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backend/node_modules/googleapis/apis/prediction/v1.6.js

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+"use strict";
+/**
+ * Copyright 2015 Google Inc. All Rights Reserved.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+/* jshint maxlen: false */
+const apirequest_1 = require("../../lib/apirequest");
+/**
+ * Prediction API
+ *
+ * Lets you access a cloud hosted machine learning service that makes it easy to build smart apps
+ *
+ * @example
+ * const google = require('googleapis');
+ * const prediction = google.prediction('v1.6');
+ *
+ * @namespace prediction
+ * @type {Function}
+ * @version v1.6
+ * @variation v1.6
+ * @param {object=} options Options for Prediction
+ */
+function Prediction(options) {
+    const self = this;
+    self._options = options || {};
+    self.hostedmodels = {
+        /**
+         * prediction.hostedmodels.predict
+         *
+         * @desc Submit input and request an output against a hosted model.
+         *
+         * @example
+         * // BEFORE RUNNING:
+         * // ---------------
+         * // 1. If not already done, enable the Prediction API
+         * //    and check the quota for your project at
+         * //    https://console.developers.google.com/apis/api/prediction
+         * // 2. This sample uses Application Default Credentials for authentication.
+         * //    If not already done, install the gcloud CLI from
+         * //    https://cloud.google.com/sdk and run
+         * //    `gcloud beta auth application-default login`.
+         * //    For more information, see
+         * //    https://developers.google.com/identity/protocols/application-default-credentials
+         * // 3. Install the Node.js client library by running
+         * //    `npm install googleapis --save`
+         *
+         * var google = require('googleapis');
+         * var prediction = google.prediction('v1.6');
+         *
+         * authorize(function(authClient) {
+         *   var request = {
+         *     // The project associated with the model.
+         *     project: 'my-project',  // TODO: Update placeholder value.
+         *
+         *     // The name of a hosted model.
+         *     hostedModelName: 'my-hosted-model-name',  // TODO: Update placeholder value.
+         *
+         *     resource: {
+         *       // TODO: Add desired properties to the request body.
+         *     },
+         *
+         *     auth: authClient,
+         *   };
+         *
+         *   prediction.hostedmodels.predict(request, function(err, response) {
+         *     if (err) {
+         *       console.error(err);
+         *       return;
+         *     }
+         *
+         *     // TODO: Change code below to process the `response` object:
+         *     console.log(JSON.stringify(response, null, 2));
+         *   });
+         * });
+         *
+         * function authorize(callback) {
+         *   google.auth.getApplicationDefault(function(err, authClient) {
+         *     if (err) {
+         *       console.error('authentication failed: ', err);
+         *       return;
+         *     }
+         *     if (authClient.createScopedRequired && authClient.createScopedRequired()) {
+         *       var scopes = ['https://www.googleapis.com/auth/cloud-platform'];
+         *       authClient = authClient.createScoped(scopes);
+         *     }
+         *     callback(authClient);
+         *   });
+         * }
+         *
+         * @alias prediction.hostedmodels.predict
+         * @memberOf! prediction(v1.6)
+         *
+         * @param {object} params Parameters for request
+         * @param {string} params.hostedModelName The name of a hosted model.
+         * @param {string} params.project The project associated with the model.
+         * @param {prediction(v1.6).Input} params.resource Request body data
+         * @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
+         * @param {callback} callback The callback that handles the response.
+         * @return {object} Request object
+         */
+        predict: function (params, options, callback) {
+            if (typeof options === 'function') {
+                callback = options;
+                options = {};
+            }
+            options || (options = {});
+            const rootUrl = options.rootUrl || 'https://www.googleapis.com/';
+            const parameters = {
+                options: Object.assign({
+                    url: (rootUrl + '/prediction/v1.6/projects/{project}/hostedmodels/{hostedModelName}/predict').replace(/([^:]\/)\/+/g, '$1'),
+                    method: 'POST'
+                }, options),
+                params: params,
+                requiredParams: ['project', 'hostedModelName'],
+                pathParams: ['hostedModelName', 'project'],
+                context: self
+            };
+            return apirequest_1.default(parameters, callback);
+        }
+    };
+    self.trainedmodels = {
+        /**
+         * prediction.trainedmodels.analyze
+         *
+         * @desc Get analysis of the model and the data the model was trained on.
+         *
+         * @example
+         * // BEFORE RUNNING:
+         * // ---------------
+         * // 1. If not already done, enable the Prediction API
+         * //    and check the quota for your project at
+         * //    https://console.developers.google.com/apis/api/prediction
+         * // 2. This sample uses Application Default Credentials for authentication.
+         * //    If not already done, install the gcloud CLI from
+         * //    https://cloud.google.com/sdk and run
+         * //    `gcloud beta auth application-default login`.
+         * //    For more information, see
+         * //    https://developers.google.com/identity/protocols/application-default-credentials
+         * // 3. Install the Node.js client library by running
+         * //    `npm install googleapis --save`
+         *
+         * var google = require('googleapis');
+         * var prediction = google.prediction('v1.6');
+         *
+         * authorize(function(authClient) {
+         *   var request = {
+         *     // The project associated with the model.
+         *     project: 'my-project',  // TODO: Update placeholder value.
+         *
+         *     // The unique name for the predictive model.
+         *     id: 'my-id',  // TODO: Update placeholder value.
+         *
+         *     auth: authClient,
+         *   };
+         *
+         *   prediction.trainedmodels.analyze(request, function(err, response) {
+         *     if (err) {
+         *       console.error(err);
+         *       return;
+         *     }
+         *
+         *     // TODO: Change code below to process the `response` object:
+         *     console.log(JSON.stringify(response, null, 2));
+         *   });
+         * });
+         *
+         * function authorize(callback) {
+         *   google.auth.getApplicationDefault(function(err, authClient) {
+         *     if (err) {
+         *       console.error('authentication failed: ', err);
+         *       return;
+         *     }
+         *     if (authClient.createScopedRequired && authClient.createScopedRequired()) {
+         *       var scopes = ['https://www.googleapis.com/auth/cloud-platform'];
+         *       authClient = authClient.createScoped(scopes);
+         *     }
+         *     callback(authClient);
+         *   });
+         * }
+         *
+         * @alias prediction.trainedmodels.analyze
+         * @memberOf! prediction(v1.6)
+         *
+         * @param {object} params Parameters for request
+         * @param {string} params.id The unique name for the predictive model.
+         * @param {string} params.project The project associated with the model.
+         * @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
+         * @param {callback} callback The callback that handles the response.
+         * @return {object} Request object
+         */
+        analyze: function (params, options, callback) {
+            if (typeof options === 'function') {
+                callback = options;
+                options = {};
+            }
+            options || (options = {});
+            const rootUrl = options.rootUrl || 'https://www.googleapis.com/';
+            const parameters = {
+                options: Object.assign({
+                    url: (rootUrl + '/prediction/v1.6/projects/{project}/trainedmodels/{id}/analyze').replace(/([^:]\/)\/+/g, '$1'),
+                    method: 'GET'
+                }, options),
+                params: params,
+                requiredParams: ['project', 'id'],
+                pathParams: ['id', 'project'],
+                context: self
+            };
+            return apirequest_1.default(parameters, callback);
+        },
+        /**
+         * prediction.trainedmodels.delete
+         *
+         * @desc Delete a trained model.
+         *
+         * @example
+         * // BEFORE RUNNING:
+         * // ---------------
+         * // 1. If not already done, enable the Prediction API
+         * //    and check the quota for your project at
+         * //    https://console.developers.google.com/apis/api/prediction
+         * // 2. This sample uses Application Default Credentials for authentication.
+         * //    If not already done, install the gcloud CLI from
+         * //    https://cloud.google.com/sdk and run
+         * //    `gcloud beta auth application-default login`.
+         * //    For more information, see
+         * //    https://developers.google.com/identity/protocols/application-default-credentials
+         * // 3. Install the Node.js client library by running
+         * //    `npm install googleapis --save`
+         *
+         * var google = require('googleapis');
+         * var prediction = google.prediction('v1.6');
+         *
+         * authorize(function(authClient) {
+         *   var request = {
+         *     // The project associated with the model.
+         *     project: 'my-project',  // TODO: Update placeholder value.
+         *
+         *     // The unique name for the predictive model.
+         *     id: 'my-id',  // TODO: Update placeholder value.
+         *
+         *     auth: authClient,
+         *   };
+         *
+         *   prediction.trainedmodels.delete(request, function(err) {
+         *     if (err) {
+         *       console.error(err);
+         *       return;
+         *     }
+         *   });
+         * });
+         *
+         * function authorize(callback) {
+         *   google.auth.getApplicationDefault(function(err, authClient) {
+         *     if (err) {
+         *       console.error('authentication failed: ', err);
+         *       return;
+         *     }
+         *     if (authClient.createScopedRequired && authClient.createScopedRequired()) {
+         *       var scopes = ['https://www.googleapis.com/auth/cloud-platform'];
+         *       authClient = authClient.createScoped(scopes);
+         *     }
+         *     callback(authClient);
+         *   });
+         * }
+         *
+         * @alias prediction.trainedmodels.delete
+         * @memberOf! prediction(v1.6)
+         *
+         * @param {object} params Parameters for request
+         * @param {string} params.id The unique name for the predictive model.
+         * @param {string} params.project The project associated with the model.
+         * @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
+         * @param {callback} callback The callback that handles the response.
+         * @return {object} Request object
+         */
+        delete: function (params, options, callback) {
+            if (typeof options === 'function') {
+                callback = options;
+                options = {};
+            }
+            options || (options = {});
+            const rootUrl = options.rootUrl || 'https://www.googleapis.com/';
+            const parameters = {
+                options: Object.assign({
+                    url: (rootUrl + '/prediction/v1.6/projects/{project}/trainedmodels/{id}').replace(/([^:]\/)\/+/g, '$1'),
+                    method: 'DELETE'
+                }, options),
+                params: params,
+                requiredParams: ['project', 'id'],
+                pathParams: ['id', 'project'],
+                context: self
+            };
+            return apirequest_1.default(parameters, callback);
+        },
+        /**
+         * prediction.trainedmodels.get
+         *
+         * @desc Check training status of your model.
+         *
+         * @example
+         * // BEFORE RUNNING:
+         * // ---------------
+         * // 1. If not already done, enable the Prediction API
+         * //    and check the quota for your project at
+         * //    https://console.developers.google.com/apis/api/prediction
+         * // 2. This sample uses Application Default Credentials for authentication.
+         * //    If not already done, install the gcloud CLI from
+         * //    https://cloud.google.com/sdk and run
+         * //    `gcloud beta auth application-default login`.
+         * //    For more information, see
+         * //    https://developers.google.com/identity/protocols/application-default-credentials
+         * // 3. Install the Node.js client library by running
+         * //    `npm install googleapis --save`
+         *
+         * var google = require('googleapis');
+         * var prediction = google.prediction('v1.6');
+         *
+         * authorize(function(authClient) {
+         *   var request = {
+         *     // The project associated with the model.
+         *     project: 'my-project',  // TODO: Update placeholder value.
+         *
+         *     // The unique name for the predictive model.
+         *     id: 'my-id',  // TODO: Update placeholder value.
+         *
+         *     auth: authClient,
+         *   };
+         *
+         *   prediction.trainedmodels.get(request, function(err, response) {
+         *     if (err) {
+         *       console.error(err);
+         *       return;
+         *     }
+         *
+         *     // TODO: Change code below to process the `response` object:
+         *     console.log(JSON.stringify(response, null, 2));
+         *   });
+         * });
+         *
+         * function authorize(callback) {
+         *   google.auth.getApplicationDefault(function(err, authClient) {
+         *     if (err) {
+         *       console.error('authentication failed: ', err);
+         *       return;
+         *     }
+         *     if (authClient.createScopedRequired && authClient.createScopedRequired()) {
+         *       var scopes = ['https://www.googleapis.com/auth/cloud-platform'];
+         *       authClient = authClient.createScoped(scopes);
+         *     }
+         *     callback(authClient);
+         *   });
+         * }
+         *
+         * @alias prediction.trainedmodels.get
+         * @memberOf! prediction(v1.6)
+         *
+         * @param {object} params Parameters for request
+         * @param {string} params.id The unique name for the predictive model.
+         * @param {string} params.project The project associated with the model.
+         * @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
+         * @param {callback} callback The callback that handles the response.
+         * @return {object} Request object
+         */
+        get: function (params, options, callback) {
+            if (typeof options === 'function') {
+                callback = options;
+                options = {};
+            }
+            options || (options = {});
+            const rootUrl = options.rootUrl || 'https://www.googleapis.com/';
+            const parameters = {
+                options: Object.assign({
+                    url: (rootUrl + '/prediction/v1.6/projects/{project}/trainedmodels/{id}').replace(/([^:]\/)\/+/g, '$1'),
+                    method: 'GET'
+                }, options),
+                params: params,
+                requiredParams: ['project', 'id'],
+                pathParams: ['id', 'project'],
+                context: self
+            };
+            return apirequest_1.default(parameters, callback);
+        },
+        /**
+         * prediction.trainedmodels.insert
+         *
+         * @desc Train a Prediction API model.
+         *
+         * @example
+         * // BEFORE RUNNING:
+         * // ---------------
+         * // 1. If not already done, enable the Prediction API
+         * //    and check the quota for your project at
+         * //    https://console.developers.google.com/apis/api/prediction
+         * // 2. This sample uses Application Default Credentials for authentication.
+         * //    If not already done, install the gcloud CLI from
+         * //    https://cloud.google.com/sdk and run
+         * //    `gcloud beta auth application-default login`.
+         * //    For more information, see
+         * //    https://developers.google.com/identity/protocols/application-default-credentials
+         * // 3. Install the Node.js client library by running
+         * //    `npm install googleapis --save`
+         *
+         * var google = require('googleapis');
+         * var prediction = google.prediction('v1.6');
+         *
+         * authorize(function(authClient) {
+         *   var request = {
+         *     // The project associated with the model.
+         *     project: 'my-project',  // TODO: Update placeholder value.
+         *
+         *     resource: {
+         *       // TODO: Add desired properties to the request body.
+         *     },
+         *
+         *     auth: authClient,
+         *   };
+         *
+         *   prediction.trainedmodels.insert(request, function(err, response) {
+         *     if (err) {
+         *       console.error(err);
+         *       return;
+         *     }
+         *
+         *     // TODO: Change code below to process the `response` object:
+         *     console.log(JSON.stringify(response, null, 2));
+         *   });
+         * });
+         *
+         * function authorize(callback) {
+         *   google.auth.getApplicationDefault(function(err, authClient) {
+         *     if (err) {
+         *       console.error('authentication failed: ', err);
+         *       return;
+         *     }
+         *     if (authClient.createScopedRequired && authClient.createScopedRequired()) {
+         *       var scopes = ['https://www.googleapis.com/auth/cloud-platform'];
+         *       authClient = authClient.createScoped(scopes);
+         *     }
+         *     callback(authClient);
+         *   });
+         * }
+         *
+         * @alias prediction.trainedmodels.insert
+         * @memberOf! prediction(v1.6)
+         *
+         * @param {object} params Parameters for request
+         * @param {string} params.project The project associated with the model.
+         * @param {prediction(v1.6).Insert} params.resource Request body data
+         * @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
+         * @param {callback} callback The callback that handles the response.
+         * @return {object} Request object
+         */
+        insert: function (params, options, callback) {
+            if (typeof options === 'function') {
+                callback = options;
+                options = {};
+            }
+            options || (options = {});
+            const rootUrl = options.rootUrl || 'https://www.googleapis.com/';
+            const parameters = {
+                options: Object.assign({
+                    url: (rootUrl + '/prediction/v1.6/projects/{project}/trainedmodels').replace(/([^:]\/)\/+/g, '$1'),
+                    method: 'POST'
+                }, options),
+                params: params,
+                requiredParams: ['project'],
+                pathParams: ['project'],
+                context: self
+            };
+            return apirequest_1.default(parameters, callback);
+        },
+        /**
+         * prediction.trainedmodels.list
+         *
+         * @desc List available models.
+         *
+         * @example
+         * // BEFORE RUNNING:
+         * // ---------------
+         * // 1. If not already done, enable the Prediction API
+         * //    and check the quota for your project at
+         * //    https://console.developers.google.com/apis/api/prediction
+         * // 2. This sample uses Application Default Credentials for authentication.
+         * //    If not already done, install the gcloud CLI from
+         * //    https://cloud.google.com/sdk and run
+         * //    `gcloud beta auth application-default login`.
+         * //    For more information, see
+         * //    https://developers.google.com/identity/protocols/application-default-credentials
+         * // 3. Install the Node.js client library by running
+         * //    `npm install googleapis --save`
+         *
+         * var google = require('googleapis');
+         * var prediction = google.prediction('v1.6');
+         *
+         * authorize(function(authClient) {
+         *   var request = {
+         *     // The project associated with the model.
+         *     project: 'my-project',  // TODO: Update placeholder value.
+         *
+         *     auth: authClient,
+         *   };
+         *
+         *   var handlePage = function(err, response) {
+         *     if (err) {
+         *       console.error(err);
+         *       return;
+         *     }
+         *
+         *     var itemsPage = response['items'];
+         *     if (!itemsPage) {
+         *       return;
+         *     }
+         *     for (var i = 0; i < itemsPage.length; i++) {
+         *       // TODO: Change code below to process each resource in `itemsPage`:
+         *       console.log(JSON.stringify(itemsPage[i], null, 2));
+         *     }
+         *
+         *     if (response.nextPageToken) {
+         *       request.pageToken = response.nextPageToken;
+         *       prediction.trainedmodels.list(request, handlePage);
+         *     }
+         *   };
+         *
+         *   prediction.trainedmodels.list(request, handlePage);
+         * });
+         *
+         * function authorize(callback) {
+         *   google.auth.getApplicationDefault(function(err, authClient) {
+         *     if (err) {
+         *       console.error('authentication failed: ', err);
+         *       return;
+         *     }
+         *     if (authClient.createScopedRequired && authClient.createScopedRequired()) {
+         *       var scopes = ['https://www.googleapis.com/auth/cloud-platform'];
+         *       authClient = authClient.createScoped(scopes);
+         *     }
+         *     callback(authClient);
+         *   });
+         * }
+         *
+         * @alias prediction.trainedmodels.list
+         * @memberOf! prediction(v1.6)
+         *
+         * @param {object} params Parameters for request
+         * @param {integer=} params.maxResults Maximum number of results to return.
+         * @param {string=} params.pageToken Pagination token.
+         * @param {string} params.project The project associated with the model.
+         * @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
+         * @param {callback} callback The callback that handles the response.
+         * @return {object} Request object
+         */
+        list: function (params, options, callback) {
+            if (typeof options === 'function') {
+                callback = options;
+                options = {};
+            }
+            options || (options = {});
+            const rootUrl = options.rootUrl || 'https://www.googleapis.com/';
+            const parameters = {
+                options: Object.assign({
+                    url: (rootUrl + '/prediction/v1.6/projects/{project}/trainedmodels/list').replace(/([^:]\/)\/+/g, '$1'),
+                    method: 'GET'
+                }, options),
+                params: params,
+                requiredParams: ['project'],
+                pathParams: ['project'],
+                context: self
+            };
+            return apirequest_1.default(parameters, callback);
+        },
+        /**
+         * prediction.trainedmodels.predict
+         *
+         * @desc Submit model id and request a prediction.
+         *
+         * @example
+         * // BEFORE RUNNING:
+         * // ---------------
+         * // 1. If not already done, enable the Prediction API
+         * //    and check the quota for your project at
+         * //    https://console.developers.google.com/apis/api/prediction
+         * // 2. This sample uses Application Default Credentials for authentication.
+         * //    If not already done, install the gcloud CLI from
+         * //    https://cloud.google.com/sdk and run
+         * //    `gcloud beta auth application-default login`.
+         * //    For more information, see
+         * //    https://developers.google.com/identity/protocols/application-default-credentials
+         * // 3. Install the Node.js client library by running
+         * //    `npm install googleapis --save`
+         *
+         * var google = require('googleapis');
+         * var prediction = google.prediction('v1.6');
+         *
+         * authorize(function(authClient) {
+         *   var request = {
+         *     // The project associated with the model.
+         *     project: 'my-project',  // TODO: Update placeholder value.
+         *
+         *     // The unique name for the predictive model.
+         *     id: 'my-id',  // TODO: Update placeholder value.
+         *
+         *     resource: {
+         *       // TODO: Add desired properties to the request body.
+         *     },
+         *
+         *     auth: authClient,
+         *   };
+         *
+         *   prediction.trainedmodels.predict(request, function(err, response) {
+         *     if (err) {
+         *       console.error(err);
+         *       return;
+         *     }
+         *
+         *     // TODO: Change code below to process the `response` object:
+         *     console.log(JSON.stringify(response, null, 2));
+         *   });
+         * });
+         *
+         * function authorize(callback) {
+         *   google.auth.getApplicationDefault(function(err, authClient) {
+         *     if (err) {
+         *       console.error('authentication failed: ', err);
+         *       return;
+         *     }
+         *     if (authClient.createScopedRequired && authClient.createScopedRequired()) {
+         *       var scopes = ['https://www.googleapis.com/auth/cloud-platform'];
+         *       authClient = authClient.createScoped(scopes);
+         *     }
+         *     callback(authClient);
+         *   });
+         * }
+         *
+         * @alias prediction.trainedmodels.predict
+         * @memberOf! prediction(v1.6)
+         *
+         * @param {object} params Parameters for request
+         * @param {string} params.id The unique name for the predictive model.
+         * @param {string} params.project The project associated with the model.
+         * @param {prediction(v1.6).Input} params.resource Request body data
+         * @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
+         * @param {callback} callback The callback that handles the response.
+         * @return {object} Request object
+         */
+        predict: function (params, options, callback) {
+            if (typeof options === 'function') {
+                callback = options;
+                options = {};
+            }
+            options || (options = {});
+            const rootUrl = options.rootUrl || 'https://www.googleapis.com/';
+            const parameters = {
+                options: Object.assign({
+                    url: (rootUrl + '/prediction/v1.6/projects/{project}/trainedmodels/{id}/predict').replace(/([^:]\/)\/+/g, '$1'),
+                    method: 'POST'
+                }, options),
+                params: params,
+                requiredParams: ['project', 'id'],
+                pathParams: ['id', 'project'],
+                context: self
+            };
+            return apirequest_1.default(parameters, callback);
+        },
+        /**
+         * prediction.trainedmodels.update
+         *
+         * @desc Add new data to a trained model.
+         *
+         * @example
+         * // BEFORE RUNNING:
+         * // ---------------
+         * // 1. If not already done, enable the Prediction API
+         * //    and check the quota for your project at
+         * //    https://console.developers.google.com/apis/api/prediction
+         * // 2. This sample uses Application Default Credentials for authentication.
+         * //    If not already done, install the gcloud CLI from
+         * //    https://cloud.google.com/sdk and run
+         * //    `gcloud beta auth application-default login`.
+         * //    For more information, see
+         * //    https://developers.google.com/identity/protocols/application-default-credentials
+         * // 3. Install the Node.js client library by running
+         * //    `npm install googleapis --save`
+         *
+         * var google = require('googleapis');
+         * var prediction = google.prediction('v1.6');
+         *
+         * authorize(function(authClient) {
+         *   var request = {
+         *     // The project associated with the model.
+         *     project: 'my-project',  // TODO: Update placeholder value.
+         *
+         *     // The unique name for the predictive model.
+         *     id: 'my-id',  // TODO: Update placeholder value.
+         *
+         *     resource: {
+         *       // TODO: Add desired properties to the request body. All existing properties
+         *       // will be replaced.
+         *     },
+         *
+         *     auth: authClient,
+         *   };
+         *
+         *   prediction.trainedmodels.update(request, function(err, response) {
+         *     if (err) {
+         *       console.error(err);
+         *       return;
+         *     }
+         *
+         *     // TODO: Change code below to process the `response` object:
+         *     console.log(JSON.stringify(response, null, 2));
+         *   });
+         * });
+         *
+         * function authorize(callback) {
+         *   google.auth.getApplicationDefault(function(err, authClient) {
+         *     if (err) {
+         *       console.error('authentication failed: ', err);
+         *       return;
+         *     }
+         *     if (authClient.createScopedRequired && authClient.createScopedRequired()) {
+         *       var scopes = ['https://www.googleapis.com/auth/cloud-platform'];
+         *       authClient = authClient.createScoped(scopes);
+         *     }
+         *     callback(authClient);
+         *   });
+         * }
+         *
+         * @alias prediction.trainedmodels.update
+         * @memberOf! prediction(v1.6)
+         *
+         * @param {object} params Parameters for request
+         * @param {string} params.id The unique name for the predictive model.
+         * @param {string} params.project The project associated with the model.
+         * @param {prediction(v1.6).Update} params.resource Request body data
+         * @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
+         * @param {callback} callback The callback that handles the response.
+         * @return {object} Request object
+         */
+        update: function (params, options, callback) {
+            if (typeof options === 'function') {
+                callback = options;
+                options = {};
+            }
+            options || (options = {});
+            const rootUrl = options.rootUrl || 'https://www.googleapis.com/';
+            const parameters = {
+                options: Object.assign({
+                    url: (rootUrl + '/prediction/v1.6/projects/{project}/trainedmodels/{id}').replace(/([^:]\/)\/+/g, '$1'),
+                    method: 'PUT'
+                }, options),
+                params: params,
+                requiredParams: ['project', 'id'],
+                pathParams: ['id', 'project'],
+                context: self
+            };
+            return apirequest_1.default(parameters, callback);
+        }
+    };
+}
+module.exports = Prediction;
+//# sourceMappingURL=v1.6.js.map