` to a [legacy (MLS1) machine
+   * type](/ml-engine/docs/machine-types-online-prediction). The following code
+   * sample provides the Predictor interface: class Predictor(object): Interface
+   * for constructing custom predictors. def predict(self, instances, **kwargs):
+   * Performs custom prediction. Instances are the decoded values from the
+   * request. They have already been deserialized from JSON. Args: instances: A
+   * list of prediction input instances. **kwargs: A dictionary of keyword args
+   * provided as additional fields on the predict request body. Returns: A list
+   * of outputs containing the prediction results. This list must be JSON
+   * serializable.  raise NotImplementedError() @classmethod def from_path(cls,
+   * model_dir): Creates an instance of Predictor using the given path. Loading
+   * of the predictor should be done in this method. Args: model_dir: The local
+   * directory that contains the exported model file along with any additional
+   * files uploaded when creating the version resource. Returns: An instance
+   * implementing this Predictor class.  raise NotImplementedError() Learn more
+   * about [the Predictor interface and custom prediction routines](/ml-
+   * engine/docs/tensorflow/custom-prediction-routines).
+   *
+   * @var string
+   */
+  public $predictionClass;
+  /**
+   * Required. The version of Python used in prediction. The following Python
+   * versions are available: * Python '3.7' is available when `runtime_version`
+   * is set to '1.15' or later. * Python '3.5' is available when
+   * `runtime_version` is set to a version from '1.4' to '1.14'. * Python '2.7'
+   * is available when `runtime_version` is set to '1.15' or earlier. Read more
+   * about the Python versions available for [each runtime version](/ml-
+   * engine/docs/runtime-version-list).
+   *
+   * @var string
+   */
+  public $pythonVersion;
+  protected $requestLoggingConfigType = GoogleCloudMlV1RequestLoggingConfig::class;
+  protected $requestLoggingConfigDataType = '';
+  protected $routesType = GoogleCloudMlV1RouteMap::class;
+  protected $routesDataType = '';
+  /**
+   * Required. The AI Platform runtime version to use for this deployment. For
+   * more information, see the [runtime version list](/ml-engine/docs/runtime-
+   * version-list) and [how to manage runtime versions](/ml-
+   * engine/docs/versioning).
+   *
+   * @var string
+   */
+  public $runtimeVersion;
+  /**
+   * Optional. Specifies the service account for resource access control. If you
+   * specify this field, then you must also specify either the `containerSpec`
+   * or the `predictionClass` field. Learn more about [using a custom service
+   * account](/ai-platform/prediction/docs/custom-service-account).
+   *
+   * @var string
+   */
+  public $serviceAccount;
+  /**
+   * Output only. The state of a version.
+   *
+   * @var string
+   */
+  public $state;
+
+  /**
+   * Optional. Accelerator config for using GPUs for online prediction (beta).
+   * Only specify this field if you have specified a Compute Engine (N1) machine
+   * type in the `machineType` field. Learn more about [using GPUs for online
+   * prediction](/ml-engine/docs/machine-types-online-prediction#gpus).
+   *
+   * @param GoogleCloudMlV1AcceleratorConfig $acceleratorConfig
+   */
+  public function setAcceleratorConfig(GoogleCloudMlV1AcceleratorConfig $acceleratorConfig)
+  {
+    $this->acceleratorConfig = $acceleratorConfig;
+  }
+  /**
+   * @return GoogleCloudMlV1AcceleratorConfig
+   */
+  public function getAcceleratorConfig()
+  {
+    return $this->acceleratorConfig;
+  }
+  /**
+   * Automatically scale the number of nodes used to serve the model in response
+   * to increases and decreases in traffic. Care should be taken to ramp up
+   * traffic according to the model's ability to scale or you will start seeing
+   * increases in latency and 429 response codes.
+   *
+   * @param GoogleCloudMlV1AutoScaling $autoScaling
+   */
+  public function setAutoScaling(GoogleCloudMlV1AutoScaling $autoScaling)
+  {
+    $this->autoScaling = $autoScaling;
+  }
+  /**
+   * @return GoogleCloudMlV1AutoScaling
+   */
+  public function getAutoScaling()
+  {
+    return $this->autoScaling;
+  }
+  /**
+   * Optional. Specifies a custom container to use for serving predictions. If
+   * you specify this field, then `machineType` is required. If you specify this
+   * field, then `deploymentUri` is optional. If you specify this field, then
+   * you must not specify `runtimeVersion`, `packageUris`, `framework`,
+   * `pythonVersion`, or `predictionClass`.
+   *
+   * @param GoogleCloudMlV1ContainerSpec $container
+   */
+  public function setContainer(GoogleCloudMlV1ContainerSpec $container)
+  {
+    $this->container = $container;
+  }
+  /**
+   * @return GoogleCloudMlV1ContainerSpec
+   */
+  public function getContainer()
+  {
+    return $this->container;
+  }
+  /**
+   * Output only. The time the version was created.
+   *
+   * @param string $createTime
+   */
+  public function setCreateTime($createTime)
+  {
+    $this->createTime = $createTime;
+  }
+  /**
+   * @return string
+   */
+  public function getCreateTime()
+  {
+    return $this->createTime;
+  }
+  /**
+   * The Cloud Storage URI of a directory containing trained model artifacts to
+   * be used to create the model version. See the [guide to deploying
+   * models](/ai-platform/prediction/docs/deploying-models) for more
+   * information. The total number of files under this directory must not exceed
+   * 1000. During projects.models.versions.create, AI Platform Prediction copies
+   * all files from the specified directory to a location managed by the
+   * service. From then on, AI Platform Prediction uses these copies of the
+   * model artifacts to serve predictions, not the original files in Cloud
+   * Storage, so this location is useful only as a historical record. If you
+   * specify container, then this field is optional. Otherwise, it is required.
+   * Learn [how to use this field with a custom container](/ai-
+   * platform/prediction/docs/custom-container-requirements#artifacts).
+   *
+   * @param string $deploymentUri
+   */
+  public function setDeploymentUri($deploymentUri)
+  {
+    $this->deploymentUri = $deploymentUri;
+  }
+  /**
+   * @return string
+   */
+  public function getDeploymentUri()
+  {
+    return $this->deploymentUri;
+  }
+  /**
+   * Optional. The description specified for the version when it was created.
+   *
+   * @param string $description
+   */
+  public function setDescription($description)
+  {
+    $this->description = $description;
+  }
+  /**
+   * @return string
+   */
+  public function getDescription()
+  {
+    return $this->description;
+  }
+  /**
+   * Output only. The details of a failure or a cancellation.
+   *
+   * @param string $errorMessage
+   */
+  public function setErrorMessage($errorMessage)
+  {
+    $this->errorMessage = $errorMessage;
+  }
+  /**
+   * @return string
+   */
+  public function getErrorMessage()
+  {
+    return $this->errorMessage;
+  }
+  /**
+   * `etag` is used for optimistic concurrency control as a way to help prevent
+   * simultaneous updates of a model from overwriting each other. It is strongly
+   * suggested that systems make use of the `etag` in the read-modify-write
+   * cycle to perform model updates in order to avoid race conditions: An `etag`
+   * is returned in the response to `GetVersion`, and systems are expected to
+   * put that etag in the request to `UpdateVersion` to ensure that their change
+   * will be applied to the model as intended.
+   *
+   * @param string $etag
+   */
+  public function setEtag($etag)
+  {
+    $this->etag = $etag;
+  }
+  /**
+   * @return string
+   */
+  public function getEtag()
+  {
+    return $this->etag;
+  }
+  /**
+   * Optional. Configures explainability features on the model's version. Some
+   * explanation features require additional metadata to be loaded as part of
+   * the model payload.
+   *
+   * @param GoogleCloudMlV1ExplanationConfig $explanationConfig
+   */
+  public function setExplanationConfig(GoogleCloudMlV1ExplanationConfig $explanationConfig)
+  {
+    $this->explanationConfig = $explanationConfig;
+  }
+  /**
+   * @return GoogleCloudMlV1ExplanationConfig
+   */
+  public function getExplanationConfig()
+  {
+    return $this->explanationConfig;
+  }
+  /**
+   * Optional. The machine learning framework AI Platform uses to train this
+   * version of the model. Valid values are `TENSORFLOW`, `SCIKIT_LEARN`,
+   * `XGBOOST`. If you do not specify a framework, AI Platform will analyze
+   * files in the deployment_uri to determine a framework. If you choose
+   * `SCIKIT_LEARN` or `XGBOOST`, you must also set the runtime version of the
+   * model to 1.4 or greater. Do **not** specify a framework if you're deploying
+   * a [custom prediction routine](/ai-platform/prediction/docs/custom-
+   * prediction-routines) or if you're using a [custom container](/ai-
+   * platform/prediction/docs/use-custom-container).
+   *
+   * Accepted values: FRAMEWORK_UNSPECIFIED, TENSORFLOW, SCIKIT_LEARN, XGBOOST
+   *
+   * @param self::FRAMEWORK_* $framework
+   */
+  public function setFramework($framework)
+  {
+    $this->framework = $framework;
+  }
+  /**
+   * @return self::FRAMEWORK_*
+   */
+  public function getFramework()
+  {
+    return $this->framework;
+  }
+  /**
+   * Output only. If true, this version will be used to handle prediction
+   * requests that do not specify a version. You can change the default version
+   * by calling projects.methods.versions.setDefault.
+   *
+   * @param bool $isDefault
+   */
+  public function setIsDefault($isDefault)
+  {
+    $this->isDefault = $isDefault;
+  }
+  /**
+   * @return bool
+   */
+  public function getIsDefault()
+  {
+    return $this->isDefault;
+  }
+  /**
+   * Optional. One or more labels that you can add, to organize your model
+   * versions. Each label is a key-value pair, where both the key and the value
+   * are arbitrary strings that you supply. For more information, see the
+   * documentation on using labels. Note that this field is not updatable for
+   * mls1* models.
+   *
+   * @param string[] $labels
+   */
+  public function setLabels($labels)
+  {
+    $this->labels = $labels;
+  }
+  /**
+   * @return string[]
+   */
+  public function getLabels()
+  {
+    return $this->labels;
+  }
+  /**
+   * Output only. The [AI Platform (Unified)
+   * `Model`](https://cloud.google.com/ai-platform-
+   * unified/docs/reference/rest/v1beta1/projects.locations.models) ID for the
+   * last [model migration](https://cloud.google.com/ai-platform-
+   * unified/docs/start/migrating-to-ai-platform-unified).
+   *
+   * @param string $lastMigrationModelId
+   */
+  public function setLastMigrationModelId($lastMigrationModelId)
+  {
+    $this->lastMigrationModelId = $lastMigrationModelId;
+  }
+  /**
+   * @return string
+   */
+  public function getLastMigrationModelId()
+  {
+    return $this->lastMigrationModelId;
+  }
+  /**
+   * Output only. The last time this version was successfully [migrated to AI
+   * Platform (Unified)](https://cloud.google.com/ai-platform-
+   * unified/docs/start/migrating-to-ai-platform-unified).
+   *
+   * @param string $lastMigrationTime
+   */
+  public function setLastMigrationTime($lastMigrationTime)
+  {
+    $this->lastMigrationTime = $lastMigrationTime;
+  }
+  /**
+   * @return string
+   */
+  public function getLastMigrationTime()
+  {
+    return $this->lastMigrationTime;
+  }
+  /**
+   * Output only. The time the version was last used for prediction.
+   *
+   * @param string $lastUseTime
+   */
+  public function setLastUseTime($lastUseTime)
+  {
+    $this->lastUseTime = $lastUseTime;
+  }
+  /**
+   * @return string
+   */
+  public function getLastUseTime()
+  {
+    return $this->lastUseTime;
+  }
+  /**
+   * Optional. The type of machine on which to serve the model. Currently only
+   * applies to online prediction service. To learn about valid values for this
+   * field, read [Choosing a machine type for online prediction](/ai-
+   * platform/prediction/docs/machine-types-online-prediction). If this field is
+   * not specified and you are using a [regional endpoint](/ai-
+   * platform/prediction/docs/regional-endpoints), then the machine type
+   * defaults to `n1-standard-2`. If this field is not specified and you are
+   * using the global endpoint (`ml.googleapis.com`), then the machine type
+   * defaults to `mls1-c1-m2`.
+   *
+   * @param string $machineType
+   */
+  public function setMachineType($machineType)
+  {
+    $this->machineType = $machineType;
+  }
+  /**
+   * @return string
+   */
+  public function getMachineType()
+  {
+    return $this->machineType;
+  }
+  /**
+   * Manually select the number of nodes to use for serving the model. You
+   * should generally use `auto_scaling` with an appropriate `min_nodes`
+   * instead, but this option is available if you want more predictable billing.
+   * Beware that latency and error rates will increase if the traffic exceeds
+   * that capability of the system to serve it based on the selected number of
+   * nodes.
+   *
+   * @param GoogleCloudMlV1ManualScaling $manualScaling
+   */
+  public function setManualScaling(GoogleCloudMlV1ManualScaling $manualScaling)
+  {
+    $this->manualScaling = $manualScaling;
+  }
+  /**
+   * @return GoogleCloudMlV1ManualScaling
+   */
+  public function getManualScaling()
+  {
+    return $this->manualScaling;
+  }
+  /**
+   * Required. The name specified for the version when it was created. The
+   * version name must be unique within the model it is created in.
+   *
+   * @param string $name
+   */
+  public function setName($name)
+  {
+    $this->name = $name;
+  }
+  /**
+   * @return string
+   */
+  public function getName()
+  {
+    return $this->name;
+  }
+  /**
+   * Optional. Cloud Storage paths (`gs://…`) of packages for [custom prediction
+   * routines](/ml-engine/docs/tensorflow/custom-prediction-routines) or
+   * [scikit-learn pipelines with custom code](/ml-engine/docs/scikit/exporting-
+   * for-prediction#custom-pipeline-code). For a custom prediction routine, one
+   * of these packages must contain your Predictor class (see
+   * [`predictionClass`](#Version.FIELDS.prediction_class)). Additionally,
+   * include any dependencies used by your Predictor or scikit-learn pipeline
+   * uses that are not already included in your selected [runtime version](/ml-
+   * engine/docs/tensorflow/runtime-version-list). If you specify this field,
+   * you must also set [`runtimeVersion`](#Version.FIELDS.runtime_version) to
+   * 1.4 or greater.
+   *
+   * @param string[] $packageUris
+   */
+  public function setPackageUris($packageUris)
+  {
+    $this->packageUris = $packageUris;
+  }
+  /**
+   * @return string[]
+   */
+  public function getPackageUris()
+  {
+    return $this->packageUris;
+  }
+  /**
+   * Optional. The fully qualified name (module_name.class_name) of a class that
+   * implements the Predictor interface described in this reference field. The
+   * module containing this class should be included in a package provided to
+   * the [`packageUris` field](#Version.FIELDS.package_uris). Specify this field
+   * if and only if you are deploying a [custom prediction routine (beta)](/ml-
+   * engine/docs/tensorflow/custom-prediction-routines). If you specify this
+   * field, you must set [`runtimeVersion`](#Version.FIELDS.runtime_version) to
+   * 1.4 or greater and you must set `machineType` to a [legacy (MLS1) machine
+   * type](/ml-engine/docs/machine-types-online-prediction). The following code
+   * sample provides the Predictor interface: class Predictor(object): Interface
+   * for constructing custom predictors. def predict(self, instances, **kwargs):
+   * Performs custom prediction. Instances are the decoded values from the
+   * request. They have already been deserialized from JSON. Args: instances: A
+   * list of prediction input instances. **kwargs: A dictionary of keyword args
+   * provided as additional fields on the predict request body. Returns: A list
+   * of outputs containing the prediction results. This list must be JSON
+   * serializable.  raise NotImplementedError() @classmethod def from_path(cls,
+   * model_dir): Creates an instance of Predictor using the given path. Loading
+   * of the predictor should be done in this method. Args: model_dir: The local
+   * directory that contains the exported model file along with any additional
+   * files uploaded when creating the version resource. Returns: An instance
+   * implementing this Predictor class.  raise NotImplementedError() Learn more
+   * about [the Predictor interface and custom prediction routines](/ml-
+   * engine/docs/tensorflow/custom-prediction-routines).
+   *
+   * @param string $predictionClass
+   */
+  public function setPredictionClass($predictionClass)
+  {
+    $this->predictionClass = $predictionClass;
+  }
+  /**
+   * @return string
+   */
+  public function getPredictionClass()
+  {
+    return $this->predictionClass;
+  }
+  /**
+   * Required. The version of Python used in prediction. The following Python
+   * versions are available: * Python '3.7' is available when `runtime_version`
+   * is set to '1.15' or later. * Python '3.5' is available when
+   * `runtime_version` is set to a version from '1.4' to '1.14'. * Python '2.7'
+   * is available when `runtime_version` is set to '1.15' or earlier. Read more
+   * about the Python versions available for [each runtime version](/ml-
+   * engine/docs/runtime-version-list).
+   *
+   * @param string $pythonVersion
+   */
+  public function setPythonVersion($pythonVersion)
+  {
+    $this->pythonVersion = $pythonVersion;
+  }
+  /**
+   * @return string
+   */
+  public function getPythonVersion()
+  {
+    return $this->pythonVersion;
+  }
+  /**
+   * Optional. *Only* specify this field in a projects.models.versions.patch
+   * request. Specifying it in a projects.models.versions.create request has no
+   * effect. Configures the request-response pair logging on predictions from
+   * this Version.
+   *
+   * @param GoogleCloudMlV1RequestLoggingConfig $requestLoggingConfig
+   */
+  public function setRequestLoggingConfig(GoogleCloudMlV1RequestLoggingConfig $requestLoggingConfig)
+  {
+    $this->requestLoggingConfig = $requestLoggingConfig;
+  }
+  /**
+   * @return GoogleCloudMlV1RequestLoggingConfig
+   */
+  public function getRequestLoggingConfig()
+  {
+    return $this->requestLoggingConfig;
+  }
+  /**
+   * Optional. Specifies paths on a custom container's HTTP server where AI
+   * Platform Prediction sends certain requests. If you specify this field, then
+   * you must also specify the `container` field. If you specify the `container`
+   * field and do not specify this field, it defaults to the following: ```json
+   * { "predict": "/v1/models/MODEL/versions/VERSION:predict", "health":
+   * "/v1/models/MODEL/versions/VERSION" } ``` See RouteMap for more details
+   * about these default values.
+   *
+   * @param GoogleCloudMlV1RouteMap $routes
+   */
+  public function setRoutes(GoogleCloudMlV1RouteMap $routes)
+  {
+    $this->routes = $routes;
+  }
+  /**
+   * @return GoogleCloudMlV1RouteMap
+   */
+  public function getRoutes()
+  {
+    return $this->routes;
+  }
+  /**
+   * Required. The AI Platform runtime version to use for this deployment. For
+   * more information, see the [runtime version list](/ml-engine/docs/runtime-
+   * version-list) and [how to manage runtime versions](/ml-
+   * engine/docs/versioning).
+   *
+   * @param string $runtimeVersion
+   */
+  public function setRuntimeVersion($runtimeVersion)
+  {
+    $this->runtimeVersion = $runtimeVersion;
+  }
+  /**
+   * @return string
+   */
+  public function getRuntimeVersion()
+  {
+    return $this->runtimeVersion;
+  }
+  /**
+   * Optional. Specifies the service account for resource access control. If you
+   * specify this field, then you must also specify either the `containerSpec`
+   * or the `predictionClass` field. Learn more about [using a custom service
+   * account](/ai-platform/prediction/docs/custom-service-account).
+   *
+   * @param string $serviceAccount
+   */
+  public function setServiceAccount($serviceAccount)
+  {
+    $this->serviceAccount = $serviceAccount;
+  }
+  /**
+   * @return string
+   */
+  public function getServiceAccount()
+  {
+    return $this->serviceAccount;
+  }
+  /**
+   * Output only. The state of a version.
+   *
+   * Accepted values: UNKNOWN, READY, CREATING, FAILED, DELETING, UPDATING
+   *
+   * @param self::STATE_* $state
+   */
+  public function setState($state)
+  {
+    $this->state = $state;
+  }
+  /**
+   * @return self::STATE_*
+   */
+  public function getState()
+  {
+    return $this->state;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1Version::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1Version');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleCloudMlV1XraiAttribution.php

@@ -0,0 +1,52 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleCloudMlV1XraiAttribution extends \Google\Model
+{
+  /**
+   * Number of steps for approximating the path integral. A good value to start
+   * is 50 and gradually increase until the sum to diff property is met within
+   * the desired error range.
+   *
+   * @var int
+   */
+  public $numIntegralSteps;
+
+  /**
+   * Number of steps for approximating the path integral. A good value to start
+   * is 50 and gradually increase until the sum to diff property is met within
+   * the desired error range.
+   *
+   * @param int $numIntegralSteps
+   */
+  public function setNumIntegralSteps($numIntegralSteps)
+  {
+    $this->numIntegralSteps = $numIntegralSteps;
+  }
+  /**
+   * @return int
+   */
+  public function getNumIntegralSteps()
+  {
+    return $this->numIntegralSteps;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudMlV1XraiAttribution::class, 'Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1XraiAttribution');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleIamV1AuditConfig.php

@@ -0,0 +1,71 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleIamV1AuditConfig extends \Google\Collection
+{
+  protected $collection_key = 'auditLogConfigs';
+  protected $auditLogConfigsType = GoogleIamV1AuditLogConfig::class;
+  protected $auditLogConfigsDataType = 'array';
+  /**
+   * Specifies a service that will be enabled for audit logging. For example,
+   * `storage.googleapis.com`, `cloudsql.googleapis.com`. `allServices` is a
+   * special value that covers all services.
+   *
+   * @var string
+   */
+  public $service;
+
+  /**
+   * The configuration for logging of each type of permission.
+   *
+   * @param GoogleIamV1AuditLogConfig[] $auditLogConfigs
+   */
+  public function setAuditLogConfigs($auditLogConfigs)
+  {
+    $this->auditLogConfigs = $auditLogConfigs;
+  }
+  /**
+   * @return GoogleIamV1AuditLogConfig[]
+   */
+  public function getAuditLogConfigs()
+  {
+    return $this->auditLogConfigs;
+  }
+  /**
+   * Specifies a service that will be enabled for audit logging. For example,
+   * `storage.googleapis.com`, `cloudsql.googleapis.com`. `allServices` is a
+   * special value that covers all services.
+   *
+   * @param string $service
+   */
+  public function setService($service)
+  {
+    $this->service = $service;
+  }
+  /**
+   * @return string
+   */
+  public function getService()
+  {
+    return $this->service;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleIamV1AuditConfig::class, 'Google_Service_CloudMachineLearningEngine_GoogleIamV1AuditConfig');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleIamV1AuditLogConfig.php

@@ -0,0 +1,91 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleIamV1AuditLogConfig extends \Google\Collection
+{
+  /**
+   * Default case. Should never be this.
+   */
+  public const LOG_TYPE_LOG_TYPE_UNSPECIFIED = 'LOG_TYPE_UNSPECIFIED';
+  /**
+   * Admin reads. Example: CloudIAM getIamPolicy
+   */
+  public const LOG_TYPE_ADMIN_READ = 'ADMIN_READ';
+  /**
+   * Data writes. Example: CloudSQL Users create
+   */
+  public const LOG_TYPE_DATA_WRITE = 'DATA_WRITE';
+  /**
+   * Data reads. Example: CloudSQL Users list
+   */
+  public const LOG_TYPE_DATA_READ = 'DATA_READ';
+  protected $collection_key = 'exemptedMembers';
+  /**
+   * Specifies the identities that do not cause logging for this type of
+   * permission. Follows the same format of Binding.members.
+   *
+   * @var string[]
+   */
+  public $exemptedMembers;
+  /**
+   * The log type that this config enables.
+   *
+   * @var string
+   */
+  public $logType;
+
+  /**
+   * Specifies the identities that do not cause logging for this type of
+   * permission. Follows the same format of Binding.members.
+   *
+   * @param string[] $exemptedMembers
+   */
+  public function setExemptedMembers($exemptedMembers)
+  {
+    $this->exemptedMembers = $exemptedMembers;
+  }
+  /**
+   * @return string[]
+   */
+  public function getExemptedMembers()
+  {
+    return $this->exemptedMembers;
+  }
+  /**
+   * The log type that this config enables.
+   *
+   * Accepted values: LOG_TYPE_UNSPECIFIED, ADMIN_READ, DATA_WRITE, DATA_READ
+   *
+   * @param self::LOG_TYPE_* $logType
+   */
+  public function setLogType($logType)
+  {
+    $this->logType = $logType;
+  }
+  /**
+   * @return self::LOG_TYPE_*
+   */
+  public function getLogType()
+  {
+    return $this->logType;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleIamV1AuditLogConfig::class, 'Google_Service_CloudMachineLearningEngine_GoogleIamV1AuditLogConfig');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleIamV1Binding.php

@@ -0,0 +1,216 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleIamV1Binding extends \Google\Collection
+{
+  protected $collection_key = 'members';
+  protected $conditionType = GoogleTypeExpr::class;
+  protected $conditionDataType = '';
+  /**
+   * Specifies the principals requesting access for a Google Cloud resource.
+   * `members` can have the following values: * `allUsers`: A special identifier
+   * that represents anyone who is on the internet; with or without a Google
+   * account. * `allAuthenticatedUsers`: A special identifier that represents
+   * anyone who is authenticated with a Google account or a service account.
+   * Does not include identities that come from external identity providers
+   * (IdPs) through identity federation. * `user:{emailid}`: An email address
+   * that represents a specific Google account. For example, `alice@example.com`
+   * . * `serviceAccount:{emailid}`: An email address that represents a Google
+   * service account. For example, `my-other-app@appspot.gserviceaccount.com`. *
+   * `serviceAccount:{projectid}.svc.id.goog[{namespace}/{kubernetes-sa}]`: An
+   * identifier for a [Kubernetes service
+   * account](https://cloud.google.com/kubernetes-engine/docs/how-to/kubernetes-
+   * service-accounts). For example, `my-project.svc.id.goog[my-namespace/my-
+   * kubernetes-sa]`. * `group:{emailid}`: An email address that represents a
+   * Google group. For example, `admins@example.com`. * `domain:{domain}`: The G
+   * Suite domain (primary) that represents all the users of that domain. For
+   * example, `google.com` or `example.com`. * `principal://iam.googleapis.com/l
+   * ocations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`
+   * : A single identity in a workforce identity pool. * `principalSet://iam.goo
+   * gleapis.com/locations/global/workforcePools/{pool_id}/group/{group_id}`:
+   * All workforce identities in a group. * `principalSet://iam.googleapis.com/l
+   * ocations/global/workforcePools/{pool_id}/attribute.{attribute_name}/{attrib
+   * ute_value}`: All workforce identities with a specific attribute value. * `p
+   * rincipalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}`
+   * : All identities in a workforce identity pool. * `principal://iam.googleapi
+   * s.com/projects/{project_number}/locations/global/workloadIdentityPools/{poo
+   * l_id}/subject/{subject_attribute_value}`: A single identity in a workload
+   * identity pool. * `principalSet://iam.googleapis.com/projects/{project_numbe
+   * r}/locations/global/workloadIdentityPools/{pool_id}/group/{group_id}`: A
+   * workload identity pool group. * `principalSet://iam.googleapis.com/projects
+   * /{project_number}/locations/global/workloadIdentityPools/{pool_id}/attribut
+   * e.{attribute_name}/{attribute_value}`: All identities in a workload
+   * identity pool with a certain attribute. * `principalSet://iam.googleapis.co
+   * m/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id
+   * }`: All identities in a workload identity pool. *
+   * `deleted:user:{emailid}?uid={uniqueid}`: An email address (plus unique
+   * identifier) representing a user that has been recently deleted. For
+   * example, `alice@example.com?uid=123456789012345678901`. If the user is
+   * recovered, this value reverts to `user:{emailid}` and the recovered user
+   * retains the role in the binding. *
+   * `deleted:serviceAccount:{emailid}?uid={uniqueid}`: An email address (plus
+   * unique identifier) representing a service account that has been recently
+   * deleted. For example, `my-other-
+   * app@appspot.gserviceaccount.com?uid=123456789012345678901`. If the service
+   * account is undeleted, this value reverts to `serviceAccount:{emailid}` and
+   * the undeleted service account retains the role in the binding. *
+   * `deleted:group:{emailid}?uid={uniqueid}`: An email address (plus unique
+   * identifier) representing a Google group that has been recently deleted. For
+   * example, `admins@example.com?uid=123456789012345678901`. If the group is
+   * recovered, this value reverts to `group:{emailid}` and the recovered group
+   * retains the role in the binding. * `deleted:principal://iam.googleapis.com/
+   * locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}
+   * `: Deleted single identity in a workforce identity pool. For example,
+   * `deleted:principal://iam.googleapis.com/locations/global/workforcePools/my-
+   * pool-id/subject/my-subject-attribute-value`.
+   *
+   * @var string[]
+   */
+  public $members;
+  /**
+   * Role that is assigned to the list of `members`, or principals. For example,
+   * `roles/viewer`, `roles/editor`, or `roles/owner`. For an overview of the
+   * IAM roles and permissions, see the [IAM
+   * documentation](https://cloud.google.com/iam/docs/roles-overview). For a
+   * list of the available pre-defined roles, see
+   * [here](https://cloud.google.com/iam/docs/understanding-roles).
+   *
+   * @var string
+   */
+  public $role;
+
+  /**
+   * The condition that is associated with this binding. If the condition
+   * evaluates to `true`, then this binding applies to the current request. If
+   * the condition evaluates to `false`, then this binding does not apply to the
+   * current request. However, a different role binding might grant the same
+   * role to one or more of the principals in this binding. To learn which
+   * resources support conditions in their IAM policies, see the [IAM
+   * documentation](https://cloud.google.com/iam/help/conditions/resource-
+   * policies).
+   *
+   * @param GoogleTypeExpr $condition
+   */
+  public function setCondition(GoogleTypeExpr $condition)
+  {
+    $this->condition = $condition;
+  }
+  /**
+   * @return GoogleTypeExpr
+   */
+  public function getCondition()
+  {
+    return $this->condition;
+  }
+  /**
+   * Specifies the principals requesting access for a Google Cloud resource.
+   * `members` can have the following values: * `allUsers`: A special identifier
+   * that represents anyone who is on the internet; with or without a Google
+   * account. * `allAuthenticatedUsers`: A special identifier that represents
+   * anyone who is authenticated with a Google account or a service account.
+   * Does not include identities that come from external identity providers
+   * (IdPs) through identity federation. * `user:{emailid}`: An email address
+   * that represents a specific Google account. For example, `alice@example.com`
+   * . * `serviceAccount:{emailid}`: An email address that represents a Google
+   * service account. For example, `my-other-app@appspot.gserviceaccount.com`. *
+   * `serviceAccount:{projectid}.svc.id.goog[{namespace}/{kubernetes-sa}]`: An
+   * identifier for a [Kubernetes service
+   * account](https://cloud.google.com/kubernetes-engine/docs/how-to/kubernetes-
+   * service-accounts). For example, `my-project.svc.id.goog[my-namespace/my-
+   * kubernetes-sa]`. * `group:{emailid}`: An email address that represents a
+   * Google group. For example, `admins@example.com`. * `domain:{domain}`: The G
+   * Suite domain (primary) that represents all the users of that domain. For
+   * example, `google.com` or `example.com`. * `principal://iam.googleapis.com/l
+   * ocations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`
+   * : A single identity in a workforce identity pool. * `principalSet://iam.goo
+   * gleapis.com/locations/global/workforcePools/{pool_id}/group/{group_id}`:
+   * All workforce identities in a group. * `principalSet://iam.googleapis.com/l
+   * ocations/global/workforcePools/{pool_id}/attribute.{attribute_name}/{attrib
+   * ute_value}`: All workforce identities with a specific attribute value. * `p
+   * rincipalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}`
+   * : All identities in a workforce identity pool. * `principal://iam.googleapi
+   * s.com/projects/{project_number}/locations/global/workloadIdentityPools/{poo
+   * l_id}/subject/{subject_attribute_value}`: A single identity in a workload
+   * identity pool. * `principalSet://iam.googleapis.com/projects/{project_numbe
+   * r}/locations/global/workloadIdentityPools/{pool_id}/group/{group_id}`: A
+   * workload identity pool group. * `principalSet://iam.googleapis.com/projects
+   * /{project_number}/locations/global/workloadIdentityPools/{pool_id}/attribut
+   * e.{attribute_name}/{attribute_value}`: All identities in a workload
+   * identity pool with a certain attribute. * `principalSet://iam.googleapis.co
+   * m/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id
+   * }`: All identities in a workload identity pool. *
+   * `deleted:user:{emailid}?uid={uniqueid}`: An email address (plus unique
+   * identifier) representing a user that has been recently deleted. For
+   * example, `alice@example.com?uid=123456789012345678901`. If the user is
+   * recovered, this value reverts to `user:{emailid}` and the recovered user
+   * retains the role in the binding. *
+   * `deleted:serviceAccount:{emailid}?uid={uniqueid}`: An email address (plus
+   * unique identifier) representing a service account that has been recently
+   * deleted. For example, `my-other-
+   * app@appspot.gserviceaccount.com?uid=123456789012345678901`. If the service
+   * account is undeleted, this value reverts to `serviceAccount:{emailid}` and
+   * the undeleted service account retains the role in the binding. *
+   * `deleted:group:{emailid}?uid={uniqueid}`: An email address (plus unique
+   * identifier) representing a Google group that has been recently deleted. For
+   * example, `admins@example.com?uid=123456789012345678901`. If the group is
+   * recovered, this value reverts to `group:{emailid}` and the recovered group
+   * retains the role in the binding. * `deleted:principal://iam.googleapis.com/
+   * locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}
+   * `: Deleted single identity in a workforce identity pool. For example,
+   * `deleted:principal://iam.googleapis.com/locations/global/workforcePools/my-
+   * pool-id/subject/my-subject-attribute-value`.
+   *
+   * @param string[] $members
+   */
+  public function setMembers($members)
+  {
+    $this->members = $members;
+  }
+  /**
+   * @return string[]
+   */
+  public function getMembers()
+  {
+    return $this->members;
+  }
+  /**
+   * Role that is assigned to the list of `members`, or principals. For example,
+   * `roles/viewer`, `roles/editor`, or `roles/owner`. For an overview of the
+   * IAM roles and permissions, see the [IAM
+   * documentation](https://cloud.google.com/iam/docs/roles-overview). For a
+   * list of the available pre-defined roles, see
+   * [here](https://cloud.google.com/iam/docs/understanding-roles).
+   *
+   * @param string $role
+   */
+  public function setRole($role)
+  {
+    $this->role = $role;
+  }
+  /**
+   * @return string
+   */
+  public function getRole()
+  {
+    return $this->role;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleIamV1Binding::class, 'Google_Service_CloudMachineLearningEngine_GoogleIamV1Binding');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleIamV1Policy.php

@@ -0,0 +1,165 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleIamV1Policy extends \Google\Collection
+{
+  protected $collection_key = 'bindings';
+  protected $auditConfigsType = GoogleIamV1AuditConfig::class;
+  protected $auditConfigsDataType = 'array';
+  protected $bindingsType = GoogleIamV1Binding::class;
+  protected $bindingsDataType = 'array';
+  /**
+   * `etag` is used for optimistic concurrency control as a way to help prevent
+   * simultaneous updates of a policy from overwriting each other. It is
+   * strongly suggested that systems make use of the `etag` in the read-modify-
+   * write cycle to perform policy updates in order to avoid race conditions: An
+   * `etag` is returned in the response to `getIamPolicy`, and systems are
+   * expected to put that etag in the request to `setIamPolicy` to ensure that
+   * their change will be applied to the same version of the policy.
+   * **Important:** If you use IAM Conditions, you must include the `etag` field
+   * whenever you call `setIamPolicy`. If you omit this field, then IAM allows
+   * you to overwrite a version `3` policy with a version `1` policy, and all of
+   * the conditions in the version `3` policy are lost.
+   *
+   * @var string
+   */
+  public $etag;
+  /**
+   * Specifies the format of the policy. Valid values are `0`, `1`, and `3`.
+   * Requests that specify an invalid value are rejected. Any operation that
+   * affects conditional role bindings must specify version `3`. This
+   * requirement applies to the following operations: * Getting a policy that
+   * includes a conditional role binding * Adding a conditional role binding to
+   * a policy * Changing a conditional role binding in a policy * Removing any
+   * role binding, with or without a condition, from a policy that includes
+   * conditions **Important:** If you use IAM Conditions, you must include the
+   * `etag` field whenever you call `setIamPolicy`. If you omit this field, then
+   * IAM allows you to overwrite a version `3` policy with a version `1` policy,
+   * and all of the conditions in the version `3` policy are lost. If a policy
+   * does not include any conditions, operations on that policy may specify any
+   * valid version or leave the field unset. To learn which resources support
+   * conditions in their IAM policies, see the [IAM
+   * documentation](https://cloud.google.com/iam/help/conditions/resource-
+   * policies).
+   *
+   * @var int
+   */
+  public $version;
+
+  /**
+   * Specifies cloud audit logging configuration for this policy.
+   *
+   * @param GoogleIamV1AuditConfig[] $auditConfigs
+   */
+  public function setAuditConfigs($auditConfigs)
+  {
+    $this->auditConfigs = $auditConfigs;
+  }
+  /**
+   * @return GoogleIamV1AuditConfig[]
+   */
+  public function getAuditConfigs()
+  {
+    return $this->auditConfigs;
+  }
+  /**
+   * Associates a list of `members`, or principals, with a `role`. Optionally,
+   * may specify a `condition` that determines how and when the `bindings` are
+   * applied. Each of the `bindings` must contain at least one principal. The
+   * `bindings` in a `Policy` can refer to up to 1,500 principals; up to 250 of
+   * these principals can be Google groups. Each occurrence of a principal
+   * counts towards these limits. For example, if the `bindings` grant 50
+   * different roles to `user:alice@example.com`, and not to any other
+   * principal, then you can add another 1,450 principals to the `bindings` in
+   * the `Policy`.
+   *
+   * @param GoogleIamV1Binding[] $bindings
+   */
+  public function setBindings($bindings)
+  {
+    $this->bindings = $bindings;
+  }
+  /**
+   * @return GoogleIamV1Binding[]
+   */
+  public function getBindings()
+  {
+    return $this->bindings;
+  }
+  /**
+   * `etag` is used for optimistic concurrency control as a way to help prevent
+   * simultaneous updates of a policy from overwriting each other. It is
+   * strongly suggested that systems make use of the `etag` in the read-modify-
+   * write cycle to perform policy updates in order to avoid race conditions: An
+   * `etag` is returned in the response to `getIamPolicy`, and systems are
+   * expected to put that etag in the request to `setIamPolicy` to ensure that
+   * their change will be applied to the same version of the policy.
+   * **Important:** If you use IAM Conditions, you must include the `etag` field
+   * whenever you call `setIamPolicy`. If you omit this field, then IAM allows
+   * you to overwrite a version `3` policy with a version `1` policy, and all of
+   * the conditions in the version `3` policy are lost.
+   *
+   * @param string $etag
+   */
+  public function setEtag($etag)
+  {
+    $this->etag = $etag;
+  }
+  /**
+   * @return string
+   */
+  public function getEtag()
+  {
+    return $this->etag;
+  }
+  /**
+   * Specifies the format of the policy. Valid values are `0`, `1`, and `3`.
+   * Requests that specify an invalid value are rejected. Any operation that
+   * affects conditional role bindings must specify version `3`. This
+   * requirement applies to the following operations: * Getting a policy that
+   * includes a conditional role binding * Adding a conditional role binding to
+   * a policy * Changing a conditional role binding in a policy * Removing any
+   * role binding, with or without a condition, from a policy that includes
+   * conditions **Important:** If you use IAM Conditions, you must include the
+   * `etag` field whenever you call `setIamPolicy`. If you omit this field, then
+   * IAM allows you to overwrite a version `3` policy with a version `1` policy,
+   * and all of the conditions in the version `3` policy are lost. If a policy
+   * does not include any conditions, operations on that policy may specify any
+   * valid version or leave the field unset. To learn which resources support
+   * conditions in their IAM policies, see the [IAM
+   * documentation](https://cloud.google.com/iam/help/conditions/resource-
+   * policies).
+   *
+   * @param int $version
+   */
+  public function setVersion($version)
+  {
+    $this->version = $version;
+  }
+  /**
+   * @return int
+   */
+  public function getVersion()
+  {
+    return $this->version;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleIamV1Policy::class, 'Google_Service_CloudMachineLearningEngine_GoogleIamV1Policy');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleIamV1SetIamPolicyRequest.php

@@ -0,0 +1,72 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleIamV1SetIamPolicyRequest extends \Google\Model
+{
+  protected $policyType = GoogleIamV1Policy::class;
+  protected $policyDataType = '';
+  /**
+   * OPTIONAL: A FieldMask specifying which fields of the policy to modify. Only
+   * the fields in the mask will be modified. If no mask is provided, the
+   * following default mask is used: `paths: "bindings, etag"`
+   *
+   * @var string
+   */
+  public $updateMask;
+
+  /**
+   * REQUIRED: The complete policy to be applied to the `resource`. The size of
+   * the policy is limited to a few 10s of KB. An empty policy is a valid policy
+   * but certain Google Cloud services (such as Projects) might reject them.
+   *
+   * @param GoogleIamV1Policy $policy
+   */
+  public function setPolicy(GoogleIamV1Policy $policy)
+  {
+    $this->policy = $policy;
+  }
+  /**
+   * @return GoogleIamV1Policy
+   */
+  public function getPolicy()
+  {
+    return $this->policy;
+  }
+  /**
+   * OPTIONAL: A FieldMask specifying which fields of the policy to modify. Only
+   * the fields in the mask will be modified. If no mask is provided, the
+   * following default mask is used: `paths: "bindings, etag"`
+   *
+   * @param string $updateMask
+   */
+  public function setUpdateMask($updateMask)
+  {
+    $this->updateMask = $updateMask;
+  }
+  /**
+   * @return string
+   */
+  public function getUpdateMask()
+  {
+    return $this->updateMask;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleIamV1SetIamPolicyRequest::class, 'Google_Service_CloudMachineLearningEngine_GoogleIamV1SetIamPolicyRequest');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleIamV1TestIamPermissionsRequest.php

@@ -0,0 +1,55 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleIamV1TestIamPermissionsRequest extends \Google\Collection
+{
+  protected $collection_key = 'permissions';
+  /**
+   * The set of permissions to check for the `resource`. Permissions with
+   * wildcards (such as `*` or `storage.*`) are not allowed. For more
+   * information see [IAM
+   * Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   *
+   * @var string[]
+   */
+  public $permissions;
+
+  /**
+   * The set of permissions to check for the `resource`. Permissions with
+   * wildcards (such as `*` or `storage.*`) are not allowed. For more
+   * information see [IAM
+   * Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   *
+   * @param string[] $permissions
+   */
+  public function setPermissions($permissions)
+  {
+    $this->permissions = $permissions;
+  }
+  /**
+   * @return string[]
+   */
+  public function getPermissions()
+  {
+    return $this->permissions;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleIamV1TestIamPermissionsRequest::class, 'Google_Service_CloudMachineLearningEngine_GoogleIamV1TestIamPermissionsRequest');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleIamV1TestIamPermissionsResponse.php

@@ -0,0 +1,51 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleIamV1TestIamPermissionsResponse extends \Google\Collection
+{
+  protected $collection_key = 'permissions';
+  /**
+   * A subset of `TestPermissionsRequest.permissions` that the caller is
+   * allowed.
+   *
+   * @var string[]
+   */
+  public $permissions;
+
+  /**
+   * A subset of `TestPermissionsRequest.permissions` that the caller is
+   * allowed.
+   *
+   * @param string[] $permissions
+   */
+  public function setPermissions($permissions)
+  {
+    $this->permissions = $permissions;
+  }
+  /**
+   * @return string[]
+   */
+  public function getPermissions()
+  {
+    return $this->permissions;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleIamV1TestIamPermissionsResponse::class, 'Google_Service_CloudMachineLearningEngine_GoogleIamV1TestIamPermissionsResponse');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleLongrunningListOperationsResponse.php

@@ -0,0 +1,67 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleLongrunningListOperationsResponse extends \Google\Collection
+{
+  protected $collection_key = 'operations';
+  /**
+   * The standard List next-page token.
+   *
+   * @var string
+   */
+  public $nextPageToken;
+  protected $operationsType = GoogleLongrunningOperation::class;
+  protected $operationsDataType = 'array';
+
+  /**
+   * The standard List next-page token.
+   *
+   * @param string $nextPageToken
+   */
+  public function setNextPageToken($nextPageToken)
+  {
+    $this->nextPageToken = $nextPageToken;
+  }
+  /**
+   * @return string
+   */
+  public function getNextPageToken()
+  {
+    return $this->nextPageToken;
+  }
+  /**
+   * A list of operations that matches the specified filter in the request.
+   *
+   * @param GoogleLongrunningOperation[] $operations
+   */
+  public function setOperations($operations)
+  {
+    $this->operations = $operations;
+  }
+  /**
+   * @return GoogleLongrunningOperation[]
+   */
+  public function getOperations()
+  {
+    return $this->operations;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleLongrunningListOperationsResponse::class, 'Google_Service_CloudMachineLearningEngine_GoogleLongrunningListOperationsResponse');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleLongrunningOperation.php

@@ -0,0 +1,158 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleLongrunningOperation extends \Google\Model
+{
+  /**
+   * If the value is `false`, it means the operation is still in progress. If
+   * `true`, the operation is completed, and either `error` or `response` is
+   * available.
+   *
+   * @var bool
+   */
+  public $done;
+  protected $errorType = GoogleRpcStatus::class;
+  protected $errorDataType = '';
+  /**
+   * Service-specific metadata associated with the operation. It typically
+   * contains progress information and common metadata such as create time. Some
+   * services might not provide such metadata. Any method that returns a long-
+   * running operation should document the metadata type, if any.
+   *
+   * @var array[]
+   */
+  public $metadata;
+  /**
+   * The server-assigned name, which is only unique within the same service that
+   * originally returns it. If you use the default HTTP mapping, the `name`
+   * should be a resource name ending with `operations/{unique_id}`.
+   *
+   * @var string
+   */
+  public $name;
+  /**
+   * The normal, successful response of the operation. If the original method
+   * returns no data on success, such as `Delete`, the response is
+   * `google.protobuf.Empty`. If the original method is standard
+   * `Get`/`Create`/`Update`, the response should be the resource. For other
+   * methods, the response should have the type `XxxResponse`, where `Xxx` is
+   * the original method name. For example, if the original method name is
+   * `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+   *
+   * @var array[]
+   */
+  public $response;
+
+  /**
+   * If the value is `false`, it means the operation is still in progress. If
+   * `true`, the operation is completed, and either `error` or `response` is
+   * available.
+   *
+   * @param bool $done
+   */
+  public function setDone($done)
+  {
+    $this->done = $done;
+  }
+  /**
+   * @return bool
+   */
+  public function getDone()
+  {
+    return $this->done;
+  }
+  /**
+   * The error result of the operation in case of failure or cancellation.
+   *
+   * @param GoogleRpcStatus $error
+   */
+  public function setError(GoogleRpcStatus $error)
+  {
+    $this->error = $error;
+  }
+  /**
+   * @return GoogleRpcStatus
+   */
+  public function getError()
+  {
+    return $this->error;
+  }
+  /**
+   * Service-specific metadata associated with the operation. It typically
+   * contains progress information and common metadata such as create time. Some
+   * services might not provide such metadata. Any method that returns a long-
+   * running operation should document the metadata type, if any.
+   *
+   * @param array[] $metadata
+   */
+  public function setMetadata($metadata)
+  {
+    $this->metadata = $metadata;
+  }
+  /**
+   * @return array[]
+   */
+  public function getMetadata()
+  {
+    return $this->metadata;
+  }
+  /**
+   * The server-assigned name, which is only unique within the same service that
+   * originally returns it. If you use the default HTTP mapping, the `name`
+   * should be a resource name ending with `operations/{unique_id}`.
+   *
+   * @param string $name
+   */
+  public function setName($name)
+  {
+    $this->name = $name;
+  }
+  /**
+   * @return string
+   */
+  public function getName()
+  {
+    return $this->name;
+  }
+  /**
+   * The normal, successful response of the operation. If the original method
+   * returns no data on success, such as `Delete`, the response is
+   * `google.protobuf.Empty`. If the original method is standard
+   * `Get`/`Create`/`Update`, the response should be the resource. For other
+   * methods, the response should have the type `XxxResponse`, where `Xxx` is
+   * the original method name. For example, if the original method name is
+   * `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+   *
+   * @param array[] $response
+   */
+  public function setResponse($response)
+  {
+    $this->response = $response;
+  }
+  /**
+   * @return array[]
+   */
+  public function getResponse()
+  {
+    return $this->response;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleLongrunningOperation::class, 'Google_Service_CloudMachineLearningEngine_GoogleLongrunningOperation');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleProtobufEmpty.php

@@ -0,0 +1,25 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleProtobufEmpty extends \Google\Model
+{
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleProtobufEmpty::class, 'Google_Service_CloudMachineLearningEngine_GoogleProtobufEmpty');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleRpcStatus.php

@@ -0,0 +1,99 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleRpcStatus extends \Google\Collection
+{
+  protected $collection_key = 'details';
+  /**
+   * The status code, which should be an enum value of google.rpc.Code.
+   *
+   * @var int
+   */
+  public $code;
+  /**
+   * A list of messages that carry the error details. There is a common set of
+   * message types for APIs to use.
+   *
+   * @var array[]
+   */
+  public $details;
+  /**
+   * A developer-facing error message, which should be in English. Any user-
+   * facing error message should be localized and sent in the
+   * google.rpc.Status.details field, or localized by the client.
+   *
+   * @var string
+   */
+  public $message;
+
+  /**
+   * The status code, which should be an enum value of google.rpc.Code.
+   *
+   * @param int $code
+   */
+  public function setCode($code)
+  {
+    $this->code = $code;
+  }
+  /**
+   * @return int
+   */
+  public function getCode()
+  {
+    return $this->code;
+  }
+  /**
+   * A list of messages that carry the error details. There is a common set of
+   * message types for APIs to use.
+   *
+   * @param array[] $details
+   */
+  public function setDetails($details)
+  {
+    $this->details = $details;
+  }
+  /**
+   * @return array[]
+   */
+  public function getDetails()
+  {
+    return $this->details;
+  }
+  /**
+   * A developer-facing error message, which should be in English. Any user-
+   * facing error message should be localized and sent in the
+   * google.rpc.Status.details field, or localized by the client.
+   *
+   * @param string $message
+   */
+  public function setMessage($message)
+  {
+    $this->message = $message;
+  }
+  /**
+   * @return string
+   */
+  public function getMessage()
+  {
+    return $this->message;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleRpcStatus::class, 'Google_Service_CloudMachineLearningEngine_GoogleRpcStatus');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/GoogleTypeExpr.php

@@ -0,0 +1,122 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine;
+
+class GoogleTypeExpr extends \Google\Model
+{
+  /**
+   * Optional. Description of the expression. This is a longer text which
+   * describes the expression, e.g. when hovered over it in a UI.
+   *
+   * @var string
+   */
+  public $description;
+  /**
+   * Textual representation of an expression in Common Expression Language
+   * syntax.
+   *
+   * @var string
+   */
+  public $expression;
+  /**
+   * Optional. String indicating the location of the expression for error
+   * reporting, e.g. a file name and a position in the file.
+   *
+   * @var string
+   */
+  public $location;
+  /**
+   * Optional. Title for the expression, i.e. a short string describing its
+   * purpose. This can be used e.g. in UIs which allow to enter the expression.
+   *
+   * @var string
+   */
+  public $title;
+
+  /**
+   * Optional. Description of the expression. This is a longer text which
+   * describes the expression, e.g. when hovered over it in a UI.
+   *
+   * @param string $description
+   */
+  public function setDescription($description)
+  {
+    $this->description = $description;
+  }
+  /**
+   * @return string
+   */
+  public function getDescription()
+  {
+    return $this->description;
+  }
+  /**
+   * Textual representation of an expression in Common Expression Language
+   * syntax.
+   *
+   * @param string $expression
+   */
+  public function setExpression($expression)
+  {
+    $this->expression = $expression;
+  }
+  /**
+   * @return string
+   */
+  public function getExpression()
+  {
+    return $this->expression;
+  }
+  /**
+   * Optional. String indicating the location of the expression for error
+   * reporting, e.g. a file name and a position in the file.
+   *
+   * @param string $location
+   */
+  public function setLocation($location)
+  {
+    $this->location = $location;
+  }
+  /**
+   * @return string
+   */
+  public function getLocation()
+  {
+    return $this->location;
+  }
+  /**
+   * Optional. Title for the expression, i.e. a short string describing its
+   * purpose. This can be used e.g. in UIs which allow to enter the expression.
+   *
+   * @param string $title
+   */
+  public function setTitle($title)
+  {
+    $this->title = $title;
+  }
+  /**
+   * @return string
+   */
+  public function getTitle()
+  {
+    return $this->title;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleTypeExpr::class, 'Google_Service_CloudMachineLearningEngine_GoogleTypeExpr');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/Resource/Projects.php

@@ -0,0 +1,89 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine\Resource;
+
+use Google\Service\CloudMachineLearningEngine\GoogleApiHttpBody;
+use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1ExplainRequest;
+use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1GetConfigResponse;
+use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1PredictRequest;
+
+/**
+ * The "projects" collection of methods.
+ * Typical usage is:
+ *  <code>
+ *   $mlService = new Google\Service\CloudMachineLearningEngine(...);
+ *   $projects = $mlService->projects;
+ *  </code>
+ */
+class Projects extends \Google\Service\Resource
+{
+  /**
+   * Performs explanation on the data in the request. {% dynamic include "/ai-
+   * platform/includes/___explain-request" %}  (projects.explain)
+   *
+   * @param string $name Required. The resource name of a model or a version.
+   * Authorization: requires the `predict` permission on the specified resource.
+   * @param GoogleCloudMlV1ExplainRequest $postBody
+   * @param array $optParams Optional parameters.
+   * @return GoogleApiHttpBody
+   * @throws \Google\Service\Exception
+   */
+  public function explain($name, GoogleCloudMlV1ExplainRequest $postBody, $optParams = [])
+  {
+    $params = ['name' => $name, 'postBody' => $postBody];
+    $params = array_merge($params, $optParams);
+    return $this->call('explain', [$params], GoogleApiHttpBody::class);
+  }
+  /**
+   * Get the service account information associated with your project. You need
+   * this information in order to grant the service account permissions for the
+   * Google Cloud Storage location where you put your model training code for
+   * training the model with Google Cloud Machine Learning. (projects.getConfig)
+   *
+   * @param string $name Required. The project name.
+   * @param array $optParams Optional parameters.
+   * @return GoogleCloudMlV1GetConfigResponse
+   * @throws \Google\Service\Exception
+   */
+  public function getConfig($name, $optParams = [])
+  {
+    $params = ['name' => $name];
+    $params = array_merge($params, $optParams);
+    return $this->call('getConfig', [$params], GoogleCloudMlV1GetConfigResponse::class);
+  }
+  /**
+   * Performs online prediction on the data in the request. {% dynamic include
+   * "/ai-platform/includes/___predict-request" %}  (projects.predict)
+   *
+   * @param string $name Required. The resource name of a model or a version.
+   * Authorization: requires the `predict` permission on the specified resource.
+   * @param GoogleCloudMlV1PredictRequest $postBody
+   * @param array $optParams Optional parameters.
+   * @return GoogleApiHttpBody
+   * @throws \Google\Service\Exception
+   */
+  public function predict($name, GoogleCloudMlV1PredictRequest $postBody, $optParams = [])
+  {
+    $params = ['name' => $name, 'postBody' => $postBody];
+    $params = array_merge($params, $optParams);
+    return $this->call('predict', [$params], GoogleApiHttpBody::class);
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(Projects::class, 'Google_Service_CloudMachineLearningEngine_Resource_Projects');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/Resource/ProjectsJobs.php

@@ -0,0 +1,218 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine\Resource;
+
+use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1CancelJobRequest;
+use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1Job;
+use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1ListJobsResponse;
+use Google\Service\CloudMachineLearningEngine\GoogleIamV1Policy;
+use Google\Service\CloudMachineLearningEngine\GoogleIamV1SetIamPolicyRequest;
+use Google\Service\CloudMachineLearningEngine\GoogleIamV1TestIamPermissionsRequest;
+use Google\Service\CloudMachineLearningEngine\GoogleIamV1TestIamPermissionsResponse;
+use Google\Service\CloudMachineLearningEngine\GoogleProtobufEmpty;
+
+/**
+ * The "jobs" collection of methods.
+ * Typical usage is:
+ *  <code>
+ *   $mlService = new Google\Service\CloudMachineLearningEngine(...);
+ *   $jobs = $mlService->projects_jobs;
+ *  </code>
+ */
+class ProjectsJobs extends \Google\Service\Resource
+{
+  /**
+   * Cancels a running job. (jobs.cancel)
+   *
+   * @param string $name Required. The name of the job to cancel.
+   * @param GoogleCloudMlV1CancelJobRequest $postBody
+   * @param array $optParams Optional parameters.
+   * @return GoogleProtobufEmpty
+   * @throws \Google\Service\Exception
+   */
+  public function cancel($name, GoogleCloudMlV1CancelJobRequest $postBody, $optParams = [])
+  {
+    $params = ['name' => $name, 'postBody' => $postBody];
+    $params = array_merge($params, $optParams);
+    return $this->call('cancel', [$params], GoogleProtobufEmpty::class);
+  }
+  /**
+   * Creates a training or a batch prediction job. (jobs.create)
+   *
+   * @param string $parent Required. The project name.
+   * @param GoogleCloudMlV1Job $postBody
+   * @param array $optParams Optional parameters.
+   * @return GoogleCloudMlV1Job
+   * @throws \Google\Service\Exception
+   */
+  public function create($parent, GoogleCloudMlV1Job $postBody, $optParams = [])
+  {
+    $params = ['parent' => $parent, 'postBody' => $postBody];
+    $params = array_merge($params, $optParams);
+    return $this->call('create', [$params], GoogleCloudMlV1Job::class);
+  }
+  /**
+   * Describes a job. (jobs.get)
+   *
+   * @param string $name Required. The name of the job to get the description of.
+   * @param array $optParams Optional parameters.
+   * @return GoogleCloudMlV1Job
+   * @throws \Google\Service\Exception
+   */
+  public function get($name, $optParams = [])
+  {
+    $params = ['name' => $name];
+    $params = array_merge($params, $optParams);
+    return $this->call('get', [$params], GoogleCloudMlV1Job::class);
+  }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy if the
+   * resource exists and does not have a policy set. (jobs.getIamPolicy)
+   *
+   * @param string $resource REQUIRED: The resource for which the policy is being
+   * requested. See [Resource
+   * names](https://cloud.google.com/apis/design/resource_names) for the
+   * appropriate value for this field.
+   * @param array $optParams Optional parameters.
+   *
+   * @opt_param int options.requestedPolicyVersion Optional. The maximum policy
+   * version that will be used to format the policy. Valid values are 0, 1, and 3.
+   * Requests specifying an invalid value will be rejected. Requests for policies
+   * with any conditional role bindings must specify version 3. Policies with no
+   * conditional role bindings may specify any valid value or leave the field
+   * unset. The policy in the response might use the policy version that you
+   * specified, or it might use a lower policy version. For example, if you
+   * specify version 3, but the policy has no conditional role bindings, the
+   * response uses version 1. To learn which resources support conditions in their
+   * IAM policies, see the [IAM
+   * documentation](https://cloud.google.com/iam/help/conditions/resource-
+   * policies).
+   * @return GoogleIamV1Policy
+   * @throws \Google\Service\Exception
+   */
+  public function getIamPolicy($resource, $optParams = [])
+  {
+    $params = ['resource' => $resource];
+    $params = array_merge($params, $optParams);
+    return $this->call('getIamPolicy', [$params], GoogleIamV1Policy::class);
+  }
+  /**
+   * Lists the jobs in the project. If there are no jobs that match the request
+   * parameters, the list request returns an empty response body: {}.
+   * (jobs.listProjectsJobs)
+   *
+   * @param string $parent Required. The name of the project for which to list
+   * jobs.
+   * @param array $optParams Optional parameters.
+   *
+   * @opt_param string filter Optional. Specifies the subset of jobs to retrieve.
+   * You can filter on the value of one or more attributes of the job object. For
+   * example, retrieve jobs with a job identifier that starts with 'census':
+   * gcloud ai-platform jobs list --filter='jobId:census*' List all failed jobs
+   * with names that start with 'rnn': gcloud ai-platform jobs list
+   * --filter='jobId:rnn* AND state:FAILED' For more examples, see the guide to
+   * monitoring jobs.
+   * @opt_param int pageSize Optional. The number of jobs to retrieve per "page"
+   * of results. If there are more remaining results than this number, the
+   * response message will contain a valid value in the `next_page_token` field.
+   * The default value is 20, and the maximum page size is 100.
+   * @opt_param string pageToken Optional. A page token to request the next page
+   * of results. You get the token from the `next_page_token` field of the
+   * response from the previous call.
+   * @return GoogleCloudMlV1ListJobsResponse
+   * @throws \Google\Service\Exception
+   */
+  public function listProjectsJobs($parent, $optParams = [])
+  {
+    $params = ['parent' => $parent];
+    $params = array_merge($params, $optParams);
+    return $this->call('list', [$params], GoogleCloudMlV1ListJobsResponse::class);
+  }
+  /**
+   * Updates a specific job resource. Currently the only supported fields to
+   * update are `labels`. (jobs.patch)
+   *
+   * @param string $name Required. The job name.
+   * @param GoogleCloudMlV1Job $postBody
+   * @param array $optParams Optional parameters.
+   *
+   * @opt_param string updateMask Required. Specifies the path, relative to `Job`,
+   * of the field to update. To adopt etag mechanism, include `etag` field in the
+   * mask, and include the `etag` value in your job resource. For example, to
+   * change the labels of a job, the `update_mask` parameter would be specified as
+   * `labels`, `etag`, and the `PATCH` request body would specify the new value,
+   * as follows: { "labels": { "owner": "Google", "color": "Blue" } "etag":
+   * "33a64df551425fcc55e4d42a148795d9f25f89d4" } If `etag` matches the one on the
+   * server, the labels of the job will be replaced with the given ones, and the
+   * server end `etag` will be recalculated. Currently the only supported update
+   * masks are `labels` and `etag`.
+   * @return GoogleCloudMlV1Job
+   * @throws \Google\Service\Exception
+   */
+  public function patch($name, GoogleCloudMlV1Job $postBody, $optParams = [])
+  {
+    $params = ['name' => $name, 'postBody' => $postBody];
+    $params = array_merge($params, $optParams);
+    return $this->call('patch', [$params], GoogleCloudMlV1Job::class);
+  }
+  /**
+   * Sets the access control policy on the specified resource. Replaces any
+   * existing policy. Can return `NOT_FOUND`, `INVALID_ARGUMENT`, and
+   * `PERMISSION_DENIED` errors. (jobs.setIamPolicy)
+   *
+   * @param string $resource REQUIRED: The resource for which the policy is being
+   * specified. See [Resource
+   * names](https://cloud.google.com/apis/design/resource_names) for the
+   * appropriate value for this field.
+   * @param GoogleIamV1SetIamPolicyRequest $postBody
+   * @param array $optParams Optional parameters.
+   * @return GoogleIamV1Policy
+   * @throws \Google\Service\Exception
+   */
+  public function setIamPolicy($resource, GoogleIamV1SetIamPolicyRequest $postBody, $optParams = [])
+  {
+    $params = ['resource' => $resource, 'postBody' => $postBody];
+    $params = array_merge($params, $optParams);
+    return $this->call('setIamPolicy', [$params], GoogleIamV1Policy::class);
+  }
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of permissions, not a
+   * `NOT_FOUND` error. Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization checking.
+   * This operation may "fail open" without warning. (jobs.testIamPermissions)
+   *
+   * @param string $resource REQUIRED: The resource for which the policy detail is
+   * being requested. See [Resource
+   * names](https://cloud.google.com/apis/design/resource_names) for the
+   * appropriate value for this field.
+   * @param GoogleIamV1TestIamPermissionsRequest $postBody
+   * @param array $optParams Optional parameters.
+   * @return GoogleIamV1TestIamPermissionsResponse
+   * @throws \Google\Service\Exception
+   */
+  public function testIamPermissions($resource, GoogleIamV1TestIamPermissionsRequest $postBody, $optParams = [])
+  {
+    $params = ['resource' => $resource, 'postBody' => $postBody];
+    $params = array_merge($params, $optParams);
+    return $this->call('testIamPermissions', [$params], GoogleIamV1TestIamPermissionsResponse::class);
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(ProjectsJobs::class, 'Google_Service_CloudMachineLearningEngine_Resource_ProjectsJobs');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/Resource/ProjectsLocations.php

@@ -0,0 +1,76 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine\Resource;
+
+use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1ListLocationsResponse;
+use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1Location;
+
+/**
+ * The "locations" collection of methods.
+ * Typical usage is:
+ *  <code>
+ *   $mlService = new Google\Service\CloudMachineLearningEngine(...);
+ *   $locations = $mlService->projects_locations;
+ *  </code>
+ */
+class ProjectsLocations extends \Google\Service\Resource
+{
+  /**
+   * Get the complete list of CMLE capabilities in a location, along with their
+   * location-specific properties. (locations.get)
+   *
+   * @param string $name Required. The name of the location.
+   * @param array $optParams Optional parameters.
+   * @return GoogleCloudMlV1Location
+   * @throws \Google\Service\Exception
+   */
+  public function get($name, $optParams = [])
+  {
+    $params = ['name' => $name];
+    $params = array_merge($params, $optParams);
+    return $this->call('get', [$params], GoogleCloudMlV1Location::class);
+  }
+  /**
+   * List all locations that provides at least one type of CMLE capability.
+   * (locations.listProjectsLocations)
+   *
+   * @param string $parent Required. The name of the project for which available
+   * locations are to be listed (since some locations might be whitelisted for
+   * specific projects).
+   * @param array $optParams Optional parameters.
+   *
+   * @opt_param int pageSize Optional. The number of locations to retrieve per
+   * "page" of results. If there are more remaining results than this number, the
+   * response message will contain a valid value in the `next_page_token` field.
+   * The default value is 20, and the maximum page size is 100.
+   * @opt_param string pageToken Optional. A page token to request the next page
+   * of results. You get the token from the `next_page_token` field of the
+   * response from the previous call.
+   * @return GoogleCloudMlV1ListLocationsResponse
+   * @throws \Google\Service\Exception
+   */
+  public function listProjectsLocations($parent, $optParams = [])
+  {
+    $params = ['parent' => $parent];
+    $params = array_merge($params, $optParams);
+    return $this->call('list', [$params], GoogleCloudMlV1ListLocationsResponse::class);
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(ProjectsLocations::class, 'Google_Service_CloudMachineLearningEngine_Resource_ProjectsLocations');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/Resource/ProjectsLocationsOperations.php

@@ -0,0 +1,74 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine\Resource;
+
+use Google\Service\CloudMachineLearningEngine\GoogleLongrunningOperation;
+use Google\Service\CloudMachineLearningEngine\GoogleProtobufEmpty;
+
+/**
+ * The "operations" collection of methods.
+ * Typical usage is:
+ *  <code>
+ *   $mlService = new Google\Service\CloudMachineLearningEngine(...);
+ *   $operations = $mlService->projects_locations_operations;
+ *  </code>
+ */
+class ProjectsLocationsOperations extends \Google\Service\Resource
+{
+  /**
+   * Starts asynchronous cancellation on a long-running operation. The server
+   * makes a best effort to cancel the operation, but success is not guaranteed.
+   * If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation, the
+   * operation is not deleted; instead, it becomes an operation with an
+   * Operation.error value with a google.rpc.Status.code of `1`, corresponding to
+   * `Code.CANCELLED`. (operations.cancel)
+   *
+   * @param string $name The name of the operation resource to be cancelled.
+   * @param array $optParams Optional parameters.
+   * @return GoogleProtobufEmpty
+   * @throws \Google\Service\Exception
+   */
+  public function cancel($name, $optParams = [])
+  {
+    $params = ['name' => $name];
+    $params = array_merge($params, $optParams);
+    return $this->call('cancel', [$params], GoogleProtobufEmpty::class);
+  }
+  /**
+   * Gets the latest state of a long-running operation. Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service. (operations.get)
+   *
+   * @param string $name The name of the operation resource.
+   * @param array $optParams Optional parameters.
+   * @return GoogleLongrunningOperation
+   * @throws \Google\Service\Exception
+   */
+  public function get($name, $optParams = [])
+  {
+    $params = ['name' => $name];
+    $params = array_merge($params, $optParams);
+    return $this->call('get', [$params], GoogleLongrunningOperation::class);
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(ProjectsLocationsOperations::class, 'Google_Service_CloudMachineLearningEngine_Resource_ProjectsLocationsOperations');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/Resource/ProjectsLocationsStudies.php

@@ -0,0 +1,100 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine\Resource;
+
+use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1ListStudiesResponse;
+use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1Study;
+use Google\Service\CloudMachineLearningEngine\GoogleProtobufEmpty;
+
+/**
+ * The "studies" collection of methods.
+ * Typical usage is:
+ *  <code>
+ *   $mlService = new Google\Service\CloudMachineLearningEngine(...);
+ *   $studies = $mlService->projects_locations_studies;
+ *  </code>
+ */
+class ProjectsLocationsStudies extends \Google\Service\Resource
+{
+  /**
+   * Creates a study. (studies.create)
+   *
+   * @param string $parent Required. The project and location that the study
+   * belongs to. Format: projects/{project}/locations/{location}
+   * @param GoogleCloudMlV1Study $postBody
+   * @param array $optParams Optional parameters.
+   *
+   * @opt_param string studyId Required. The ID to use for the study, which will
+   * become the final component of the study's resource name.
+   * @return GoogleCloudMlV1Study
+   * @throws \Google\Service\Exception
+   */
+  public function create($parent, GoogleCloudMlV1Study $postBody, $optParams = [])
+  {
+    $params = ['parent' => $parent, 'postBody' => $postBody];
+    $params = array_merge($params, $optParams);
+    return $this->call('create', [$params], GoogleCloudMlV1Study::class);
+  }
+  /**
+   * Deletes a study. (studies.delete)
+   *
+   * @param string $name Required. The study name.
+   * @param array $optParams Optional parameters.
+   * @return GoogleProtobufEmpty
+   * @throws \Google\Service\Exception
+   */
+  public function delete($name, $optParams = [])
+  {
+    $params = ['name' => $name];
+    $params = array_merge($params, $optParams);
+    return $this->call('delete', [$params], GoogleProtobufEmpty::class);
+  }
+  /**
+   * Gets a study. (studies.get)
+   *
+   * @param string $name Required. The study name.
+   * @param array $optParams Optional parameters.
+   * @return GoogleCloudMlV1Study
+   * @throws \Google\Service\Exception
+   */
+  public function get($name, $optParams = [])
+  {
+    $params = ['name' => $name];
+    $params = array_merge($params, $optParams);
+    return $this->call('get', [$params], GoogleCloudMlV1Study::class);
+  }
+  /**
+   * Lists all the studies in a region for an associated project.
+   * (studies.listProjectsLocationsStudies)
+   *
+   * @param string $parent Required. The project and location that the study
+   * belongs to. Format: projects/{project}/locations/{location}
+   * @param array $optParams Optional parameters.
+   * @return GoogleCloudMlV1ListStudiesResponse
+   * @throws \Google\Service\Exception
+   */
+  public function listProjectsLocationsStudies($parent, $optParams = [])
+  {
+    $params = ['parent' => $parent];
+    $params = array_merge($params, $optParams);
+    return $this->call('list', [$params], GoogleCloudMlV1ListStudiesResponse::class);
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(ProjectsLocationsStudies::class, 'Google_Service_CloudMachineLearningEngine_Resource_ProjectsLocationsStudies');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/Resource/ProjectsLocationsStudiesTrials.php

@@ -0,0 +1,207 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine\Resource;
+
+use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1AddTrialMeasurementRequest;
+use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1CheckTrialEarlyStoppingStateRequest;
+use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1CompleteTrialRequest;
+use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1ListOptimalTrialsRequest;
+use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1ListOptimalTrialsResponse;
+use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1ListTrialsResponse;
+use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1StopTrialRequest;
+use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1SuggestTrialsRequest;
+use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1Trial;
+use Google\Service\CloudMachineLearningEngine\GoogleLongrunningOperation;
+use Google\Service\CloudMachineLearningEngine\GoogleProtobufEmpty;
+
+/**
+ * The "trials" collection of methods.
+ * Typical usage is:
+ *  <code>
+ *   $mlService = new Google\Service\CloudMachineLearningEngine(...);
+ *   $trials = $mlService->projects_locations_studies_trials;
+ *  </code>
+ */
+class ProjectsLocationsStudiesTrials extends \Google\Service\Resource
+{
+  /**
+   * Adds a measurement of the objective metrics to a trial. This measurement is
+   * assumed to have been taken before the trial is complete.
+   * (trials.addMeasurement)
+   *
+   * @param string $name Required. The trial name.
+   * @param GoogleCloudMlV1AddTrialMeasurementRequest $postBody
+   * @param array $optParams Optional parameters.
+   * @return GoogleCloudMlV1Trial
+   * @throws \Google\Service\Exception
+   */
+  public function addMeasurement($name, GoogleCloudMlV1AddTrialMeasurementRequest $postBody, $optParams = [])
+  {
+    $params = ['name' => $name, 'postBody' => $postBody];
+    $params = array_merge($params, $optParams);
+    return $this->call('addMeasurement', [$params], GoogleCloudMlV1Trial::class);
+  }
+  /**
+   * Checks whether a trial should stop or not. Returns a long-running operation.
+   * When the operation is successful, it will contain a
+   * CheckTrialEarlyStoppingStateResponse. (trials.checkEarlyStoppingState)
+   *
+   * @param string $name Required. The trial name.
+   * @param GoogleCloudMlV1CheckTrialEarlyStoppingStateRequest $postBody
+   * @param array $optParams Optional parameters.
+   * @return GoogleLongrunningOperation
+   * @throws \Google\Service\Exception
+   */
+  public function checkEarlyStoppingState($name, GoogleCloudMlV1CheckTrialEarlyStoppingStateRequest $postBody, $optParams = [])
+  {
+    $params = ['name' => $name, 'postBody' => $postBody];
+    $params = array_merge($params, $optParams);
+    return $this->call('checkEarlyStoppingState', [$params], GoogleLongrunningOperation::class);
+  }
+  /**
+   * Marks a trial as complete. (trials.complete)
+   *
+   * @param string $name Required. The trial name.metat
+   * @param GoogleCloudMlV1CompleteTrialRequest $postBody
+   * @param array $optParams Optional parameters.
+   * @return GoogleCloudMlV1Trial
+   * @throws \Google\Service\Exception
+   */
+  public function complete($name, GoogleCloudMlV1CompleteTrialRequest $postBody, $optParams = [])
+  {
+    $params = ['name' => $name, 'postBody' => $postBody];
+    $params = array_merge($params, $optParams);
+    return $this->call('complete', [$params], GoogleCloudMlV1Trial::class);
+  }
+  /**
+   * Adds a user provided trial to a study. (trials.create)
+   *
+   * @param string $parent Required. The name of the study that the trial belongs
+   * to.
+   * @param GoogleCloudMlV1Trial $postBody
+   * @param array $optParams Optional parameters.
+   * @return GoogleCloudMlV1Trial
+   * @throws \Google\Service\Exception
+   */
+  public function create($parent, GoogleCloudMlV1Trial $postBody, $optParams = [])
+  {
+    $params = ['parent' => $parent, 'postBody' => $postBody];
+    $params = array_merge($params, $optParams);
+    return $this->call('create', [$params], GoogleCloudMlV1Trial::class);
+  }
+  /**
+   * Deletes a trial. (trials.delete)
+   *
+   * @param string $name Required. The trial name.
+   * @param array $optParams Optional parameters.
+   * @return GoogleProtobufEmpty
+   * @throws \Google\Service\Exception
+   */
+  public function delete($name, $optParams = [])
+  {
+    $params = ['name' => $name];
+    $params = array_merge($params, $optParams);
+    return $this->call('delete', [$params], GoogleProtobufEmpty::class);
+  }
+  /**
+   * Gets a trial. (trials.get)
+   *
+   * @param string $name Required. The trial name.
+   * @param array $optParams Optional parameters.
+   * @return GoogleCloudMlV1Trial
+   * @throws \Google\Service\Exception
+   */
+  public function get($name, $optParams = [])
+  {
+    $params = ['name' => $name];
+    $params = array_merge($params, $optParams);
+    return $this->call('get', [$params], GoogleCloudMlV1Trial::class);
+  }
+  /**
+   * Lists the trials associated with a study.
+   * (trials.listProjectsLocationsStudiesTrials)
+   *
+   * @param string $parent Required. The name of the study that the trial belongs
+   * to.
+   * @param array $optParams Optional parameters.
+   * @return GoogleCloudMlV1ListTrialsResponse
+   * @throws \Google\Service\Exception
+   */
+  public function listProjectsLocationsStudiesTrials($parent, $optParams = [])
+  {
+    $params = ['parent' => $parent];
+    $params = array_merge($params, $optParams);
+    return $this->call('list', [$params], GoogleCloudMlV1ListTrialsResponse::class);
+  }
+  /**
+   * Lists the pareto-optimal trials for multi-objective study or the optimal
+   * trials for single-objective study. The definition of pareto-optimal can be
+   * checked in wiki page. https://en.wikipedia.org/wiki/Pareto_efficiency
+   * (trials.listOptimalTrials)
+   *
+   * @param string $parent Required. The name of the study that the pareto-optimal
+   * trial belongs to.
+   * @param GoogleCloudMlV1ListOptimalTrialsRequest $postBody
+   * @param array $optParams Optional parameters.
+   * @return GoogleCloudMlV1ListOptimalTrialsResponse
+   * @throws \Google\Service\Exception
+   */
+  public function listOptimalTrials($parent, GoogleCloudMlV1ListOptimalTrialsRequest $postBody, $optParams = [])
+  {
+    $params = ['parent' => $parent, 'postBody' => $postBody];
+    $params = array_merge($params, $optParams);
+    return $this->call('listOptimalTrials', [$params], GoogleCloudMlV1ListOptimalTrialsResponse::class);
+  }
+  /**
+   * Stops a trial. (trials.stop)
+   *
+   * @param string $name Required. The trial name.
+   * @param GoogleCloudMlV1StopTrialRequest $postBody
+   * @param array $optParams Optional parameters.
+   * @return GoogleCloudMlV1Trial
+   * @throws \Google\Service\Exception
+   */
+  public function stop($name, GoogleCloudMlV1StopTrialRequest $postBody, $optParams = [])
+  {
+    $params = ['name' => $name, 'postBody' => $postBody];
+    $params = array_merge($params, $optParams);
+    return $this->call('stop', [$params], GoogleCloudMlV1Trial::class);
+  }
+  /**
+   * Adds one or more trials to a study, with parameter values suggested by AI
+   * Platform Vizier. Returns a long-running operation associated with the
+   * generation of trial suggestions. When this long-running operation succeeds,
+   * it will contain a SuggestTrialsResponse. (trials.suggest)
+   *
+   * @param string $parent Required. The name of the study that the trial belongs
+   * to.
+   * @param GoogleCloudMlV1SuggestTrialsRequest $postBody
+   * @param array $optParams Optional parameters.
+   * @return GoogleLongrunningOperation
+   * @throws \Google\Service\Exception
+   */
+  public function suggest($parent, GoogleCloudMlV1SuggestTrialsRequest $postBody, $optParams = [])
+  {
+    $params = ['parent' => $parent, 'postBody' => $postBody];
+    $params = array_merge($params, $optParams);
+    return $this->call('suggest', [$params], GoogleLongrunningOperation::class);
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(ProjectsLocationsStudiesTrials::class, 'Google_Service_CloudMachineLearningEngine_Resource_ProjectsLocationsStudiesTrials');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/Resource/ProjectsModels.php

@@ -0,0 +1,215 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine\Resource;
+
+use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1ListModelsResponse;
+use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1Model;
+use Google\Service\CloudMachineLearningEngine\GoogleIamV1Policy;
+use Google\Service\CloudMachineLearningEngine\GoogleIamV1SetIamPolicyRequest;
+use Google\Service\CloudMachineLearningEngine\GoogleIamV1TestIamPermissionsRequest;
+use Google\Service\CloudMachineLearningEngine\GoogleIamV1TestIamPermissionsResponse;
+use Google\Service\CloudMachineLearningEngine\GoogleLongrunningOperation;
+
+/**
+ * The "models" collection of methods.
+ * Typical usage is:
+ *  <code>
+ *   $mlService = new Google\Service\CloudMachineLearningEngine(...);
+ *   $models = $mlService->projects_models;
+ *  </code>
+ */
+class ProjectsModels extends \Google\Service\Resource
+{
+  /**
+   * Creates a model which will later contain one or more versions. You must add
+   * at least one version before you can request predictions from the model. Add
+   * versions by calling projects.models.versions.create. (models.create)
+   *
+   * @param string $parent Required. The project name.
+   * @param GoogleCloudMlV1Model $postBody
+   * @param array $optParams Optional parameters.
+   * @return GoogleCloudMlV1Model
+   * @throws \Google\Service\Exception
+   */
+  public function create($parent, GoogleCloudMlV1Model $postBody, $optParams = [])
+  {
+    $params = ['parent' => $parent, 'postBody' => $postBody];
+    $params = array_merge($params, $optParams);
+    return $this->call('create', [$params], GoogleCloudMlV1Model::class);
+  }
+  /**
+   * Deletes a model. You can only delete a model if there are no versions in it.
+   * You can delete versions by calling projects.models.versions.delete.
+   * (models.delete)
+   *
+   * @param string $name Required. The name of the model.
+   * @param array $optParams Optional parameters.
+   * @return GoogleLongrunningOperation
+   * @throws \Google\Service\Exception
+   */
+  public function delete($name, $optParams = [])
+  {
+    $params = ['name' => $name];
+    $params = array_merge($params, $optParams);
+    return $this->call('delete', [$params], GoogleLongrunningOperation::class);
+  }
+  /**
+   * Gets information about a model, including its name, the description (if set),
+   * and the default version (if at least one version of the model has been
+   * deployed). (models.get)
+   *
+   * @param string $name Required. The name of the model.
+   * @param array $optParams Optional parameters.
+   * @return GoogleCloudMlV1Model
+   * @throws \Google\Service\Exception
+   */
+  public function get($name, $optParams = [])
+  {
+    $params = ['name' => $name];
+    $params = array_merge($params, $optParams);
+    return $this->call('get', [$params], GoogleCloudMlV1Model::class);
+  }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy if the
+   * resource exists and does not have a policy set. (models.getIamPolicy)
+   *
+   * @param string $resource REQUIRED: The resource for which the policy is being
+   * requested. See [Resource
+   * names](https://cloud.google.com/apis/design/resource_names) for the
+   * appropriate value for this field.
+   * @param array $optParams Optional parameters.
+   *
+   * @opt_param int options.requestedPolicyVersion Optional. The maximum policy
+   * version that will be used to format the policy. Valid values are 0, 1, and 3.
+   * Requests specifying an invalid value will be rejected. Requests for policies
+   * with any conditional role bindings must specify version 3. Policies with no
+   * conditional role bindings may specify any valid value or leave the field
+   * unset. The policy in the response might use the policy version that you
+   * specified, or it might use a lower policy version. For example, if you
+   * specify version 3, but the policy has no conditional role bindings, the
+   * response uses version 1. To learn which resources support conditions in their
+   * IAM policies, see the [IAM
+   * documentation](https://cloud.google.com/iam/help/conditions/resource-
+   * policies).
+   * @return GoogleIamV1Policy
+   * @throws \Google\Service\Exception
+   */
+  public function getIamPolicy($resource, $optParams = [])
+  {
+    $params = ['resource' => $resource];
+    $params = array_merge($params, $optParams);
+    return $this->call('getIamPolicy', [$params], GoogleIamV1Policy::class);
+  }
+  /**
+   * Lists the models in a project. Each project can contain multiple models, and
+   * each model can have multiple versions. If there are no models that match the
+   * request parameters, the list request returns an empty response body: {}.
+   * (models.listProjectsModels)
+   *
+   * @param string $parent Required. The name of the project whose models are to
+   * be listed.
+   * @param array $optParams Optional parameters.
+   *
+   * @opt_param string filter Optional. Specifies the subset of models to
+   * retrieve.
+   * @opt_param int pageSize Optional. The number of models to retrieve per "page"
+   * of results. If there are more remaining results than this number, the
+   * response message will contain a valid value in the `next_page_token` field.
+   * The default value is 20, and the maximum page size is 100.
+   * @opt_param string pageToken Optional. A page token to request the next page
+   * of results. You get the token from the `next_page_token` field of the
+   * response from the previous call.
+   * @return GoogleCloudMlV1ListModelsResponse
+   * @throws \Google\Service\Exception
+   */
+  public function listProjectsModels($parent, $optParams = [])
+  {
+    $params = ['parent' => $parent];
+    $params = array_merge($params, $optParams);
+    return $this->call('list', [$params], GoogleCloudMlV1ListModelsResponse::class);
+  }
+  /**
+   * Updates a specific model resource. Currently the only supported fields to
+   * update are `description` and `default_version.name`. (models.patch)
+   *
+   * @param string $name Required. The project name.
+   * @param GoogleCloudMlV1Model $postBody
+   * @param array $optParams Optional parameters.
+   *
+   * @opt_param string updateMask Required. Specifies the path, relative to
+   * `Model`, of the field to update. For example, to change the description of a
+   * model to "foo" and set its default version to "version_1", the `update_mask`
+   * parameter would be specified as `description`, `default_version.name`, and
+   * the `PATCH` request body would specify the new value, as follows: {
+   * "description": "foo", "defaultVersion": { "name":"version_1" } } Currently
+   * the supported update masks are `description` and `default_version.name`.
+   * @return GoogleLongrunningOperation
+   * @throws \Google\Service\Exception
+   */
+  public function patch($name, GoogleCloudMlV1Model $postBody, $optParams = [])
+  {
+    $params = ['name' => $name, 'postBody' => $postBody];
+    $params = array_merge($params, $optParams);
+    return $this->call('patch', [$params], GoogleLongrunningOperation::class);
+  }
+  /**
+   * Sets the access control policy on the specified resource. Replaces any
+   * existing policy. Can return `NOT_FOUND`, `INVALID_ARGUMENT`, and
+   * `PERMISSION_DENIED` errors. (models.setIamPolicy)
+   *
+   * @param string $resource REQUIRED: The resource for which the policy is being
+   * specified. See [Resource
+   * names](https://cloud.google.com/apis/design/resource_names) for the
+   * appropriate value for this field.
+   * @param GoogleIamV1SetIamPolicyRequest $postBody
+   * @param array $optParams Optional parameters.
+   * @return GoogleIamV1Policy
+   * @throws \Google\Service\Exception
+   */
+  public function setIamPolicy($resource, GoogleIamV1SetIamPolicyRequest $postBody, $optParams = [])
+  {
+    $params = ['resource' => $resource, 'postBody' => $postBody];
+    $params = array_merge($params, $optParams);
+    return $this->call('setIamPolicy', [$params], GoogleIamV1Policy::class);
+  }
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of permissions, not a
+   * `NOT_FOUND` error. Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization checking.
+   * This operation may "fail open" without warning. (models.testIamPermissions)
+   *
+   * @param string $resource REQUIRED: The resource for which the policy detail is
+   * being requested. See [Resource
+   * names](https://cloud.google.com/apis/design/resource_names) for the
+   * appropriate value for this field.
+   * @param GoogleIamV1TestIamPermissionsRequest $postBody
+   * @param array $optParams Optional parameters.
+   * @return GoogleIamV1TestIamPermissionsResponse
+   * @throws \Google\Service\Exception
+   */
+  public function testIamPermissions($resource, GoogleIamV1TestIamPermissionsRequest $postBody, $optParams = [])
+  {
+    $params = ['resource' => $resource, 'postBody' => $postBody];
+    $params = array_merge($params, $optParams);
+    return $this->call('testIamPermissions', [$params], GoogleIamV1TestIamPermissionsResponse::class);
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(ProjectsModels::class, 'Google_Service_CloudMachineLearningEngine_Resource_ProjectsModels');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/Resource/ProjectsModelsVersions.php

@@ -0,0 +1,172 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine\Resource;
+
+use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1ListVersionsResponse;
+use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1SetDefaultVersionRequest;
+use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1Version;
+use Google\Service\CloudMachineLearningEngine\GoogleLongrunningOperation;
+
+/**
+ * The "versions" collection of methods.
+ * Typical usage is:
+ *  <code>
+ *   $mlService = new Google\Service\CloudMachineLearningEngine(...);
+ *   $versions = $mlService->projects_models_versions;
+ *  </code>
+ */
+class ProjectsModelsVersions extends \Google\Service\Resource
+{
+  /**
+   * Creates a new version of a model from a trained TensorFlow model. If the
+   * version created in the cloud by this call is the first deployed version of
+   * the specified model, it will be made the default version of the model. When
+   * you add a version to a model that already has one or more versions, the
+   * default version does not automatically change. If you want a new version to
+   * be the default, you must call projects.models.versions.setDefault.
+   * (versions.create)
+   *
+   * @param string $parent Required. The name of the model.
+   * @param GoogleCloudMlV1Version $postBody
+   * @param array $optParams Optional parameters.
+   * @return GoogleLongrunningOperation
+   * @throws \Google\Service\Exception
+   */
+  public function create($parent, GoogleCloudMlV1Version $postBody, $optParams = [])
+  {
+    $params = ['parent' => $parent, 'postBody' => $postBody];
+    $params = array_merge($params, $optParams);
+    return $this->call('create', [$params], GoogleLongrunningOperation::class);
+  }
+  /**
+   * Deletes a model version. Each model can have multiple versions deployed and
+   * in use at any given time. Use this method to remove a single version. Note:
+   * You cannot delete the version that is set as the default version of the model
+   * unless it is the only remaining version. (versions.delete)
+   *
+   * @param string $name Required. The name of the version. You can get the names
+   * of all the versions of a model by calling projects.models.versions.list.
+   * @param array $optParams Optional parameters.
+   * @return GoogleLongrunningOperation
+   * @throws \Google\Service\Exception
+   */
+  public function delete($name, $optParams = [])
+  {
+    $params = ['name' => $name];
+    $params = array_merge($params, $optParams);
+    return $this->call('delete', [$params], GoogleLongrunningOperation::class);
+  }
+  /**
+   * Gets information about a model version. Models can have multiple versions.
+   * You can call projects.models.versions.list to get the same information that
+   * this method returns for all of the versions of a model. (versions.get)
+   *
+   * @param string $name Required. The name of the version.
+   * @param array $optParams Optional parameters.
+   * @return GoogleCloudMlV1Version
+   * @throws \Google\Service\Exception
+   */
+  public function get($name, $optParams = [])
+  {
+    $params = ['name' => $name];
+    $params = array_merge($params, $optParams);
+    return $this->call('get', [$params], GoogleCloudMlV1Version::class);
+  }
+  /**
+   * Gets basic information about all the versions of a model. If you expect that
+   * a model has many versions, or if you need to handle only a limited number of
+   * results at a time, you can request that the list be retrieved in batches
+   * (called pages). If there are no versions that match the request parameters,
+   * the list request returns an empty response body: {}.
+   * (versions.listProjectsModelsVersions)
+   *
+   * @param string $parent Required. The name of the model for which to list the
+   * version.
+   * @param array $optParams Optional parameters.
+   *
+   * @opt_param string filter Optional. Specifies the subset of versions to
+   * retrieve.
+   * @opt_param int pageSize Optional. The number of versions to retrieve per
+   * "page" of results. If there are more remaining results than this number, the
+   * response message will contain a valid value in the `next_page_token` field.
+   * The default value is 20, and the maximum page size is 100.
+   * @opt_param string pageToken Optional. A page token to request the next page
+   * of results. You get the token from the `next_page_token` field of the
+   * response from the previous call.
+   * @return GoogleCloudMlV1ListVersionsResponse
+   * @throws \Google\Service\Exception
+   */
+  public function listProjectsModelsVersions($parent, $optParams = [])
+  {
+    $params = ['parent' => $parent];
+    $params = array_merge($params, $optParams);
+    return $this->call('list', [$params], GoogleCloudMlV1ListVersionsResponse::class);
+  }
+  /**
+   * Updates the specified Version resource. Currently the only update-able fields
+   * are `description`, `requestLoggingConfig`, `autoScaling.minNodes`, and
+   * `manualScaling.nodes`. (versions.patch)
+   *
+   * @param string $name Required. The name of the model.
+   * @param GoogleCloudMlV1Version $postBody
+   * @param array $optParams Optional parameters.
+   *
+   * @opt_param string updateMask Required. Specifies the path, relative to
+   * `Version`, of the field to update. Must be present and non-empty. For
+   * example, to change the description of a version to "foo", the `update_mask`
+   * parameter would be specified as `description`, and the `PATCH` request body
+   * would specify the new value, as follows: ``` { "description": "foo" } ```
+   * Currently the only supported update mask fields are `description`,
+   * `requestLoggingConfig`, `autoScaling.minNodes`, and `manualScaling.nodes`.
+   * However, you can only update `manualScaling.nodes` if the version uses a
+   * [Compute Engine (N1) machine type](/ml-engine/docs/machine-types-online-
+   * prediction).
+   * @return GoogleLongrunningOperation
+   * @throws \Google\Service\Exception
+   */
+  public function patch($name, GoogleCloudMlV1Version $postBody, $optParams = [])
+  {
+    $params = ['name' => $name, 'postBody' => $postBody];
+    $params = array_merge($params, $optParams);
+    return $this->call('patch', [$params], GoogleLongrunningOperation::class);
+  }
+  /**
+   * Designates a version to be the default for the model. The default version is
+   * used for prediction requests made against the model that don't specify a
+   * version. The first version to be created for a model is automatically set as
+   * the default. You must make any subsequent changes to the default version
+   * setting manually using this method. (versions.setDefault)
+   *
+   * @param string $name Required. The name of the version to make the default for
+   * the model. You can get the names of all the versions of a model by calling
+   * projects.models.versions.list.
+   * @param GoogleCloudMlV1SetDefaultVersionRequest $postBody
+   * @param array $optParams Optional parameters.
+   * @return GoogleCloudMlV1Version
+   * @throws \Google\Service\Exception
+   */
+  public function setDefault($name, GoogleCloudMlV1SetDefaultVersionRequest $postBody, $optParams = [])
+  {
+    $params = ['name' => $name, 'postBody' => $postBody];
+    $params = array_merge($params, $optParams);
+    return $this->call('setDefault', [$params], GoogleCloudMlV1Version::class);
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(ProjectsModelsVersions::class, 'Google_Service_CloudMachineLearningEngine_Resource_ProjectsModelsVersions');

vendor/google/apiclient-services/src/CloudMachineLearningEngine/Resource/ProjectsOperations.php

@@ -0,0 +1,95 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\CloudMachineLearningEngine\Resource;
+
+use Google\Service\CloudMachineLearningEngine\GoogleLongrunningListOperationsResponse;
+use Google\Service\CloudMachineLearningEngine\GoogleLongrunningOperation;
+use Google\Service\CloudMachineLearningEngine\GoogleProtobufEmpty;
+
+/**
+ * The "operations" collection of methods.
+ * Typical usage is:
+ *  <code>
+ *   $mlService = new Google\Service\CloudMachineLearningEngine(...);
+ *   $operations = $mlService->projects_operations;
+ *  </code>
+ */
+class ProjectsOperations extends \Google\Service\Resource
+{
+  /**
+   * Starts asynchronous cancellation on a long-running operation. The server
+   * makes a best effort to cancel the operation, but success is not guaranteed.
+   * If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation, the
+   * operation is not deleted; instead, it becomes an operation with an
+   * Operation.error value with a google.rpc.Status.code of `1`, corresponding to
+   * `Code.CANCELLED`. (operations.cancel)
+   *
+   * @param string $name The name of the operation resource to be cancelled.
+   * @param array $optParams Optional parameters.
+   * @return GoogleProtobufEmpty
+   * @throws \Google\Service\Exception
+   */
+  public function cancel($name, $optParams = [])
+  {
+    $params = ['name' => $name];
+    $params = array_merge($params, $optParams);
+    return $this->call('cancel', [$params], GoogleProtobufEmpty::class);
+  }
+  /**
+   * Gets the latest state of a long-running operation. Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service. (operations.get)
+   *
+   * @param string $name The name of the operation resource.
+   * @param array $optParams Optional parameters.
+   * @return GoogleLongrunningOperation
+   * @throws \Google\Service\Exception
+   */
+  public function get($name, $optParams = [])
+  {
+    $params = ['name' => $name];
+    $params = array_merge($params, $optParams);
+    return $this->call('get', [$params], GoogleLongrunningOperation::class);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`.
+   * (operations.listProjectsOperations)
+   *
+   * @param string $name The name of the operation's parent resource.
+   * @param array $optParams Optional parameters.
+   *
+   * @opt_param string filter The standard list filter.
+   * @opt_param int pageSize The standard list page size.
+   * @opt_param string pageToken The standard list page token.
+   * @return GoogleLongrunningListOperationsResponse
+   * @throws \Google\Service\Exception
+   */
+  public function listProjectsOperations($name, $optParams = [])
+  {
+    $params = ['name' => $name];
+    $params = array_merge($params, $optParams);
+    return $this->call('list', [$params], GoogleLongrunningListOperationsResponse::class);
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(ProjectsOperations::class, 'Google_Service_CloudMachineLearningEngine_Resource_ProjectsOperations');