Api-roll 42: 2016-11-08

generated/googleapis_beta/lib/ml/v1beta1.dart

+// This is a generated file (see the discoveryapis_generator project).
+
+library googleapis_beta.ml.v1beta1;
+
+import 'dart:core' as core;
+import 'dart:async' as async;
+import 'dart:convert' as convert;
+
+import 'package:_discoveryapis_commons/_discoveryapis_commons.dart' as commons;
+import 'package:http/http.dart' as http;
+
+export 'package:_discoveryapis_commons/_discoveryapis_commons.dart' show
+    ApiRequestError, DetailedApiRequestError;
+
+const core.String USER_AGENT = 'dart-api-client ml/v1beta1';
+
+/** An API to enable creating and using machine learning models. */
+class MlApi {
+  /** View and manage your data across Google Cloud Platform services */
+  static const CloudPlatformScope = "https://www.googleapis.com/auth/cloud-platform";
+
+
+  final commons.ApiRequester _requester;
+
+  ProjectsResourceApi get projects => new ProjectsResourceApi(_requester);
+
+  MlApi(http.Client client, {core.String rootUrl: "https://ml.googleapis.com/", core.String servicePath: ""}) :
+      _requester = new commons.ApiRequester(client, rootUrl, servicePath, USER_AGENT);
+}
+
+
+class ProjectsResourceApi {
+  final commons.ApiRequester _requester;
+
+  ProjectsJobsResourceApi get jobs => new ProjectsJobsResourceApi(_requester);
+  ProjectsModelsResourceApi get models => new ProjectsModelsResourceApi(_requester);
+  ProjectsOperationsResourceApi get operations => new ProjectsOperationsResourceApi(_requester);
+
+  ProjectsResourceApi(commons.ApiRequester client) : 
+      _requester = client;
+
+  /**
+   * Get the service account information associated with your project. You need
+   * this information in order to grant the service account persmissions for
+   * the Google Cloud Storage location where you put your model training code
+   * for training the model with Google Cloud Machine Learning.
+   *
+   * Request parameters:
+   *
+   * [name] - Required. The project name.
+   *
+   * Authorization: requires `Viewer` role on the specified project.
+   * Value must have pattern "^projects/[^/]+$".
+   *
+   * Completes with a [GoogleCloudMlV1beta1GetConfigResponse].
+   *
+   * Completes with a [commons.ApiRequestError] if the API endpoint returned an
+   * error.
+   *
+   * If the used [http.Client] completes with an error when making a REST call,
+   * this method will complete with the same error.
+   */
+  async.Future<GoogleCloudMlV1beta1GetConfigResponse> getConfig(core.String name) {
+    var _url = null;
+    var _queryParams = new core.Map();
+    var _uploadMedia = null;
+    var _uploadOptions = null;
+    var _downloadOptions = commons.DownloadOptions.Metadata;
+    var _body = null;
+
+    if (name == null) {
+      throw new core.ArgumentError("Parameter name is required.");
+    }
+
+    _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$name') + ':getConfig';
+
+    var _response = _requester.request(_url,
+                                       "GET",
+                                       body: _body,
+                                       queryParams: _queryParams,
+                                       uploadOptions: _uploadOptions,
+                                       uploadMedia: _uploadMedia,
+                                       downloadOptions: _downloadOptions);
+    return _response.then((data) => new GoogleCloudMlV1beta1GetConfigResponse.fromJson(data));
+  }
+
+  /**
+   * Performs prediction on the data in the request.
+   *
+   * Responses are very similar to requests. There are two top-level fields,
+   * each of which are JSON lists:
+   *
+   * <dl>
+   *   <dt>predictions</dt>
+   *   <dd>The list of predictions, one per instance in the request.</dd>
+   *   <dt>error</dt>
+   *   <dd>An error message returned instead of a prediction list if any
+   *       instance produced an error.</dd>
+   * </dl>
+   *
+   * If the call is successful, the response body will contain one prediction
+   * entry per instance in the request body. If prediction fails for any
+   * instance, the response body will contain no predictions and will contian
+   * a single error entry instead.
+   *
+   * Even though there is one prediction per instance, the format of a
+   * prediction is not directly related to the format of an instance.
+   * Predictions take whatever format is specified in the outputs collection
+   * defined in the model. The collection of predictions is returned in a JSON
+   * list. Each member of the list can be a simple value, a list, or a JSON
+   * object of any complexity. If your model has more than one output tensor,
+   * each prediction will be a JSON object containing a name/value pair for each
+   * output. The names identify the output aliases in the graph.
+   *
+   * The following examples show some possible responses:
+   *
+   * A simple set of predictions for three input instances, where each
+   * prediction is an integer value:
+   * <pre>
+   * {"predictions": [5, 4, 3]}
+   * </pre>
+   * A more complex set of predictions, each containing two named values that
+   * correspond to output tensors, named **label** and **scores** respectively.
+   * The value of **label** is the predicted category ("car" or "beach") and
+   * **scores** contains a list of probabilities for that instance across the
+   * possible categories.
+   * <pre>
+   * {"predictions": [{"label": "beach", "scores": [0.1, 0.9]},
+   *                  {"label": "car", "scores": [0.75, 0.25]}]}
+   * </pre>
+   * A response when there is an error processing an input instance:
+   * <pre>
+   * {"error": "Divide by zero"}
+   * </pre>
+   *
+   * [request] - The metadata request object.
+   *
+   * Request parameters:
+   *
+   * [name] - Required. The resource name of a model or a version.
+   *
+   * Authorization: requires `Viewer` role on the parent project.
+   * Value must have pattern "^projects/.+$".
+   *
+   * Completes with a [GoogleApiHttpBody].
+   *
+   * Completes with a [commons.ApiRequestError] if the API endpoint returned an
+   * error.
+   *
+   * If the used [http.Client] completes with an error when making a REST call,
+   * this method will complete with the same error.
+   */
+  async.Future<GoogleApiHttpBody> predict(GoogleCloudMlV1beta1PredictRequest request, core.String name) {
+    var _url = null;
+    var _queryParams = new core.Map();
+    var _uploadMedia = null;
+    var _uploadOptions = null;
+    var _downloadOptions = commons.DownloadOptions.Metadata;
+    var _body = null;
+
+    if (request != null) {
+      _body = convert.JSON.encode((request).toJson());
+    }
+    if (name == null) {
+      throw new core.ArgumentError("Parameter name is required.");
+    }
+
+    _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$name') + ':predict';
+
+    var _response = _requester.request(_url,
+                                       "POST",
+                                       body: _body,
+                                       queryParams: _queryParams,
+                                       uploadOptions: _uploadOptions,
+                                       uploadMedia: _uploadMedia,
+                                       downloadOptions: _downloadOptions);
+    return _response.then((data) => new GoogleApiHttpBody.fromJson(data));
+  }
+
+}
+
+
+class ProjectsJobsResourceApi {
+  final commons.ApiRequester _requester;
+
+  ProjectsJobsResourceApi(commons.ApiRequester client) : 
+      _requester = client;
+
+  /**
+   * Cancels a running job.
+   *
+   * [request] - The metadata request object.
+   *
+   * Request parameters:
+   *
+   * [name] - Required. The name of the job to cancel.
+   *
+   * Authorization: requires `Editor` role on the parent project.
+   * Value must have pattern "^projects/[^/]+/jobs/[^/]+$".
+   *
+   * Completes with a [GoogleProtobufEmpty].
+   *
+   * Completes with a [commons.ApiRequestError] if the API endpoint returned an
+   * error.
+   *
+   * If the used [http.Client] completes with an error when making a REST call,
+   * this method will complete with the same error.
+   */
+  async.Future<GoogleProtobufEmpty> cancel(GoogleCloudMlV1beta1CancelJobRequest request, core.String name) {
+    var _url = null;
+    var _queryParams = new core.Map();
+    var _uploadMedia = null;
+    var _uploadOptions = null;
+    var _downloadOptions = commons.DownloadOptions.Metadata;
+    var _body = null;
+
+    if (request != null) {
+      _body = convert.JSON.encode((request).toJson());
+    }
+    if (name == null) {
+      throw new core.ArgumentError("Parameter name is required.");
+    }
+
+    _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$name') + ':cancel';
+
+    var _response = _requester.request(_url,
+                                       "POST",
+                                       body: _body,
+                                       queryParams: _queryParams,
+                                       uploadOptions: _uploadOptions,
+                                       uploadMedia: _uploadMedia,
+                                       downloadOptions: _downloadOptions);
+    return _response.then((data) => new GoogleProtobufEmpty.fromJson(data));
+  }
+
+  /**
+   * Creates a training or a batch prediction job.
+   *
+   * [request] - The metadata request object.
+   *
+   * Request parameters:
+   *
+   * [parent] - Required. The project name.
+   *
+   * Authorization: requires `Editor` role on the specified project.
+   * Value must have pattern "^projects/[^/]+$".
+   *
+   * Completes with a [GoogleCloudMlV1beta1Job].
+   *
+   * Completes with a [commons.ApiRequestError] if the API endpoint returned an
+   * error.
+   *
+   * If the used [http.Client] completes with an error when making a REST call,
+   * this method will complete with the same error.
+   */
+  async.Future<GoogleCloudMlV1beta1Job> create(GoogleCloudMlV1beta1Job request, core.String parent) {
+    var _url = null;
+    var _queryParams = new core.Map();
+    var _uploadMedia = null;
+    var _uploadOptions = null;
+    var _downloadOptions = commons.DownloadOptions.Metadata;
+    var _body = null;
+
+    if (request != null) {
+      _body = convert.JSON.encode((request).toJson());
+    }
+    if (parent == null) {
+      throw new core.ArgumentError("Parameter parent is required.");
+    }
+
+    _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$parent') + '/jobs';
+
+    var _response = _requester.request(_url,
+                                       "POST",
+                                       body: _body,
+                                       queryParams: _queryParams,
+                                       uploadOptions: _uploadOptions,
+                                       uploadMedia: _uploadMedia,
+                                       downloadOptions: _downloadOptions);
+    return _response.then((data) => new GoogleCloudMlV1beta1Job.fromJson(data));
+  }
+
+  /**
+   * Describes a job.
+   *
+   * Request parameters:
+   *
+   * [name] - Required. The name of the job to get the description of.
+   *
+   * Authorization: requires `Viewer` role on the parent project.
+   * Value must have pattern "^projects/[^/]+/jobs/[^/]+$".
+   *
+   * Completes with a [GoogleCloudMlV1beta1Job].
+   *
+   * Completes with a [commons.ApiRequestError] if the API endpoint returned an
+   * error.
+   *
+   * If the used [http.Client] completes with an error when making a REST call,
+   * this method will complete with the same error.
+   */
+  async.Future<GoogleCloudMlV1beta1Job> get(core.String name) {
+    var _url = null;
+    var _queryParams = new core.Map();
+    var _uploadMedia = null;
+    var _uploadOptions = null;
+    var _downloadOptions = commons.DownloadOptions.Metadata;
+    var _body = null;
+
+    if (name == null) {
+      throw new core.ArgumentError("Parameter name is required.");
+    }
+
+    _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$name');
+
+    var _response = _requester.request(_url,
+                                       "GET",
+                                       body: _body,
+                                       queryParams: _queryParams,
+                                       uploadOptions: _uploadOptions,
+                                       uploadMedia: _uploadMedia,
+                                       downloadOptions: _downloadOptions);
+    return _response.then((data) => new GoogleCloudMlV1beta1Job.fromJson(data));
+  }
+
+  /**
+   * Lists the jobs in the project.
+   *
+   * Request parameters:
+   *
+   * [parent] - Required. The name of the project for which to list jobs.
+   *
+   * Authorization: requires `Viewer` role on the specified project.
+   * Value must have pattern "^projects/[^/]+$".
+   *
+   * [pageSize] - Optional. The number of jobs to retrieve per "page" of
+   * results. If there
+   * are more remaining results than this number, the response message will
+   * contain a valid value in the `next_page_token` field.
+   *
+   * The default value is 20, and the maximum page size is 100.
+   *
+   * [filter] - Optional. Specifies the subset of jobs to retrieve.
+   *
+   * [pageToken] - Optional. A page token to request the next page of results.
+   *
+   * You get the token from the `next_page_token` field of the response from
+   * the previous call.
+   *
+   * Completes with a [GoogleCloudMlV1beta1ListJobsResponse].
+   *
+   * Completes with a [commons.ApiRequestError] if the API endpoint returned an
+   * error.
+   *
+   * If the used [http.Client] completes with an error when making a REST call,
+   * this method will complete with the same error.
+   */
+  async.Future<GoogleCloudMlV1beta1ListJobsResponse> list(core.String parent, {core.int pageSize, core.String filter, core.String pageToken}) {
+    var _url = null;
+    var _queryParams = new core.Map();
+    var _uploadMedia = null;
+    var _uploadOptions = null;
+    var _downloadOptions = commons.DownloadOptions.Metadata;
+    var _body = null;
+
+    if (parent == null) {
+      throw new core.ArgumentError("Parameter parent is required.");
+    }
+    if (pageSize != null) {
+      _queryParams["pageSize"] = ["${pageSize}"];
+    }
+    if (filter != null) {
+      _queryParams["filter"] = [filter];
+    }
+    if (pageToken != null) {
+      _queryParams["pageToken"] = [pageToken];
+    }
+
+    _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$parent') + '/jobs';
+
+    var _response = _requester.request(_url,
+                                       "GET",
+                                       body: _body,
+                                       queryParams: _queryParams,
+                                       uploadOptions: _uploadOptions,
+                                       uploadMedia: _uploadMedia,
+                                       downloadOptions: _downloadOptions);
+    return _response.then((data) => new GoogleCloudMlV1beta1ListJobsResponse.fromJson(data));
+  }
+
+}
+
+
+class ProjectsModelsResourceApi {
+  final commons.ApiRequester _requester;
+
+  ProjectsModelsVersionsResourceApi get versions => new ProjectsModelsVersionsResourceApi(_requester);
+
+  ProjectsModelsResourceApi(commons.ApiRequester client) : 
+      _requester = client;
+
+  /**
+   * Creates a model which will later contain one or more versions.
+   *
+   * You must add at least one version before you can request predictions from
+   * the model. Add versions by calling
+   * [projects.models.versions.create](/ml/reference/rest/v1beta1/projects.models.versions/create).
+   *
+   * [request] - The metadata request object.
+   *
+   * Request parameters:
+   *
+   * [parent] - Required. The project name.
+   *
+   * Authorization: requires `Editor` role on the specified project.
+   * Value must have pattern "^projects/[^/]+$".
+   *
+   * Completes with a [GoogleCloudMlV1beta1Model].
+   *
+   * Completes with a [commons.ApiRequestError] if the API endpoint returned an
+   * error.
+   *
+   * If the used [http.Client] completes with an error when making a REST call,
+   * this method will complete with the same error.
+   */
+  async.Future<GoogleCloudMlV1beta1Model> create(GoogleCloudMlV1beta1Model request, core.String parent) {
+    var _url = null;
+    var _queryParams = new core.Map();
+    var _uploadMedia = null;
+    var _uploadOptions = null;
+    var _downloadOptions = commons.DownloadOptions.Metadata;
+    var _body = null;
+
+    if (request != null) {
+      _body = convert.JSON.encode((request).toJson());
+    }
+    if (parent == null) {
+      throw new core.ArgumentError("Parameter parent is required.");
+    }
+
+    _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$parent') + '/models';
+
+    var _response = _requester.request(_url,
+                                       "POST",
+                                       body: _body,
+                                       queryParams: _queryParams,
+                                       uploadOptions: _uploadOptions,
+                                       uploadMedia: _uploadMedia,
+                                       downloadOptions: _downloadOptions);
+    return _response.then((data) => new GoogleCloudMlV1beta1Model.fromJson(data));
+  }
+
+  /**
+   * Deletes a model.
+   *
+   * You can only delete a model if there are no versions in it. You can delete
+   * versions by calling
+   * [projects.models.versions.delete](/ml/reference/rest/v1beta1/projects.models.versions/delete).
+   *
+   * Request parameters:
+   *
+   * [name] - Required. The name of the model.
+   *
+   * Authorization: requires `Editor` role on the parent project.
+   * Value must have pattern "^projects/[^/]+/models/[^/]+$".
+   *
+   * Completes with a [GoogleLongrunningOperation].
+   *
+   * Completes with a [commons.ApiRequestError] if the API endpoint returned an
+   * error.
+   *
+   * If the used [http.Client] completes with an error when making a REST call,
+   * this method will complete with the same error.
+   */
+  async.Future<GoogleLongrunningOperation> delete(core.String name) {
+    var _url = null;
+    var _queryParams = new core.Map();
+    var _uploadMedia = null;
+    var _uploadOptions = null;
+    var _downloadOptions = commons.DownloadOptions.Metadata;
+    var _body = null;
+
+    if (name == null) {
+      throw new core.ArgumentError("Parameter name is required.");
+    }
+
+    _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$name');
+
+    var _response = _requester.request(_url,
+                                       "DELETE",
+                                       body: _body,
+                                       queryParams: _queryParams,
+                                       uploadOptions: _uploadOptions,
+                                       uploadMedia: _uploadMedia,
+                                       downloadOptions: _downloadOptions);
+    return _response.then((data) => new GoogleLongrunningOperation.fromJson(data));
+  }
+
+  /**
+   * Gets information about a model, including its name, the description (if
+   * set), and the default version (if at least one version of the model has
+   * been deployed).
+   *
+   * Request parameters:
+   *
+   * [name] - Required. The name of the model.
+   *
+   * Authorization: requires `Viewer` role on the parent project.
+   * Value must have pattern "^projects/[^/]+/models/[^/]+$".
+   *
+   * Completes with a [GoogleCloudMlV1beta1Model].
+   *
+   * Completes with a [commons.ApiRequestError] if the API endpoint returned an
+   * error.
+   *
+   * If the used [http.Client] completes with an error when making a REST call,
+   * this method will complete with the same error.
+   */
+  async.Future<GoogleCloudMlV1beta1Model> get(core.String name) {
+    var _url = null;
+    var _queryParams = new core.Map();
+    var _uploadMedia = null;
+    var _uploadOptions = null;
+    var _downloadOptions = commons.DownloadOptions.Metadata;
+    var _body = null;
+
+    if (name == null) {
+      throw new core.ArgumentError("Parameter name is required.");
+    }
+
+    _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$name');
+
+    var _response = _requester.request(_url,
+                                       "GET",
+                                       body: _body,
+                                       queryParams: _queryParams,
+                                       uploadOptions: _uploadOptions,
+                                       uploadMedia: _uploadMedia,
+                                       downloadOptions: _downloadOptions);
+    return _response.then((data) => new GoogleCloudMlV1beta1Model.fromJson(data));
+  }
+
+  /**
+   * Lists the models in a project.
+   *
+   * Each project can contain multiple models, and each model can have multiple
+   * versions.
+   *
+   * Request parameters:
+   *
+   * [parent] - Required. The name of the project whose models are to be listed.
+   *
+   * Authorization: requires `Viewer` role on the specified project.
+   * Value must have pattern "^projects/[^/]+$".
+   *
+   * [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.
+   *
+   * [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.
+   *
+   * Completes with a [GoogleCloudMlV1beta1ListModelsResponse].
+   *
+   * Completes with a [commons.ApiRequestError] if the API endpoint returned an
+   * error.
+   *
+   * If the used [http.Client] completes with an error when making a REST call,
+   * this method will complete with the same error.
+   */
+  async.Future<GoogleCloudMlV1beta1ListModelsResponse> list(core.String parent, {core.int pageSize, core.String pageToken}) {
+    var _url = null;
+    var _queryParams = new core.Map();
+    var _uploadMedia = null;
+    var _uploadOptions = null;
+    var _downloadOptions = commons.DownloadOptions.Metadata;
+    var _body = null;
+
+    if (parent == null) {
+      throw new core.ArgumentError("Parameter parent is required.");
+    }
+    if (pageSize != null) {
+      _queryParams["pageSize"] = ["${pageSize}"];
+    }
+    if (pageToken != null) {
+      _queryParams["pageToken"] = [pageToken];
+    }
+
+    _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$parent') + '/models';
+
+    var _response = _requester.request(_url,
+                                       "GET",
+                                       body: _body,
+                                       queryParams: _queryParams,
+                                       uploadOptions: _uploadOptions,
+                                       uploadMedia: _uploadMedia,
+                                       downloadOptions: _downloadOptions);
+    return _response.then((data) => new GoogleCloudMlV1beta1ListModelsResponse.fromJson(data));
+  }
+
+}
+
+
+class ProjectsModelsVersionsResourceApi {
+  final commons.ApiRequester _requester;
+
+  ProjectsModelsVersionsResourceApi(commons.ApiRequester client) : 
+      _requester = client;
+
+  /**
+   * 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](/ml/reference/rest/v1beta1/projects.models.versions/setDefault).
+   *
+   * [request] - The metadata request object.
+   *
+   * Request parameters:
+   *
+   * [parent] - Required. The name of the model.
+   *
+   * Authorization: requires `Editor` role on the parent project.
+   * Value must have pattern "^projects/[^/]+/models/[^/]+$".
+   *
+   * Completes with a [GoogleLongrunningOperation].
+   *
+   * Completes with a [commons.ApiRequestError] if the API endpoint returned an
+   * error.
+   *
+   * If the used [http.Client] completes with an error when making a REST call,
+   * this method will complete with the same error.
+   */
+  async.Future<GoogleLongrunningOperation> create(GoogleCloudMlV1beta1Version request, core.String parent) {
+    var _url = null;
+    var _queryParams = new core.Map();
+    var _uploadMedia = null;
+    var _uploadOptions = null;
+    var _downloadOptions = commons.DownloadOptions.Metadata;
+    var _body = null;
+
+    if (request != null) {
+      _body = convert.JSON.encode((request).toJson());
+    }
+    if (parent == null) {
+      throw new core.ArgumentError("Parameter parent is required.");
+    }
+
+    _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$parent') + '/versions';
+
+    var _response = _requester.request(_url,
+                                       "POST",
+                                       body: _body,
+                                       queryParams: _queryParams,
+                                       uploadOptions: _uploadOptions,
+                                       uploadMedia: _uploadMedia,
+                                       downloadOptions: _downloadOptions);
+    return _response.then((data) => new GoogleLongrunningOperation.fromJson(data));
+  }
+
+  /**
+   * 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.
+   *
+   * Request parameters:
+   *
+   * [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](/ml/reference/rest/v1beta1/projects.models.versions/list).
+   *
+   * Authorization: requires `Editor` role on the parent project.
+   * Value must have pattern "^projects/[^/]+/models/[^/]+/versions/[^/]+$".
+   *
+   * Completes with a [GoogleLongrunningOperation].
+   *
+   * Completes with a [commons.ApiRequestError] if the API endpoint returned an
+   * error.
+   *
+   * If the used [http.Client] completes with an error when making a REST call,
+   * this method will complete with the same error.
+   */
+  async.Future<GoogleLongrunningOperation> delete(core.String name) {
+    var _url = null;
+    var _queryParams = new core.Map();
+    var _uploadMedia = null;
+    var _uploadOptions = null;
+    var _downloadOptions = commons.DownloadOptions.Metadata;
+    var _body = null;
+
+    if (name == null) {
+      throw new core.ArgumentError("Parameter name is required.");
+    }
+
+    _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$name');
+
+    var _response = _requester.request(_url,
+                                       "DELETE",
+                                       body: _body,
+                                       queryParams: _queryParams,
+                                       uploadOptions: _uploadOptions,
+                                       uploadMedia: _uploadMedia,
+                                       downloadOptions: _downloadOptions);
+    return _response.then((data) => new GoogleLongrunningOperation.fromJson(data));
+  }
+
+  /**
+   * Gets information about a model version.
+   *
+   * Models can have multiple versions. You can call
+   * [projects.models.versions.list](/ml/reference/rest/v1beta1/projects.models.versions/list)
+   * to get the same information that this method returns for all of the
+   * versions of a model.
+   *
+   * Request parameters:
+   *
+   * [name] - Required. The name of the version.
+   *
+   * Authorization: requires `Viewer` role on the parent project.
+   * Value must have pattern "^projects/[^/]+/models/[^/]+/versions/[^/]+$".
+   *
+   * Completes with a [GoogleCloudMlV1beta1Version].
+   *
+   * Completes with a [commons.ApiRequestError] if the API endpoint returned an
+   * error.
+   *
+   * If the used [http.Client] completes with an error when making a REST call,
+   * this method will complete with the same error.
+   */
+  async.Future<GoogleCloudMlV1beta1Version> get(core.String name) {
+    var _url = null;
+    var _queryParams = new core.Map();
+    var _uploadMedia = null;
+    var _uploadOptions = null;
+    var _downloadOptions = commons.DownloadOptions.Metadata;
+    var _body = null;
+
+    if (name == null) {
+      throw new core.ArgumentError("Parameter name is required.");
+    }
+
+    _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$name');
+
+    var _response = _requester.request(_url,
+                                       "GET",
+                                       body: _body,
+                                       queryParams: _queryParams,
+                                       uploadOptions: _uploadOptions,
+                                       uploadMedia: _uploadMedia,
+                                       downloadOptions: _downloadOptions);
+    return _response.then((data) => new GoogleCloudMlV1beta1Version.fromJson(data));
+  }
+
+  /**
+   * Gets basic information about all the versions of a model.
+   *
+   * If you expect that a model has a lot of 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):
+   *
+   * Request parameters:
+   *
+   * [parent] - Required. The name of the model for which to list the version.
+   *
+   * Authorization: requires `Viewer` role on the parent project.
+   * Value must have pattern "^projects/[^/]+/models/[^/]+$".
+   *
+   * [pageSize] - Optional. The number of versions to retrieve per "page" of
+   * results. If
+   * there are more remaining results than this number, the response message
+   * will contain a valid value in the `next_page_token` field.
+   *
+   * The default value is 20, and the maximum page size is 100.
+   *
+   * [pageToken] - Optional. A page token to request the next page of results.
+   *
+   * You get the token from the `next_page_token` field of the response from
+   * the previous call.
+   *
+   * Completes with a [GoogleCloudMlV1beta1ListVersionsResponse].
+   *
+   * Completes with a [commons.ApiRequestError] if the API endpoint returned an
+   * error.
+   *
+   * If the used [http.Client] completes with an error when making a REST call,
+   * this method will complete with the same error.
+   */
+  async.Future<GoogleCloudMlV1beta1ListVersionsResponse> list(core.String parent, {core.int pageSize, core.String pageToken}) {
+    var _url = null;
+    var _queryParams = new core.Map();
+    var _uploadMedia = null;
+    var _uploadOptions = null;
+    var _downloadOptions = commons.DownloadOptions.Metadata;
+    var _body = null;
+
+    if (parent == null) {
+      throw new core.ArgumentError("Parameter parent is required.");
+    }
+    if (pageSize != null) {
+      _queryParams["pageSize"] = ["${pageSize}"];
+    }
+    if (pageToken != null) {
+      _queryParams["pageToken"] = [pageToken];
+    }
+
+    _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$parent') + '/versions';
+
+    var _response = _requester.request(_url,
+                                       "GET",
+                                       body: _body,
+                                       queryParams: _queryParams,
+                                       uploadOptions: _uploadOptions,
+                                       uploadMedia: _uploadMedia,
+                                       downloadOptions: _downloadOptions);
+    return _response.then((data) => new GoogleCloudMlV1beta1ListVersionsResponse.fromJson(data));
+  }
+
+  /**
+   * Designates a version to be the default for the model.
+   *
+   * The default version is used for prediction requests made against the model
+   * that don't specify a version.
+   *
+   * The first version to be created for a model is automatically set as the
+   * default. You must make any subsequent changes to the default version
+   * setting manually using this method.
+   *
+   * [request] - The metadata request object.
+   *
+   * Request parameters:
+   *
+   * [name] - Required. The name of the version to make the default for the
+   * model. You
+   * can get the names of all the versions of a model by calling
+   * [projects.models.versions.list](/ml/reference/rest/v1beta1/projects.models.versions/list).
+   *
+   * Authorization: requires `Editor` role on the parent project.
+   * Value must have pattern "^projects/[^/]+/models/[^/]+/versions/[^/]+$".
+   *
+   * Completes with a [GoogleCloudMlV1beta1Version].
+   *
+   * Completes with a [commons.ApiRequestError] if the API endpoint returned an
+   * error.
+   *
+   * If the used [http.Client] completes with an error when making a REST call,
+   * this method will complete with the same error.
+   */
+  async.Future<GoogleCloudMlV1beta1Version> setDefault(GoogleCloudMlV1beta1SetDefaultVersionRequest request, core.String name) {
+    var _url = null;
+    var _queryParams = new core.Map();
+    var _uploadMedia = null;
+    var _uploadOptions = null;
+    var _downloadOptions = commons.DownloadOptions.Metadata;
+    var _body = null;
+
+    if (request != null) {
+      _body = convert.JSON.encode((request).toJson());
+    }
+    if (name == null) {
+      throw new core.ArgumentError("Parameter name is required.");
+    }
+
+    _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$name') + ':setDefault';
+
+    var _response = _requester.request(_url,
+                                       "POST",
+                                       body: _body,
+                                       queryParams: _queryParams,
+                                       uploadOptions: _uploadOptions,
+                                       uploadMedia: _uploadMedia,
+                                       downloadOptions: _downloadOptions);
+    return _response.then((data) => new GoogleCloudMlV1beta1Version.fromJson(data));
+  }
+
+}
+
+
+class ProjectsOperationsResourceApi {
+  final commons.ApiRequester _requester;
+
+  ProjectsOperationsResourceApi(commons.ApiRequester client) : 
+      _requester = client;
+
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * Operations.GetOperation or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an Operation.error value with a google.rpc.Status.code of 1,
+   * corresponding to `Code.CANCELLED`.
+   *
+   * Request parameters:
+   *
+   * [name] - The name of the operation resource to be cancelled.
+   * Value must have pattern "^projects/[^/]+/operations/[^/]+$".
+   *
+   * Completes with a [GoogleProtobufEmpty].
+   *
+   * Completes with a [commons.ApiRequestError] if the API endpoint returned an
+   * error.
+   *
+   * If the used [http.Client] completes with an error when making a REST call,
+   * this method will complete with the same error.
+   */
+  async.Future<GoogleProtobufEmpty> cancel(core.String name) {
+    var _url = null;
+    var _queryParams = new core.Map();
+    var _uploadMedia = null;
+    var _uploadOptions = null;
+    var _downloadOptions = commons.DownloadOptions.Metadata;
+    var _body = null;
+
+    if (name == null) {
+      throw new core.ArgumentError("Parameter name is required.");
+    }
+
+    _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$name') + ':cancel';
+
+    var _response = _requester.request(_url,
+                                       "POST",
+                                       body: _body,
+                                       queryParams: _queryParams,
+                                       uploadOptions: _uploadOptions,
+                                       uploadMedia: _uploadMedia,
+                                       downloadOptions: _downloadOptions);
+    return _response.then((data) => new GoogleProtobufEmpty.fromJson(data));
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * Request parameters:
+   *
+   * [name] - The name of the operation resource to be deleted.
+   * Value must have pattern "^projects/[^/]+/operations/[^/]+$".
+   *
+   * Completes with a [GoogleProtobufEmpty].
+   *
+   * Completes with a [commons.ApiRequestError] if the API endpoint returned an
+   * error.
+   *
+   * If the used [http.Client] completes with an error when making a REST call,
+   * this method will complete with the same error.
+   */
+  async.Future<GoogleProtobufEmpty> delete(core.String name) {
+    var _url = null;
+    var _queryParams = new core.Map();
+    var _uploadMedia = null;
+    var _uploadOptions = null;
+    var _downloadOptions = commons.DownloadOptions.Metadata;
+    var _body = null;
+
+    if (name == null) {
+      throw new core.ArgumentError("Parameter name is required.");
+    }
+
+    _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$name');
+
+    var _response = _requester.request(_url,
+                                       "DELETE",
+                                       body: _body,
+                                       queryParams: _queryParams,
+                                       uploadOptions: _uploadOptions,
+                                       uploadMedia: _uploadMedia,
+                                       downloadOptions: _downloadOptions);
+    return _response.then((data) => new GoogleProtobufEmpty.fromJson(data));
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * Request parameters:
+   *
+   * [name] - The name of the operation resource.
+   * Value must have pattern "^projects/[^/]+/operations/[^/]+$".
+   *
+   * Completes with a [GoogleLongrunningOperation].
+   *
+   * Completes with a [commons.ApiRequestError] if the API endpoint returned an
+   * error.
+   *
+   * If the used [http.Client] completes with an error when making a REST call,
+   * this method will complete with the same error.
+   */
+  async.Future<GoogleLongrunningOperation> get(core.String name) {
+    var _url = null;
+    var _queryParams = new core.Map();
+    var _uploadMedia = null;
+    var _uploadOptions = null;
+    var _downloadOptions = commons.DownloadOptions.Metadata;
+    var _body = null;
+
+    if (name == null) {
+      throw new core.ArgumentError("Parameter name is required.");
+    }
+
+    _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$name');
+
+    var _response = _requester.request(_url,
+                                       "GET",
+                                       body: _body,
+                                       queryParams: _queryParams,
+                                       uploadOptions: _uploadOptions,
+                                       uploadMedia: _uploadMedia,
+                                       downloadOptions: _downloadOptions);
+    return _response.then((data) => new GoogleLongrunningOperation.fromJson(data));
+  }
+
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`.
+   *
+   * NOTE: the `name` binding below allows API services to override the binding
+   * to use different resource name schemes, such as `users / * /operations`.
+   *
+   * Request parameters:
+   *
+   * [name] - The name of the operation collection.
+   * Value must have pattern "^projects/[^/]+$".
+   *
+   * [pageSize] - The standard list page size.
+   *
+   * [filter] - The standard list filter.
+   *
+   * [pageToken] - The standard list page token.
+   *
+   * Completes with a [GoogleLongrunningListOperationsResponse].
+   *
+   * Completes with a [commons.ApiRequestError] if the API endpoint returned an
+   * error.
+   *
+   * If the used [http.Client] completes with an error when making a REST call,
+   * this method will complete with the same error.
+   */
+  async.Future<GoogleLongrunningListOperationsResponse> list(core.String name, {core.int pageSize, core.String filter, core.String pageToken}) {
+    var _url = null;
+    var _queryParams = new core.Map();
+    var _uploadMedia = null;
+    var _uploadOptions = null;
+    var _downloadOptions = commons.DownloadOptions.Metadata;
+    var _body = null;
+
+    if (name == null) {
+      throw new core.ArgumentError("Parameter name is required.");
+    }
+    if (pageSize != null) {
+      _queryParams["pageSize"] = ["${pageSize}"];
+    }
+    if (filter != null) {
+      _queryParams["filter"] = [filter];
+    }
+    if (pageToken != null) {
+      _queryParams["pageToken"] = [pageToken];
+    }
+
+    _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$name') + '/operations';
+
+    var _response = _requester.request(_url,
+                                       "GET",
+                                       body: _body,
+                                       queryParams: _queryParams,
+                                       uploadOptions: _uploadOptions,
+                                       uploadMedia: _uploadMedia,
+                                       downloadOptions: _downloadOptions);
+    return _response.then((data) => new GoogleLongrunningListOperationsResponse.fromJson(data));
+  }
+
+}
+
+
+
+/**
+ * Message that represents an arbitrary HTTP body. It should only be used for
+ * payload formats that can't be represented as JSON, such as raw binary or
+ * an HTML page.
+ *
+ *
+ * This message can be used both in streaming and non-streaming API methods in
+ * the request as well as the response.
+ *
+ * It can be used as a top-level request field, which is convenient if one
+ * wants to extract parameters from either the URL or HTTP template into the
+ * request fields and also want access to the raw HTTP body.
+ *
+ * Example:
+ *
+ *     message GetResourceRequest {
+ *       // A unique request id.
+ *       string request_id = 1;
+ *
+ *       // The raw HTTP body is bound to this field.
+ *       google.api.HttpBody http_body = 2;
+ *     }
+ *
+ *     service ResourceService {
+ *       rpc GetResource(GetResourceRequest) returns (google.api.HttpBody);
+ * rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty);
+ *     }
+ *
+ * Example with streaming methods:
+ *
+ *     service CaldavService {
+ *       rpc GetCalendar(stream google.api.HttpBody)
+ *         returns (stream google.api.HttpBody);
+ *       rpc UpdateCalendar(stream google.api.HttpBody)
+ *         returns (stream google.api.HttpBody);
+ *     }
+ *
+ * Use of this type only changes how the request and response bodies are
+ * handled, all other features will continue to work unchanged.
+ */
+class GoogleApiHttpBody {
+  /**
+   * The HTTP Content-Type string representing the content type of the body.
+   */
+  core.String contentType;
+  /** HTTP body binary data. */
+  core.String data;
+  core.List<core.int> get dataAsBytes {
+    return convert.BASE64.decode(data);
+  }
+
+  void set dataAsBytes(core.List<core.int> _bytes) {
+    data = convert.BASE64.encode(_bytes).replaceAll("/", "_").replaceAll("+", "-");
+  }
+
+  GoogleApiHttpBody();
+
+  GoogleApiHttpBody.fromJson(core.Map _json) {
+    if (_json.containsKey("contentType")) {
+      contentType = _json["contentType"];
+    }
+    if (_json.containsKey("data")) {
+      data = _json["data"];
+    }
+  }
+
+  core.Map toJson() {
+    var _json = new core.Map();
+    if (contentType != null) {
+      _json["contentType"] = contentType;
+    }
+    if (data != null) {
+      _json["data"] = data;
+    }
+    return _json;
+  }
+}
+
+/** An observed value of a metric. */
+class GoogleCloudMlV1beta1HyperparameterOutputHyperparameterMetric {
+  /** The objective value at this training step. */
+  core.double objectiveValue;
+  /** The global training step for this metric. */
+  core.String trainingStep;
+
+  GoogleCloudMlV1beta1HyperparameterOutputHyperparameterMetric();
+
+  GoogleCloudMlV1beta1HyperparameterOutputHyperparameterMetric.fromJson(core.Map _json) {
+    if (_json.containsKey("objectiveValue")) {
+      objectiveValue = _json["objectiveValue"];
+    }
+    if (_json.containsKey("trainingStep")) {
+      trainingStep = _json["trainingStep"];
+    }
+  }
+
+  core.Map toJson() {
+    var _json = new core.Map();
+    if (objectiveValue != null) {
+      _json["objectiveValue"] = objectiveValue;
+    }
+    if (trainingStep != null) {
+      _json["trainingStep"] = trainingStep;
+    }
+    return _json;
+  }
+}
+
+/** Request message for the CancelJob method. */
+class GoogleCloudMlV1beta1CancelJobRequest {
+
+  GoogleCloudMlV1beta1CancelJobRequest();
+
+  GoogleCloudMlV1beta1CancelJobRequest.fromJson(core.Map _json) {
+  }
+
+  core.Map toJson() {
+    var _json = new core.Map();
+    return _json;
+  }
+}
+
+/** Returns service account information associated with a project. */
+class GoogleCloudMlV1beta1GetConfigResponse {
+  /** The service account Cloud ML uses to access resources in the project. */
+  core.String serviceAccount;
+  /** The project number for `service_account`. */
+  core.String serviceAccountProject;
+
+  GoogleCloudMlV1beta1GetConfigResponse();
+
+  GoogleCloudMlV1beta1GetConfigResponse.fromJson(core.Map _json) {
+    if (_json.containsKey("serviceAccount")) {
+      serviceAccount = _json["serviceAccount"];
+    }
+    if (_json.containsKey("serviceAccountProject")) {
+      serviceAccountProject = _json["serviceAccountProject"];
+    }
+  }
+
+  core.Map toJson() {
+    var _json = new core.Map();
+    if (serviceAccount != null) {
+      _json["serviceAccount"] = serviceAccount;
+    }
+    if (serviceAccountProject != null) {
+      _json["serviceAccountProject"] = serviceAccountProject;
+    }
+    return _json;
+  }
+}
+
+/**
+ * Represents the result of a single hyperparameter tuning trial from a
+ * training job. The TrainingOutput object that is returned on successful
+ * completion of a training job with hyperparameter tuning includes a list
+ * of HyperparameterOutput objects, one for each successful trial.
+ */
+class GoogleCloudMlV1beta1HyperparameterOutput {
+  /** All recorded object metrics for this trial. */
+  core.List<GoogleCloudMlV1beta1HyperparameterOutputHyperparameterMetric> allMetrics;
+  /** The final objective metric seen for this trial. */
+  GoogleCloudMlV1beta1HyperparameterOutputHyperparameterMetric finalMetric;
+  /** The hyperparameters given to this trial. */
+  core.Map<core.String, core.String> hyperparameters;
+  /** The trial id for these results. */
+  core.String trialId;
+
+  GoogleCloudMlV1beta1HyperparameterOutput();
+
+  GoogleCloudMlV1beta1HyperparameterOutput.fromJson(core.Map _json) {
+    if (_json.containsKey("allMetrics")) {
+      allMetrics = _json["allMetrics"].map((value) => new GoogleCloudMlV1beta1HyperparameterOutputHyperparameterMetric.fromJson(value)).toList();
+    }
+    if (_json.containsKey("finalMetric")) {
+      finalMetric = new GoogleCloudMlV1beta1HyperparameterOutputHyperparameterMetric.fromJson(_json["finalMetric"]);
+    }
+    if (_json.containsKey("hyperparameters")) {
+      hyperparameters = _json["hyperparameters"];
+    }
+    if (_json.containsKey("trialId")) {
+      trialId = _json["trialId"];
+    }
+  }
+
+  core.Map toJson() {
+    var _json = new core.Map();
+    if (allMetrics != null) {
+      _json["allMetrics"] = allMetrics.map((value) => (value).toJson()).toList();
+    }
+    if (finalMetric != null) {
+      _json["finalMetric"] = (finalMetric).toJson();
+    }
+    if (hyperparameters != null) {
+      _json["hyperparameters"] = hyperparameters;
+    }
+    if (trialId != null) {
+      _json["trialId"] = trialId;
+    }
+    return _json;
+  }
+}
+
+/** Represents a set of hyperparameters to optimize. */
+class GoogleCloudMlV1beta1HyperparameterSpec {
+  /**
+   * Required. The type of goal to use for tuning. Available types are
+   * `MAXIMIZE` and `MINIMIZE`.
+   *
+   * Defaults to `MAXIMIZE`.
+   * Possible string values are:
+   * - "GOAL_TYPE_UNSPECIFIED" : Goal Type will default to maximize.
+   * - "MAXIMIZE" : Maximize the goal metric.
+   * - "MINIMIZE" : Minimize the goal metric.
+   */
+  core.String goal;
+  /**
+   * 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.
+   */
+  core.int maxParallelTrials;
+  /**
+   * Optional. How many training trials should be attempted to optimize
+   * the specified hyperparameters.
+   *
+   * Defaults to one.
+   */
+  core.int maxTrials;
+  /** Required. The set of parameters to tune. */
+  core.List<GoogleCloudMlV1beta1ParameterSpec> params;
+
+  GoogleCloudMlV1beta1HyperparameterSpec();
+
+  GoogleCloudMlV1beta1HyperparameterSpec.fromJson(core.Map _json) {
+    if (_json.containsKey("goal")) {
+      goal = _json["goal"];
+    }
+    if (_json.containsKey("maxParallelTrials")) {
+      maxParallelTrials = _json["maxParallelTrials"];
+    }
+    if (_json.containsKey("maxTrials")) {
+      maxTrials = _json["maxTrials"];
+    }
+    if (_json.containsKey("params")) {
+      params = _json["params"].map((value) => new GoogleCloudMlV1beta1ParameterSpec.fromJson(value)).toList();
+    }
+  }
+
+  core.Map toJson() {
+    var _json = new core.Map();
+    if (goal != null) {
+      _json["goal"] = goal;
+    }
+    if (maxParallelTrials != null) {
+      _json["maxParallelTrials"] = maxParallelTrials;
+    }
+    if (maxTrials != null) {
+      _json["maxTrials"] = maxTrials;
+    }
+    if (params != null) {
+      _json["params"] = params.map((value) => (value).toJson()).toList();
+    }
+    return _json;
+  }
+}
+
+/** Represents a training or prediction job. */
+class GoogleCloudMlV1beta1Job {
+  /** Output only. When the job was created. */
+  core.String createTime;
+  /** Output only. When the job processing was completed. */
+  core.String endTime;
+  /** Output only. The details of a failure or a cancellation. */
+  core.String errorMessage;
+  /** Required. The user-specified id of the job. */
+  core.String jobId;
+  /** Input parameters to create a prediction job. */
+  GoogleCloudMlV1beta1PredictionInput predictionInput;
+  /** The current prediction job result. */
+  GoogleCloudMlV1beta1PredictionOutput predictionOutput;
+  /** Output only. When the job processing was started. */
+  core.String startTime;
+  /**
+   * Output only. The detailed state of a job.
+   * Possible string values are:
+   * - "STATE_UNSPECIFIED" : The job state is unspecified.
+   * - "QUEUED" : The job has been just created and processing has not yet
+   * begun.
+   * - "PREPARING" : The service is preparing to run the job.
+   * - "RUNNING" : The job is in progress.
+   * - "SUCCEEDED" : The job completed successfully.
+   * - "FAILED" : The job failed.
+   * `error_message` should contain the details of the failure.
+   * - "CANCELLING" : The job is being cancelled.
+   * `error_message` should describe the reason for the cancellation.
+   * - "CANCELLED" : The job has been cancelled.
+   * `error_message` should describe the reason for the cancellation.
+   */
+  core.String state;
+  /** Input parameters to create a training job. */
+  GoogleCloudMlV1beta1TrainingInput trainingInput;
+  /** The current training job result. */
+  GoogleCloudMlV1beta1TrainingOutput trainingOutput;
+
+  GoogleCloudMlV1beta1Job();
+
+  GoogleCloudMlV1beta1Job.fromJson(core.Map _json) {
+    if (_json.containsKey("createTime")) {
+      createTime = _json["createTime"];
+    }
+    if (_json.containsKey("endTime")) {
+      endTime = _json["endTime"];
+    }
+    if (_json.containsKey("errorMessage")) {
+      errorMessage = _json["errorMessage"];
+    }
+    if (_json.containsKey("jobId")) {
+      jobId = _json["jobId"];
+    }
+    if (_json.containsKey("predictionInput")) {
+      predictionInput = new GoogleCloudMlV1beta1PredictionInput.fromJson(_json["predictionInput"]);
+    }
+    if (_json.containsKey("predictionOutput")) {
+      predictionOutput = new GoogleCloudMlV1beta1PredictionOutput.fromJson(_json["predictionOutput"]);
+    }
+    if (_json.containsKey("startTime")) {
+      startTime = _json["startTime"];
+    }
+    if (_json.containsKey("state")) {
+      state = _json["state"];
+    }
+    if (_json.containsKey("trainingInput")) {
+      trainingInput = new GoogleCloudMlV1beta1TrainingInput.fromJson(_json["trainingInput"]);
+    }
+    if (_json.containsKey("trainingOutput")) {
+      trainingOutput = new GoogleCloudMlV1beta1TrainingOutput.fromJson(_json["trainingOutput"]);
+    }
+  }
+
+  core.Map toJson() {
+    var _json = new core.Map();
+    if (createTime != null) {
+      _json["createTime"] = createTime;
+    }
+    if (endTime != null) {
+      _json["endTime"] = endTime;
+    }
+    if (errorMessage != null) {
+      _json["errorMessage"] = errorMessage;
+    }
+    if (jobId != null) {
+      _json["jobId"] = jobId;
+    }
+    if (predictionInput != null) {
+      _json["predictionInput"] = (predictionInput).toJson();
+    }
+    if (predictionOutput != null) {
+      _json["predictionOutput"] = (predictionOutput).toJson();
+    }
+    if (startTime != null) {
+      _json["startTime"] = startTime;
+    }
+    if (state != null) {
+      _json["state"] = state;
+    }
+    if (trainingInput != null) {
+      _json["trainingInput"] = (trainingInput).toJson();
+    }
+    if (trainingOutput != null) {
+      _json["trainingOutput"] = (trainingOutput).toJson();
+    }
+    return _json;
+  }
+}
+
+/** Response message for the ListJobs method. */
+class GoogleCloudMlV1beta1ListJobsResponse {
+  /** The list of jobs. */
+  core.List<GoogleCloudMlV1beta1Job> jobs;
+  /**
+   * Optional. Pass this token as the `page_token` field of the request for a
+   * subsequent call.
+   */
+  core.String nextPageToken;
+
+  GoogleCloudMlV1beta1ListJobsResponse();
+
+  GoogleCloudMlV1beta1ListJobsResponse.fromJson(core.Map _json) {
+    if (_json.containsKey("jobs")) {
+      jobs = _json["jobs"].map((value) => new GoogleCloudMlV1beta1Job.fromJson(value)).toList();
+    }
+    if (_json.containsKey("nextPageToken")) {
+      nextPageToken = _json["nextPageToken"];
+    }
+  }
+
+  core.Map toJson() {
+    var _json = new core.Map();
+    if (jobs != null) {
+      _json["jobs"] = jobs.map((value) => (value).toJson()).toList();
+    }
+    if (nextPageToken != null) {
+      _json["nextPageToken"] = nextPageToken;
+    }
+    return _json;
+  }
+}
+
+/** Response message for the ListModels method. */
+class GoogleCloudMlV1beta1ListModelsResponse {
+  /** The list of models. */
+  core.List<GoogleCloudMlV1beta1Model> models;
+  /**
+   * Optional. Pass this token as the `page_token` field of the request for a
+   * subsequent call.
+   */
+  core.String nextPageToken;
+
+  GoogleCloudMlV1beta1ListModelsResponse();
+
+  GoogleCloudMlV1beta1ListModelsResponse.fromJson(core.Map _json) {
+    if (_json.containsKey("models")) {
+      models = _json["models"].map((value) => new GoogleCloudMlV1beta1Model.fromJson(value)).toList();
+    }
+    if (_json.containsKey("nextPageToken")) {
+      nextPageToken = _json["nextPageToken"];
+    }
+  }
+
+  core.Map toJson() {
+    var _json = new core.Map();
+    if (models != null) {
+      _json["models"] = models.map((value) => (value).toJson()).toList();
+    }
+    if (nextPageToken != null) {
+      _json["nextPageToken"] = nextPageToken;
+    }
+    return _json;
+  }
+}
+
+/** Response message for the ListVersions method. */
+class GoogleCloudMlV1beta1ListVersionsResponse {
+  /**
+   * Optional. Pass this token as the `page_token` field of the request for a
+   * subsequent call.
+   */
+  core.String nextPageToken;
+  /** The list of versions. */
+  core.List<GoogleCloudMlV1beta1Version> versions;
+
+  GoogleCloudMlV1beta1ListVersionsResponse();
+
+  GoogleCloudMlV1beta1ListVersionsResponse.fromJson(core.Map _json) {
+    if (_json.containsKey("nextPageToken")) {
+      nextPageToken = _json["nextPageToken"];
+    }
+    if (_json.containsKey("versions")) {
+      versions = _json["versions"].map((value) => new GoogleCloudMlV1beta1Version.fromJson(value)).toList();
+    }
+  }
+
+  core.Map toJson() {
+    var _json = new core.Map();
+    if (nextPageToken != null) {
+      _json["nextPageToken"] = nextPageToken;
+    }
+    if (versions != null) {
+      _json["versions"] = versions.map((value) => (value).toJson()).toList();
+    }
+    return _json;
+  }
+}
+
+/**
+ * Represents a machine learning solution.
+ *
+ * A model can have multiple versions, each of which is a deployed, trained
+ * model ready to receive prediction requests. The model itself is just a
+ * container.
+ */
+class GoogleCloudMlV1beta1Model {
+  /**
+   * 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.methods.versions.setDefault](/ml/reference/rest/v1beta1/projects.models.versions/setDefault).
+   */
+  GoogleCloudMlV1beta1Version defaultVersion;
+  /** Optional. The description specified for the model when it was created. */
+  core.String description;
+  /**
+   * Required. The name specified for the model when it was created.
+   *
+   * The model name must be unique within the project it is created in.
+   */
+  core.String name;
+
+  GoogleCloudMlV1beta1Model();
+
+  GoogleCloudMlV1beta1Model.fromJson(core.Map _json) {
+    if (_json.containsKey("defaultVersion")) {
+      defaultVersion = new GoogleCloudMlV1beta1Version.fromJson(_json["defaultVersion"]);
+    }
+    if (_json.containsKey("description")) {
+      description = _json["description"];
+    }
+    if (_json.containsKey("name")) {
+      name = _json["name"];
+    }
+  }
+
+  core.Map toJson() {
+    var _json = new core.Map();
+    if (defaultVersion != null) {
+      _json["defaultVersion"] = (defaultVersion).toJson();
+    }
+    if (description != null) {
+      _json["description"] = description;
+    }
+    if (name != null) {
+      _json["name"] = name;
+    }
+    return _json;
+  }
+}
+
+/** Represents the metadata of the long-running operation. */
+class GoogleCloudMlV1beta1OperationMetadata {
+  /** The time the operation was submitted. */
+  core.String createTime;
+  /** The time operation processing completed. */
+  core.String endTime;
+  /** Indicates whether a request to cancel this operation has been made. */
+  core.bool isCancellationRequested;
+  /** Contains the name of the model associated with the operation. */
+  core.String modelName;
+  /**
+   * The operation type.
+   * Possible string values are:
+   * - "OPERATION_TYPE_UNSPECIFIED" : Unspecified operation type.
+   * - "CREATE_VERSION" : An operation to create a new version.
+   * - "DELETE_VERSION" : An operation to delete an existing version.
+   * - "DELETE_MODEL" : An operation to delete an existing model.
+   */
+  core.String operationType;
+  /** The time operation processing started. */
+  core.String startTime;
+  /** Contains the version associated with the operation. */
+  GoogleCloudMlV1beta1Version version;
+
+  GoogleCloudMlV1beta1OperationMetadata();
+
+  GoogleCloudMlV1beta1OperationMetadata.fromJson(core.Map _json) {
+    if (_json.containsKey("createTime")) {
+      createTime = _json["createTime"];
+    }
+    if (_json.containsKey("endTime")) {
+      endTime = _json["endTime"];
+    }
+    if (_json.containsKey("isCancellationRequested")) {
+      isCancellationRequested = _json["isCancellationRequested"];
+    }
+    if (_json.containsKey("modelName")) {
+      modelName = _json["modelName"];
+    }
+    if (_json.containsKey("operationType")) {
+      operationType = _json["operationType"];
+    }
+    if (_json.containsKey("startTime")) {
+      startTime = _json["startTime"];
+    }
+    if (_json.containsKey("version")) {
+      version = new GoogleCloudMlV1beta1Version.fromJson(_json["version"]);
+    }
+  }
+
+  core.Map toJson() {
+    var _json = new core.Map();
+    if (createTime != null) {
+      _json["createTime"] = createTime;
+    }
+    if (endTime != null) {
+      _json["endTime"] = endTime;
+    }
+    if (isCancellationRequested != null) {
+      _json["isCancellationRequested"] = isCancellationRequested;
+    }
+    if (modelName != null) {
+      _json["modelName"] = modelName;
+    }
+    if (operationType != null) {
+      _json["operationType"] = operationType;
+    }
+    if (startTime != null) {
+      _json["startTime"] = startTime;
+    }
+    if (version != null) {
+      _json["version"] = (version).toJson();
+    }
+    return _json;
+  }
+}
+
+/** Represents a single hyperparameter to optimize. */
+class GoogleCloudMlV1beta1ParameterSpec {
+  /** Required if type is `CATEGORICAL`. The list of possible categories. */
+  core.List<core.String> 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.
+   */
+  core.List<core.double> discreteValues;
+  /**
+   * Required if typeis `DOUBLE` or `INTEGER`. This field
+   * should be unset if type is `CATEGORICAL`. This value should be integers if
+   * type is `INTEGER`.
+   */
+  core.double 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.
+   */
+  core.double minValue;
+  /**
+   * Required. The parameter name must be unique amongst all ParameterConfigs in
+   * a HyperparameterSpec message. E.g., "learning_rate".
+   */
+  core.String 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`).
+   * Possible string values are:
+   * - "NONE" : By default, no scaling is applied.
+   * - "UNIT_LINEAR_SCALE" : Scales the feasible space to (0, 1) linearly.
+   * - "UNIT_LOG_SCALE" : Scales the feasible space logarithmically to (0, 1).
+   * The entire feasible
+   * space must be strictly positive.
+   * - "UNIT_REVERSE_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.
+   */
+  core.String scaleType;
+  /**
+   * Required. The type of the parameter.
+   * Possible string values are:
+   * - "PARAMETER_TYPE_UNSPECIFIED" : You must specify a valid type. Using this
+   * unspecified type will result in
+   * an error.
+   * - "DOUBLE" : Type for real-valued parameters.
+   * - "INTEGER" : Type for integral parameters.
+   * - "CATEGORICAL" : The parameter is categorical, with a value chosen from
+   * the categories
+   * field.
+   * - "DISCRETE" : 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.
+   */
+  core.String type;
+
+  GoogleCloudMlV1beta1ParameterSpec();
+
+  GoogleCloudMlV1beta1ParameterSpec.fromJson(core.Map _json) {
+    if (_json.containsKey("categoricalValues")) {
+      categoricalValues = _json["categoricalValues"];
+    }
+    if (_json.containsKey("discreteValues")) {
+      discreteValues = _json["discreteValues"];
+    }
+    if (_json.containsKey("maxValue")) {
+      maxValue = _json["maxValue"];
+    }
+    if (_json.containsKey("minValue")) {
+      minValue = _json["minValue"];
+    }
+    if (_json.containsKey("parameterName")) {
+      parameterName = _json["parameterName"];
+    }
+    if (_json.containsKey("scaleType")) {
+      scaleType = _json["scaleType"];
+    }
+    if (_json.containsKey("type")) {
+      type = _json["type"];
+    }
+  }
+
+  core.Map toJson() {
+    var _json = new core.Map();
+    if (categoricalValues != null) {
+      _json["categoricalValues"] = categoricalValues;
+    }
+    if (discreteValues != null) {
+      _json["discreteValues"] = discreteValues;
+    }
+    if (maxValue != null) {
+      _json["maxValue"] = maxValue;
+    }
+    if (minValue != null) {
+      _json["minValue"] = minValue;
+    }
+    if (parameterName != null) {
+      _json["parameterName"] = parameterName;
+    }
+    if (scaleType != null) {
+      _json["scaleType"] = scaleType;
+    }
+    if (type != null) {
+      _json["type"] = type;
+    }
+    return _json;
+  }
+}
+
+/**
+ * Request for predictions to be issued against a trained model.
+ *
+ * The body of the request is a single JSON object with a single top-level
+ * field:
+ *
+ * <dl>
+ *   <dt>instances</dt>
+ *   <dd>A JSON array containing values representing the instances to use for
+ *       prediction.</dd>
+ * </dl>
+ *
+ * The structure of each element of the instances list is determined by your
+ * model's input definition. Instances can include named inputs or can contain
+ * only unlabeled values.
+ *
+ * Most data does not include named inputs. Some instances will be simple
+ * JSON values (boolean, number, or string). However, instances are often lists
+ * of simple values, or complex nested lists. Here are some examples of request
+ * bodies:
+ *
+ * CSV data with each row encoded as a string value:
+ * <pre>
+ * {"instances": ["1.0,true,\\"x\\"", "-2.0,false,\\"y\\""]}
+ * </pre>
+ * Plain text:
+ * <pre>
+ * {"instances": ["the quick brown fox", "la bruja le dio"]}
+ * </pre>
+ * Sentences encoded as lists of words (vectors of strings):
+ * <pre>
+ * {"instances": [["the","quick","brown"], ["la","bruja","le"]]}
+ * </pre>
+ * Floating point scalar values:
+ * <pre>
+ * {"instances": [0.0, 1.1, 2.2]}
+ * </pre>
+ * Vectors of integers:
+ * <pre>
+ * {"instances": [[0, 1, 2], [3, 4, 5],...]}
+ * </pre>
+ * Tensors (in this case, two-dimensional tensors):
+ * <pre>
+ * {"instances": [[[0, 1, 2], [3, 4, 5]], ...]}
+ * </pre>
+ * Images represented as a three-dimensional list. In this encoding scheme the
+ * first two dimensions represent the rows and columns of the image, and the
+ * third contains the R, G, and B values for each pixel.
+ * <pre>
+ * {"instances": [[[[138, 30, 66], [130, 20, 56], ...]]]]}
+ * </pre>
+ * Data must be encoded as UTF-8. If your data uses another character encoding,
+ * you must base64 encode the data and mark it as binary. To mark a JSON string
+ * as binary, replace it with an object with a single attribute named `b`:
+ * <pre>{"b": "..."} </pre>
+ * For example:
+ *
+ * Two Serialized tf.Examples (fake data, for illustrative purposes only):
+ * <pre>
+ * {"instances": [{"b64": "X5ad6u"}, {"b64": "IA9j4nx"}]}
+ * </pre>
+ * Two JPEG image byte strings (fake data, for illustrative purposes only):
+ * <pre>
+ * {"instances": [{"b64": "ASa8asdf"}, {"b64": "JLK7ljk3"}]}
+ * </pre>
+ * If your data includes named references, format each instance as a JSON object
+ * with the named references as the keys:
+ *
+ * JSON input data to be preprocessed:
+ * <pre>
+ * {"instances": [{"a": 1.0,  "b": true,  "c": "x"},
+ *                {"a": -2.0, "b": false, "c": "y"}]}
+ * </pre>
+ * Some models have an underlying TensorFlow graph that accepts multiple input
+ * tensors. In this case, you should use the names of JSON name/value pairs to
+ * identify the input tensors, as shown in the following exmaples:
+ *
+ * For a graph with input tensor aliases "tag" (string) and "image"
+ * (base64-encoded string):
+ * <pre>
+ * {"instances": [{"tag": "beach", "image": {"b64": "ASa8asdf"}},
+ *                {"tag": "car", "image": {"b64": "JLK7ljk3"}}]}
+ * </pre>
+ * For a graph with input tensor aliases "tag" (string) and "image"
+ * (3-dimensional array of 8-bit ints):
+ * <pre>
+ * {"instances": [{"tag": "beach", "image": [[[263, 1, 10], [262, 2, 11],
+ * ...]]},
+ * {"tag": "car", "image": [[[10, 11, 24], [23, 10, 15], ...]]}]}
+ * </pre>
+ * If the call is successful, the response body will contain one prediction
+ * entry per instance in the request body. If prediction fails for any
+ * instance, the response body will contain no predictions and will contian
+ * a single error entry instead.
+ */
+class GoogleCloudMlV1beta1PredictRequest {
+  /**
+   *
+   * Required. The prediction request body.
+   */
+  GoogleApiHttpBody httpBody;
+
+  GoogleCloudMlV1beta1PredictRequest();
+
+  GoogleCloudMlV1beta1PredictRequest.fromJson(core.Map _json) {
+    if (_json.containsKey("httpBody")) {
+      httpBody = new GoogleApiHttpBody.fromJson(_json["httpBody"]);
+    }
+  }
+
+  core.Map toJson() {
+    var _json = new core.Map();
+    if (httpBody != null) {
+      _json["httpBody"] = (httpBody).toJson();
+    }
+    return _json;
+  }
+}
+
+/** Represents input parameters for a prediction job. */
+class GoogleCloudMlV1beta1PredictionInput {
+  /**
+   * Required. The format of the input data files.
+   * Possible string values are:
+   * - "DATA_FORMAT_UNSPECIFIED" : Unspecified format.
+   * - "TEXT" : The source file is a text file with instances separated by the
+   * new-line character.
+   * - "TF_RECORD" : The source file is a TFRecord file.
+   * - "TF_RECORD_GZIP" : The source file is a GZIP-compressed TFRecord file.
+   */
+  core.String dataFormat;
+  /**
+   * Required. The Google Cloud Storage location of the input data files.
+   * May contain wildcards.
+   */
+  core.List<core.String> inputPaths;
+  /**
+   * Optional. The maximum number of workers to be used for parallel processing.
+   * Defaults to 10 if not specified.
+   */
+  core.String maxWorkerCount;
+  /**
+   * Use this field if you want to use the default version for the specified
+   * model. The string must use the following format:
+   *
+   * `"projects/<var>[YOUR_PROJECT]</var>/models/<var>[YOUR_MODEL]</var>"`
+   */
+  core.String modelName;
+  /** Required. The output Google Cloud Storage location. */
+  core.String outputPath;
+  /**
+   * Required. The Google Compute Engine region to run the prediction job in.
+   */
+  core.String region;
+  /**
+   * 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/<var>[YOUR_PROJECT]</var>/models/<var>YOUR_MODEL/versions/<var>[YOUR_VERSION]</var>"`
+   */
+  core.String versionName;
+
+  GoogleCloudMlV1beta1PredictionInput();
+
+  GoogleCloudMlV1beta1PredictionInput.fromJson(core.Map _json) {
+    if (_json.containsKey("dataFormat")) {
+      dataFormat = _json["dataFormat"];
+    }
+    if (_json.containsKey("inputPaths")) {
+      inputPaths = _json["inputPaths"];
+    }
+    if (_json.containsKey("maxWorkerCount")) {
+      maxWorkerCount = _json["maxWorkerCount"];
+    }
+    if (_json.containsKey("modelName")) {
+      modelName = _json["modelName"];
+    }
+    if (_json.containsKey("outputPath")) {
+      outputPath = _json["outputPath"];
+    }
+    if (_json.containsKey("region")) {
+      region = _json["region"];
+    }
+    if (_json.containsKey("versionName")) {
+      versionName = _json["versionName"];
+    }
+  }
+
+  core.Map toJson() {
+    var _json = new core.Map();
+    if (dataFormat != null) {
+      _json["dataFormat"] = dataFormat;
+    }
+    if (inputPaths != null) {
+      _json["inputPaths"] = inputPaths;
+    }
+    if (maxWorkerCount != null) {
+      _json["maxWorkerCount"] = maxWorkerCount;
+    }
+    if (modelName != null) {
+      _json["modelName"] = modelName;
+    }
+    if (outputPath != null) {
+      _json["outputPath"] = outputPath;
+    }
+    if (region != null) {
+      _json["region"] = region;
+    }
+    if (versionName != null) {
+      _json["versionName"] = versionName;
+    }
+    return _json;
+  }
+}
+
+/** Represents results of a prediction job. */
+class GoogleCloudMlV1beta1PredictionOutput {
+  /** The number of data instances which resulted in errors. */
+  core.String errorCount;
+  /**
+   * The output Google Cloud Storage location provided at the job creation time.
+   */
+  core.String outputPath;
+  /** The number of generated predictions. */
+  core.String predictionCount;
+
+  GoogleCloudMlV1beta1PredictionOutput();
+
+  GoogleCloudMlV1beta1PredictionOutput.fromJson(core.Map _json) {
+    if (_json.containsKey("errorCount")) {
+      errorCount = _json["errorCount"];
+    }
+    if (_json.containsKey("outputPath")) {
+      outputPath = _json["outputPath"];
+    }
+    if (_json.containsKey("predictionCount")) {
+      predictionCount = _json["predictionCount"];
+    }
+  }
+
+  core.Map toJson() {
+    var _json = new core.Map();
+    if (errorCount != null) {
+      _json["errorCount"] = errorCount;
+    }
+    if (outputPath != null) {
+      _json["outputPath"] = outputPath;
+    }
+    if (predictionCount != null) {
+      _json["predictionCount"] = predictionCount;
+    }
+    return _json;
+  }
+}
+
+/** Request message for the SetDefaultVersion request. */
+class GoogleCloudMlV1beta1SetDefaultVersionRequest {
+
+  GoogleCloudMlV1beta1SetDefaultVersionRequest();
+
+  GoogleCloudMlV1beta1SetDefaultVersionRequest.fromJson(core.Map _json) {
+  }
+
+  core.Map toJson() {
+    var _json = new core.Map();
+    return _json;
+  }
+}
+
+/** Represents input parameters for a training job. */
+class GoogleCloudMlV1beta1TrainingInput {
+  /** Optional. Command line arguments to pass to the program. */
+  core.List<core.String> args;
+  /** Optional. The set of Hyperparameters to tune. */
+  GoogleCloudMlV1beta1HyperparameterSpec hyperparameters;
+  /**
+   * Optional. Specifies the type of virtual machine to use for your training
+   * job's master worker.
+   *
+   * The following types are supported:
+   *
+   * <dl>
+   *   <dt>standard</dt>
+   *   <dd>
+   *   A basic machine configuration suitable for training simple models with
+   *   small to moderate datasets.
+   *   </dd>
+   *   <dt>large_model</dt>
+   *   <dd>
+   *   A machine with a lot of memory, specially suited for parameter servers
+   *   when your model is large (having many hidden layers or layers with very
+   *   large numbers of nodes).
+   *   </dd>
+   *   <dt>complex_model_s</dt>
+   *   <dd>
+   *   A machine suitable for the master and workers of the cluster when your
+   *   model requires more computation than the standard machine can handle
+   *   satisfactorily.
+   *   </dd>
+   *   <dt>complex_model_m</dt>
+   *   <dd>
+   *   A machine with roughly twice the number of cores and roughly double the
+   *   memory of <code suppresswarning="true">complex_model_s</code>.
+   *   </dd>
+   *   <dt>complex_model_l</dt>
+   *   <dd>
+   *   A machine with roughly twice the number of cores and roughly double the
+   *   memory of <code suppresswarning="true">complex_model_m</code>.
+   *   </dd>
+   * </dl>
+   *
+   * You must set this value when `scaleTier` is set to `CUSTOM`.
+   */
+  core.String masterType;
+  /**
+   * Required. The Google Cloud Storage location of the packages with
+   * the training program and any additional dependencies.
+   */
+  core.List<core.String> packageUris;
+  /**
+   * 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`.
+   */
+  core.String 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 present when `scaleTier` is set to `CUSTOM` and
+   * `parameter_server_count` is greater than zero.
+   */
+  core.String parameterServerType;
+  /** Required. The Python module name to run after installing the packages. */
+  core.String pythonModule;
+  /** Required. The Google Compute Engine region to run the training job in. */
+  core.String region;
+  /**
+   * Required. Specifies the machine types, the number of replicas for workers
+   * and parameter servers.
+   * Possible string values are:
+   * - "BASIC" : A single worker instance. This tier is suitable for learning
+   * how to use
+   * Cloud ML, and for experimenting with new models using small datasets.
+   * - "STANDARD_1" : Many workers and a few parameter servers.
+   * - "PREMIUM_1" : A large number of workers with many parameter servers.
+   * - "CUSTOM" : 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.
+   */
+  core.String scaleTier;
+  /**
+   * 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`.
+   */
+  core.String 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 present when `scaleTier` is set to `CUSTOM` and
+   * `workerCount` is greater than zero.
+   */
+  core.String workerType;
+
+  GoogleCloudMlV1beta1TrainingInput();
+
+  GoogleCloudMlV1beta1TrainingInput.fromJson(core.Map _json) {
+    if (_json.containsKey("args")) {
+      args = _json["args"];
+    }
+    if (_json.containsKey("hyperparameters")) {
+      hyperparameters = new GoogleCloudMlV1beta1HyperparameterSpec.fromJson(_json["hyperparameters"]);
+    }
+    if (_json.containsKey("masterType")) {
+      masterType = _json["masterType"];
+    }
+    if (_json.containsKey("packageUris")) {
+      packageUris = _json["packageUris"];
+    }
+    if (_json.containsKey("parameterServerCount")) {
+      parameterServerCount = _json["parameterServerCount"];
+    }
+    if (_json.containsKey("parameterServerType")) {
+      parameterServerType = _json["parameterServerType"];
+    }
+    if (_json.containsKey("pythonModule")) {
+      pythonModule = _json["pythonModule"];
+    }
+    if (_json.containsKey("region")) {
+      region = _json["region"];
+    }
+    if (_json.containsKey("scaleTier")) {
+      scaleTier = _json["scaleTier"];
+    }
+    if (_json.containsKey("workerCount")) {
+      workerCount = _json["workerCount"];
+    }
+    if (_json.containsKey("workerType")) {
+      workerType = _json["workerType"];
+    }
+  }
+
+  core.Map toJson() {
+    var _json = new core.Map();
+    if (args != null) {
+      _json["args"] = args;
+    }
+    if (hyperparameters != null) {
+      _json["hyperparameters"] = (hyperparameters).toJson();
+    }
+    if (masterType != null) {
+      _json["masterType"] = masterType;
+    }
+    if (packageUris != null) {
+      _json["packageUris"] = packageUris;
+    }
+    if (parameterServerCount != null) {
+      _json["parameterServerCount"] = parameterServerCount;
+    }
+    if (parameterServerType != null) {
+      _json["parameterServerType"] = parameterServerType;
+    }
+    if (pythonModule != null) {
+      _json["pythonModule"] = pythonModule;
+    }
+    if (region != null) {
+      _json["region"] = region;
+    }
+    if (scaleTier != null) {
+      _json["scaleTier"] = scaleTier;
+    }
+    if (workerCount != null) {
+      _json["workerCount"] = workerCount;
+    }
+    if (workerType != null) {
+      _json["workerType"] = workerType;
+    }
+    return _json;
+  }
+}
+
+/** Represents results of a training job. */
+class GoogleCloudMlV1beta1TrainingOutput {
+  /**
+   * The number of hyperparameter tuning trials that completed successfully.
+   */
+  core.String completedTrialCount;
+  /** Results for individual Hyperparameter trials. */
+  core.List<GoogleCloudMlV1beta1HyperparameterOutput> trials;
+
+  GoogleCloudMlV1beta1TrainingOutput();
+
+  GoogleCloudMlV1beta1TrainingOutput.fromJson(core.Map _json) {
+    if (_json.containsKey("completedTrialCount")) {
+      completedTrialCount = _json["completedTrialCount"];
+    }
+    if (_json.containsKey("trials")) {
+      trials = _json["trials"].map((value) => new GoogleCloudMlV1beta1HyperparameterOutput.fromJson(value)).toList();
+    }
+  }
+
+  core.Map toJson() {
+    var _json = new core.Map();
+    if (completedTrialCount != null) {
+      _json["completedTrialCount"] = completedTrialCount;
+    }
+    if (trials != null) {
+      _json["trials"] = trials.map((value) => (value).toJson()).toList();
+    }
+    return _json;
+  }
+}
+
+/**
+ * Represents a version of the model.
+ *
+ * Each version is a trained model deployed in the cloud, ready to handle
+ * prediction requests. A model can have multiple versions. You can get
+ * information about all of the versions of a given model by calling
+ * [projects.models.versions.list](/ml/reference/rest/v1beta1/projects.models.versions/list).
+ */
+class GoogleCloudMlV1beta1Version {
+  /** Output only. The time the version was created. */
+  core.String createTime;
+  /**
+   * Required. The Google Cloud Storage location of the trained model used to
+   * create the version. See the
+   * [overview of model deployment](/ml/docs/concepts/deployment-overview) for
+   * more informaiton.
+   *
+   * When passing Version to
+   * [projects.models.versions.create](/ml/reference/rest/v1beta1/projects.models.versions/create)
+   * the model service uses the specified location as the source of the model.
+   * Once deployed, the model version is hosted by the prediction service, so
+   * this location is useful only as a historical record.
+   */
+  core.String deploymentUri;
+  /**
+   * Optional. The description specified for the version when it was created.
+   */
+  core.String description;
+  /**
+   * 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](/ml/reference/rest/v1beta1/projects.models.versions/setDefault).
+   */
+  core.bool isDefault;
+  /** Output only. The time the version was last used for prediction. */
+  core.String lastUseTime;
+  /**
+   * Required.The name specified for the version when it was created.
+   *
+   * The version name must be unique within the model it is created in.
+   */
+  core.String name;
+
+  GoogleCloudMlV1beta1Version();
+
+  GoogleCloudMlV1beta1Version.fromJson(core.Map _json) {
+    if (_json.containsKey("createTime")) {
+      createTime = _json["createTime"];
+    }
+    if (_json.containsKey("deploymentUri")) {
+      deploymentUri = _json["deploymentUri"];
+    }
+    if (_json.containsKey("description")) {
+      description = _json["description"];
+    }
+    if (_json.containsKey("isDefault")) {
+      isDefault = _json["isDefault"];
+    }
+    if (_json.containsKey("lastUseTime")) {
+      lastUseTime = _json["lastUseTime"];
+    }
+    if (_json.containsKey("name")) {
+      name = _json["name"];
+    }
+  }
+
+  core.Map toJson() {
+    var _json = new core.Map();
+    if (createTime != null) {
+      _json["createTime"] = createTime;
+    }
+    if (deploymentUri != null) {
+      _json["deploymentUri"] = deploymentUri;
+    }
+    if (description != null) {
+      _json["description"] = description;
+    }
+    if (isDefault != null) {
+      _json["isDefault"] = isDefault;
+    }
+    if (lastUseTime != null) {
+      _json["lastUseTime"] = lastUseTime;
+    }
+    if (name != null) {
+      _json["name"] = name;
+    }
+    return _json;
+  }
+}
+
+/** The response message for Operations.ListOperations. */
+class GoogleLongrunningListOperationsResponse {
+  /** The standard List next-page token. */
+  core.String nextPageToken;
+  /** A list of operations that matches the specified filter in the request. */
+  core.List<GoogleLongrunningOperation> operations;
+
+  GoogleLongrunningListOperationsResponse();
+
+  GoogleLongrunningListOperationsResponse.fromJson(core.Map _json) {
+    if (_json.containsKey("nextPageToken")) {
+      nextPageToken = _json["nextPageToken"];
+    }
+    if (_json.containsKey("operations")) {
+      operations = _json["operations"].map((value) => new GoogleLongrunningOperation.fromJson(value)).toList();
+    }
+  }
+
+  core.Map toJson() {
+    var _json = new core.Map();
+    if (nextPageToken != null) {
+      _json["nextPageToken"] = nextPageToken;
+    }
+    if (operations != null) {
+      _json["operations"] = operations.map((value) => (value).toJson()).toList();
+    }
+    return _json;
+  }
+}
+
+/**
+ * This resource represents a long-running operation that is the result of a
+ * network API call.
+ */
+class GoogleLongrunningOperation {
+  /**
+   * 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.
+   */
+  core.bool done;
+  /** The error result of the operation in case of failure or cancellation. */
+  GoogleRpcStatus 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.
+   *
+   * The values for Object must be JSON objects. It can consist of `num`,
+   * `String`, `bool` and `null` as well as `Map` and `List` values.
+   */
+  core.Map<core.String, core.Object> 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 have the format of `operations/some/unique/name`.
+   */
+  core.String name;
+  /**
+   * The normal response of the operation in case of success.  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`.
+   *
+   * The values for Object must be JSON objects. It can consist of `num`,
+   * `String`, `bool` and `null` as well as `Map` and `List` values.
+   */
+  core.Map<core.String, core.Object> response;
+
+  GoogleLongrunningOperation();
+
+  GoogleLongrunningOperation.fromJson(core.Map _json) {
+    if (_json.containsKey("done")) {
+      done = _json["done"];
+    }
+    if (_json.containsKey("error")) {
+      error = new GoogleRpcStatus.fromJson(_json["error"]);
+    }
+    if (_json.containsKey("metadata")) {
+      metadata = _json["metadata"];
+    }
+    if (_json.containsKey("name")) {
+      name = _json["name"];
+    }
+    if (_json.containsKey("response")) {
+      response = _json["response"];
+    }
+  }
+
+  core.Map toJson() {
+    var _json = new core.Map();
+    if (done != null) {
+      _json["done"] = done;
+    }
+    if (error != null) {
+      _json["error"] = (error).toJson();
+    }
+    if (metadata != null) {
+      _json["metadata"] = metadata;
+    }
+    if (name != null) {
+      _json["name"] = name;
+    }
+    if (response != null) {
+      _json["response"] = response;
+    }
+    return _json;
+  }
+}
+
+/**
+ * A generic empty message that you can re-use to avoid defining duplicated
+ * empty messages in your APIs. A typical example is to use it as the request
+ * or the response type of an API method. For instance:
+ *
+ *     service Foo {
+ *       rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);
+ *     }
+ *
+ * The JSON representation for `Empty` is empty JSON object `{}`.
+ */
+class GoogleProtobufEmpty {
+
+  GoogleProtobufEmpty();
+
+  GoogleProtobufEmpty.fromJson(core.Map _json) {
+  }
+
+  core.Map toJson() {
+    var _json = new core.Map();
+    return _json;
+  }
+}
+
+/**
+ * The `Status` type defines a logical error model that is suitable for
+ * different
+ * programming environments, including REST APIs and RPC APIs. It is used by
+ * [gRPC](https://github.com/grpc). The error model is designed to be:
+ *
+ * - Simple to use and understand for most users
+ * - Flexible enough to meet unexpected needs
+ *
+ * # Overview
+ *
+ * The `Status` message contains three pieces of data: error code, error
+ * message,
+ * and error details. The error code should be an enum value of
+ * google.rpc.Code, but it may accept additional error codes if needed.  The
+ * error message should be a developer-facing English message that helps
+ * developers *understand* and *resolve* the error. If a localized user-facing
+ * error message is needed, put the localized message in the error details or
+ * localize it in the client. The optional error details may contain arbitrary
+ * information about the error. There is a predefined set of error detail types
+ * in the package `google.rpc` which can be used for common error conditions.
+ *
+ * # Language mapping
+ *
+ * The `Status` message is the logical representation of the error model, but it
+ * is not necessarily the actual wire format. When the `Status` message is
+ * exposed in different client libraries and different wire protocols, it can be
+ * mapped differently. For example, it will likely be mapped to some exceptions
+ * in Java, but more likely mapped to some error codes in C.
+ *
+ * # Other uses
+ *
+ * The error model and the `Status` message can be used in a variety of
+ * environments, either with or without APIs, to provide a
+ * consistent developer experience across different environments.
+ *
+ * Example uses of this error model include:
+ *
+ * - Partial errors. If a service needs to return partial errors to the client,
+ *     it may embed the `Status` in the normal response to indicate the partial
+ *     errors.
+ *
+ * - Workflow errors. A typical workflow has multiple steps. Each step may
+ *     have a `Status` message for error reporting purpose.
+ *
+ * - Batch operations. If a client uses batch request and batch response, the
+ *     `Status` message should be used directly inside batch response, one for
+ *     each error sub-response.
+ *
+ * - Asynchronous operations. If an API call embeds asynchronous operation
+ *     results in its response, the status of those operations should be
+ *     represented directly using the `Status` message.
+ *
+ * - Logging. If some API errors are stored in logs, the message `Status` could
+ * be used directly after any stripping needed for security/privacy reasons.
+ */
+class GoogleRpcStatus {
+  /** The status code, which should be an enum value of google.rpc.Code. */
+  core.int code;
+  /**
+   * A list of messages that carry the error details.  There will be a
+   * common set of message types for APIs to use.
+   *
+   * The values for Object must be JSON objects. It can consist of `num`,
+   * `String`, `bool` and `null` as well as `Map` and `List` values.
+   */
+  core.List<core.Map<core.String, core.Object>> 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.
+   */
+  core.String message;
+
+  GoogleRpcStatus();
+
+  GoogleRpcStatus.fromJson(core.Map _json) {
+    if (_json.containsKey("code")) {
+      code = _json["code"];
+    }
+    if (_json.containsKey("details")) {
+      details = _json["details"];
+    }
+    if (_json.containsKey("message")) {
+      message = _json["message"];
+    }
+  }
+
+  core.Map toJson() {
+    var _json = new core.Map();
+    if (code != null) {
+      _json["code"] = code;
+    }
+    if (details != null) {
+      _json["details"] = details;
+    }
+    if (message != null) {
+      _json["message"] = message;
+    }
+    return _json;
+  }
+}