..
This commit is contained in:
GotPPay
245
backend/node_modules/googleapis/apis/prediction/v1.2.js
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245
backend/node_modules/googleapis/apis/prediction/v1.2.js
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"use strict";
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/**
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* Copyright 2015 Google Inc. All Rights Reserved.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
|
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
|
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*
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* Unless required by applicable law or agreed to in writing, software
|
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* distributed under the License is distributed on an "AS IS" BASIS,
|
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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/* jshint maxlen: false */
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const apirequest_1 = require("../../lib/apirequest");
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/**
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* Prediction API
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*
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* Lets you access a cloud hosted machine learning service that makes it easy to build smart apps
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*
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* @example
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* const google = require('googleapis');
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* const prediction = google.prediction('v1.2');
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*
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* @namespace prediction
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* @type {Function}
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* @version v1.2
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* @variation v1.2
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* @param {object=} options Options for Prediction
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*/
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function Prediction(options) {
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const self = this;
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self._options = options || {};
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/**
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* prediction.predict
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*
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* @desc Submit data and request a prediction
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*
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* @alias prediction.predict
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* @memberOf! prediction(v1.2)
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*
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* @param {object} params Parameters for request
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* @param {string} params.data mybucket%2Fmydata resource in Google Storage
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* @param {prediction(v1.2).Input} params.resource Request body data
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* @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
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* @param {callback} callback The callback that handles the response.
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* @return {object} Request object
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*/
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this.predict = function (params, options, callback) {
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if (typeof options === 'function') {
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callback = options;
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options = {};
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}
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options || (options = {});
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const rootUrl = options.rootUrl || 'https://www.googleapis.com/';
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const parameters = {
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options: Object.assign({
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url: (rootUrl + '/prediction/v1.2/training/{data}/predict').replace(/([^:]\/)\/+/g, '$1'),
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method: 'POST'
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}, options),
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params: params,
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requiredParams: ['data'],
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pathParams: ['data'],
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context: self
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};
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return apirequest_1.default(parameters, callback);
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};
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self.hostedmodels = {
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/**
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* prediction.hostedmodels.predict
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*
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* @desc Submit input and request an output against a hosted model
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*
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* @alias prediction.hostedmodels.predict
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* @memberOf! prediction(v1.2)
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*
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* @param {object} params Parameters for request
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* @param {string} params.hostedModelName The name of a hosted model
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* @param {prediction(v1.2).Input} params.resource Request body data
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* @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
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* @param {callback} callback The callback that handles the response.
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* @return {object} Request object
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*/
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predict: function (params, options, callback) {
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if (typeof options === 'function') {
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callback = options;
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options = {};
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}
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options || (options = {});
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const rootUrl = options.rootUrl || 'https://www.googleapis.com/';
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const parameters = {
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options: Object.assign({
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url: (rootUrl + '/prediction/v1.2/hostedmodels/{hostedModelName}/predict').replace(/([^:]\/)\/+/g, '$1'),
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method: 'POST'
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}, options),
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params: params,
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requiredParams: ['hostedModelName'],
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pathParams: ['hostedModelName'],
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context: self
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};
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return apirequest_1.default(parameters, callback);
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}
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};
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self.training = {
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/**
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* prediction.training.delete
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*
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* @desc Delete a trained model
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*
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* @alias prediction.training.delete
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* @memberOf! prediction(v1.2)
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*
|
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* @param {object} params Parameters for request
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* @param {string} params.data mybucket/mydata resource in Google Storage
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* @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
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* @param {callback} callback The callback that handles the response.
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* @return {object} Request object
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*/
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delete: function (params, options, callback) {
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if (typeof options === 'function') {
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callback = options;
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options = {};
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}
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options || (options = {});
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const rootUrl = options.rootUrl || 'https://www.googleapis.com/';
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const parameters = {
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options: Object.assign({
|
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url: (rootUrl + '/prediction/v1.2/training/{data}').replace(/([^:]\/)\/+/g, '$1'),
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method: 'DELETE'
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}, options),
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params: params,
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requiredParams: ['data'],
|
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pathParams: ['data'],
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context: self
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};
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return apirequest_1.default(parameters, callback);
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},
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/**
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* prediction.training.get
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*
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* @desc Check training status of your model
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*
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* @alias prediction.training.get
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* @memberOf! prediction(v1.2)
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*
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* @param {object} params Parameters for request
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* @param {string} params.data mybucket/mydata resource in Google Storage
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* @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
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* @param {callback} callback The callback that handles the response.
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* @return {object} Request object
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*/
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get: function (params, options, callback) {
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if (typeof options === 'function') {
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callback = options;
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options = {};
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}
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options || (options = {});
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const rootUrl = options.rootUrl || 'https://www.googleapis.com/';
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const parameters = {
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options: Object.assign({
|
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url: (rootUrl + '/prediction/v1.2/training/{data}').replace(/([^:]\/)\/+/g, '$1'),
|
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method: 'GET'
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}, options),
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params: params,
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requiredParams: ['data'],
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pathParams: ['data'],
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context: self
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};
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return apirequest_1.default(parameters, callback);
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},
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/**
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* prediction.training.insert
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*
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* @desc Begin training your model
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*
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* @alias prediction.training.insert
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* @memberOf! prediction(v1.2)
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*
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* @param {object} params Parameters for request
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* @param {string=} params.data mybucket/mydata resource in Google Storage
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* @param {prediction(v1.2).Training} params.resource Request body data
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* @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
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* @param {callback} callback The callback that handles the response.
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* @return {object} Request object
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*/
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insert: function (params, options, callback) {
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if (typeof options === 'function') {
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callback = options;
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options = {};
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}
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options || (options = {});
|
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const rootUrl = options.rootUrl || 'https://www.googleapis.com/';
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const parameters = {
|
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options: Object.assign({
|
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url: (rootUrl + '/prediction/v1.2/training').replace(/([^:]\/)\/+/g, '$1'),
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method: 'POST'
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}, options),
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params: params,
|
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requiredParams: [],
|
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pathParams: [],
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context: self
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};
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return apirequest_1.default(parameters, callback);
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},
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/**
|
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* prediction.training.update
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*
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* @desc Add new data to a trained model
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*
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* @alias prediction.training.update
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||||
* @memberOf! prediction(v1.2)
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*
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* @param {object} params Parameters for request
|
||||
* @param {string} params.data mybucket/mydata resource in Google Storage
|
||||
* @param {prediction(v1.2).Update} params.resource Request body data
|
||||
* @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
|
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* @param {callback} callback The callback that handles the response.
|
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* @return {object} Request object
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*/
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update: function (params, options, callback) {
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if (typeof options === 'function') {
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callback = options;
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options = {};
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}
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options || (options = {});
|
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const rootUrl = options.rootUrl || 'https://www.googleapis.com/';
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const parameters = {
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options: Object.assign({
|
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url: (rootUrl + '/prediction/v1.2/training/{data}').replace(/([^:]\/)\/+/g, '$1'),
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method: 'PUT'
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}, options),
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params: params,
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requiredParams: ['data'],
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pathParams: ['data'],
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context: self
|
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};
|
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return apirequest_1.default(parameters, callback);
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}
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};
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}
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module.exports = Prediction;
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//# sourceMappingURL=v1.2.js.map
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1
backend/node_modules/googleapis/apis/prediction/v1.2.js.map
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backend/node_modules/googleapis/apis/prediction/v1.2.js.map
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|
||||
312
backend/node_modules/googleapis/apis/prediction/v1.2.ts
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312
backend/node_modules/googleapis/apis/prediction/v1.2.ts
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|
||||
/**
|
||||
* 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 */
|
||||
|
||||
import createAPIRequest from '../../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('v1.2');
|
||||
*
|
||||
* @namespace prediction
|
||||
* @type {Function}
|
||||
* @version v1.2
|
||||
* @variation v1.2
|
||||
* @param {object=} options Options for Prediction
|
||||
*/
|
||||
function Prediction(options) { // eslint-disable-line
|
||||
const self = this;
|
||||
self._options = options || {};
|
||||
|
||||
/**
|
||||
* prediction.predict
|
||||
*
|
||||
* @desc Submit data and request a prediction
|
||||
*
|
||||
* @alias prediction.predict
|
||||
* @memberOf! prediction(v1.2)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.data mybucket%2Fmydata resource in Google Storage
|
||||
* @param {prediction(v1.2).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
|
||||
*/
|
||||
this.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/v1.2/training/{data}/predict').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'POST'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['data'],
|
||||
pathParams: ['data'],
|
||||
context: self
|
||||
};
|
||||
|
||||
return createAPIRequest(parameters, callback);
|
||||
};
|
||||
|
||||
self.hostedmodels = {
|
||||
|
||||
/**
|
||||
* prediction.hostedmodels.predict
|
||||
*
|
||||
* @desc Submit input and request an output against a hosted model
|
||||
*
|
||||
* @alias prediction.hostedmodels.predict
|
||||
* @memberOf! prediction(v1.2)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.hostedModelName The name of a hosted model
|
||||
* @param {prediction(v1.2).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/v1.2/hostedmodels/{hostedModelName}/predict').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'POST'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['hostedModelName'],
|
||||
pathParams: ['hostedModelName'],
|
||||
context: self
|
||||
};
|
||||
|
||||
return createAPIRequest(parameters, callback);
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
self.training = {
|
||||
|
||||
/**
|
||||
* prediction.training.delete
|
||||
*
|
||||
* @desc Delete a trained model
|
||||
*
|
||||
* @alias prediction.training.delete
|
||||
* @memberOf! prediction(v1.2)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.data mybucket/mydata resource in Google Storage
|
||||
* @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/v1.2/training/{data}').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'DELETE'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['data'],
|
||||
pathParams: ['data'],
|
||||
context: self
|
||||
};
|
||||
|
||||
return createAPIRequest(parameters, callback);
|
||||
},
|
||||
|
||||
/**
|
||||
* prediction.training.get
|
||||
*
|
||||
* @desc Check training status of your model
|
||||
*
|
||||
* @alias prediction.training.get
|
||||
* @memberOf! prediction(v1.2)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.data mybucket/mydata resource in Google Storage
|
||||
* @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/v1.2/training/{data}').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'GET'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['data'],
|
||||
pathParams: ['data'],
|
||||
context: self
|
||||
};
|
||||
|
||||
return createAPIRequest(parameters, callback);
|
||||
},
|
||||
|
||||
/**
|
||||
* prediction.training.insert
|
||||
*
|
||||
* @desc Begin training your model
|
||||
*
|
||||
* @alias prediction.training.insert
|
||||
* @memberOf! prediction(v1.2)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string=} params.data mybucket/mydata resource in Google Storage
|
||||
* @param {prediction(v1.2).Training} 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/v1.2/training').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'POST'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: [],
|
||||
pathParams: [],
|
||||
context: self
|
||||
};
|
||||
|
||||
return createAPIRequest(parameters, callback);
|
||||
},
|
||||
|
||||
/**
|
||||
* prediction.training.update
|
||||
*
|
||||
* @desc Add new data to a trained model
|
||||
*
|
||||
* @alias prediction.training.update
|
||||
* @memberOf! prediction(v1.2)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.data mybucket/mydata resource in Google Storage
|
||||
* @param {prediction(v1.2).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/v1.2/training/{data}').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'PUT'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['data'],
|
||||
pathParams: ['data'],
|
||||
context: self
|
||||
};
|
||||
|
||||
return createAPIRequest(parameters, callback);
|
||||
}
|
||||
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* @typedef Input
|
||||
* @memberOf! prediction(v1.2)
|
||||
* @type object
|
||||
* @property {object} input
|
||||
*/
|
||||
|
||||
/**
|
||||
* @typedef Output
|
||||
* @memberOf! prediction(v1.2)
|
||||
* @type object
|
||||
* @property {string} id
|
||||
* @property {string} kind
|
||||
* @property {string} outputLabel
|
||||
* @property {object[]} outputMulti
|
||||
* @property {number} outputValue
|
||||
* @property {string} selfLink
|
||||
*/
|
||||
|
||||
/**
|
||||
* @typedef Training
|
||||
* @memberOf! prediction(v1.2)
|
||||
* @type object
|
||||
* @property {string} id
|
||||
* @property {string} kind
|
||||
* @property {object} modelInfo
|
||||
* @property {string} selfLink
|
||||
* @property {string} trainingStatus
|
||||
*/
|
||||
|
||||
/**
|
||||
* @typedef Update
|
||||
* @memberOf! prediction(v1.2)
|
||||
* @type object
|
||||
* @property {string} classLabel The true class label of this instance
|
||||
* @property {any[]} csvInstance The input features for this instance
|
||||
*/
|
||||
export = Prediction;
|
||||
244
backend/node_modules/googleapis/apis/prediction/v1.3.js
generated
vendored
Normal file
244
backend/node_modules/googleapis/apis/prediction/v1.3.js
generated
vendored
Normal file
@@ -0,0 +1,244 @@
|
||||
"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('v1.3');
|
||||
*
|
||||
* @namespace prediction
|
||||
* @type {Function}
|
||||
* @version v1.3
|
||||
* @variation v1.3
|
||||
* @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
|
||||
*
|
||||
* @alias prediction.hostedmodels.predict
|
||||
* @memberOf! prediction(v1.3)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.hostedModelName The name of a hosted model
|
||||
* @param {prediction(v1.3).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/v1.3/hostedmodels/{hostedModelName}/predict').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'POST'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['hostedModelName'],
|
||||
pathParams: ['hostedModelName'],
|
||||
context: self
|
||||
};
|
||||
return apirequest_1.default(parameters, callback);
|
||||
}
|
||||
};
|
||||
self.training = {
|
||||
/**
|
||||
* prediction.training.delete
|
||||
*
|
||||
* @desc Delete a trained model
|
||||
*
|
||||
* @alias prediction.training.delete
|
||||
* @memberOf! prediction(v1.3)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.data mybucket/mydata resource in Google Storage
|
||||
* @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/v1.3/training/{data}').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'DELETE'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['data'],
|
||||
pathParams: ['data'],
|
||||
context: self
|
||||
};
|
||||
return apirequest_1.default(parameters, callback);
|
||||
},
|
||||
/**
|
||||
* prediction.training.get
|
||||
*
|
||||
* @desc Check training status of your model
|
||||
*
|
||||
* @alias prediction.training.get
|
||||
* @memberOf! prediction(v1.3)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.data mybucket/mydata resource in Google Storage
|
||||
* @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/v1.3/training/{data}').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'GET'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['data'],
|
||||
pathParams: ['data'],
|
||||
context: self
|
||||
};
|
||||
return apirequest_1.default(parameters, callback);
|
||||
},
|
||||
/**
|
||||
* prediction.training.insert
|
||||
*
|
||||
* @desc Begin training your model
|
||||
*
|
||||
* @alias prediction.training.insert
|
||||
* @memberOf! prediction(v1.3)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {prediction(v1.3).Training} 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/v1.3/training').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'POST'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: [],
|
||||
pathParams: [],
|
||||
context: self
|
||||
};
|
||||
return apirequest_1.default(parameters, callback);
|
||||
},
|
||||
/**
|
||||
* prediction.training.predict
|
||||
*
|
||||
* @desc Submit data and request a prediction
|
||||
*
|
||||
* @alias prediction.training.predict
|
||||
* @memberOf! prediction(v1.3)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.data mybucket/mydata resource in Google Storage
|
||||
* @param {prediction(v1.3).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/v1.3/training/{data}/predict').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'POST'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['data'],
|
||||
pathParams: ['data'],
|
||||
context: self
|
||||
};
|
||||
return apirequest_1.default(parameters, callback);
|
||||
},
|
||||
/**
|
||||
* prediction.training.update
|
||||
*
|
||||
* @desc Add new data to a trained model
|
||||
*
|
||||
* @alias prediction.training.update
|
||||
* @memberOf! prediction(v1.3)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.data mybucket/mydata resource in Google Storage
|
||||
* @param {prediction(v1.3).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/v1.3/training/{data}').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'PUT'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['data'],
|
||||
pathParams: ['data'],
|
||||
context: self
|
||||
};
|
||||
return apirequest_1.default(parameters, callback);
|
||||
}
|
||||
};
|
||||
}
|
||||
module.exports = Prediction;
|
||||
//# sourceMappingURL=v1.3.js.map
|
||||
1
backend/node_modules/googleapis/apis/prediction/v1.3.js.map
generated
vendored
Normal file
1
backend/node_modules/googleapis/apis/prediction/v1.3.js.map
generated
vendored
Normal file
@@ -0,0 +1 @@
|
||||
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|
||||
312
backend/node_modules/googleapis/apis/prediction/v1.3.ts
generated
vendored
Normal file
312
backend/node_modules/googleapis/apis/prediction/v1.3.ts
generated
vendored
Normal file
@@ -0,0 +1,312 @@
|
||||
/**
|
||||
* 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 */
|
||||
|
||||
import createAPIRequest from '../../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('v1.3');
|
||||
*
|
||||
* @namespace prediction
|
||||
* @type {Function}
|
||||
* @version v1.3
|
||||
* @variation v1.3
|
||||
* @param {object=} options Options for Prediction
|
||||
*/
|
||||
function Prediction(options) { // eslint-disable-line
|
||||
const self = this;
|
||||
self._options = options || {};
|
||||
|
||||
self.hostedmodels = {
|
||||
|
||||
/**
|
||||
* prediction.hostedmodels.predict
|
||||
*
|
||||
* @desc Submit input and request an output against a hosted model
|
||||
*
|
||||
* @alias prediction.hostedmodels.predict
|
||||
* @memberOf! prediction(v1.3)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.hostedModelName The name of a hosted model
|
||||
* @param {prediction(v1.3).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/v1.3/hostedmodels/{hostedModelName}/predict').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'POST'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['hostedModelName'],
|
||||
pathParams: ['hostedModelName'],
|
||||
context: self
|
||||
};
|
||||
|
||||
return createAPIRequest(parameters, callback);
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
self.training = {
|
||||
|
||||
/**
|
||||
* prediction.training.delete
|
||||
*
|
||||
* @desc Delete a trained model
|
||||
*
|
||||
* @alias prediction.training.delete
|
||||
* @memberOf! prediction(v1.3)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.data mybucket/mydata resource in Google Storage
|
||||
* @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/v1.3/training/{data}').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'DELETE'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['data'],
|
||||
pathParams: ['data'],
|
||||
context: self
|
||||
};
|
||||
|
||||
return createAPIRequest(parameters, callback);
|
||||
},
|
||||
|
||||
/**
|
||||
* prediction.training.get
|
||||
*
|
||||
* @desc Check training status of your model
|
||||
*
|
||||
* @alias prediction.training.get
|
||||
* @memberOf! prediction(v1.3)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.data mybucket/mydata resource in Google Storage
|
||||
* @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/v1.3/training/{data}').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'GET'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['data'],
|
||||
pathParams: ['data'],
|
||||
context: self
|
||||
};
|
||||
|
||||
return createAPIRequest(parameters, callback);
|
||||
},
|
||||
|
||||
/**
|
||||
* prediction.training.insert
|
||||
*
|
||||
* @desc Begin training your model
|
||||
*
|
||||
* @alias prediction.training.insert
|
||||
* @memberOf! prediction(v1.3)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {prediction(v1.3).Training} 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/v1.3/training').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'POST'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: [],
|
||||
pathParams: [],
|
||||
context: self
|
||||
};
|
||||
|
||||
return createAPIRequest(parameters, callback);
|
||||
},
|
||||
|
||||
/**
|
||||
* prediction.training.predict
|
||||
*
|
||||
* @desc Submit data and request a prediction
|
||||
*
|
||||
* @alias prediction.training.predict
|
||||
* @memberOf! prediction(v1.3)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.data mybucket/mydata resource in Google Storage
|
||||
* @param {prediction(v1.3).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/v1.3/training/{data}/predict').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'POST'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['data'],
|
||||
pathParams: ['data'],
|
||||
context: self
|
||||
};
|
||||
|
||||
return createAPIRequest(parameters, callback);
|
||||
},
|
||||
|
||||
/**
|
||||
* prediction.training.update
|
||||
*
|
||||
* @desc Add new data to a trained model
|
||||
*
|
||||
* @alias prediction.training.update
|
||||
* @memberOf! prediction(v1.3)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.data mybucket/mydata resource in Google Storage
|
||||
* @param {prediction(v1.3).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/v1.3/training/{data}').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'PUT'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['data'],
|
||||
pathParams: ['data'],
|
||||
context: self
|
||||
};
|
||||
|
||||
return createAPIRequest(parameters, callback);
|
||||
}
|
||||
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* @typedef Input
|
||||
* @memberOf! prediction(v1.3)
|
||||
* @type object
|
||||
* @property {object} input Input to the model for a prediction
|
||||
*/
|
||||
|
||||
/**
|
||||
* @typedef Output
|
||||
* @memberOf! prediction(v1.3)
|
||||
* @type object
|
||||
* @property {string} id The unique name for the predictive model.
|
||||
* @property {string} kind What kind of resource this is.
|
||||
* @property {string} outputLabel The most likely class [Categorical models only].
|
||||
* @property {object[]} outputMulti A list of classes with their estimated probabilities [Categorical models only].
|
||||
* @property {number} outputValue The estimated regression value [Regression models only].
|
||||
* @property {string} selfLink A URL to re-request this resource.
|
||||
*/
|
||||
|
||||
/**
|
||||
* @typedef Training
|
||||
* @memberOf! prediction(v1.3)
|
||||
* @type object
|
||||
* @property {string} id The unique name for the predictive model.
|
||||
* @property {string} kind What kind of resource this is.
|
||||
* @property {object} modelInfo Model metadata.
|
||||
* @property {string} selfLink A URL to re-request this resource.
|
||||
* @property {string} trainingStatus The current status of the training job. This can be one of following: RUNNING; DONE; ERROR; ERROR: TRAINING JOB NOT FOUND
|
||||
* @property {object[]} utility A class weighting function, which allows the importance weights for classes to be specified [Categorical models only].
|
||||
*/
|
||||
|
||||
/**
|
||||
* @typedef Update
|
||||
* @memberOf! prediction(v1.3)
|
||||
* @type object
|
||||
* @property {string} classLabel The true class label of this instance
|
||||
* @property {any[]} csvInstance The input features for this instance
|
||||
*/
|
||||
export = Prediction;
|
||||
244
backend/node_modules/googleapis/apis/prediction/v1.4.js
generated
vendored
Normal file
244
backend/node_modules/googleapis/apis/prediction/v1.4.js
generated
vendored
Normal file
@@ -0,0 +1,244 @@
|
||||
"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('v1.4');
|
||||
*
|
||||
* @namespace prediction
|
||||
* @type {Function}
|
||||
* @version v1.4
|
||||
* @variation v1.4
|
||||
* @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.
|
||||
*
|
||||
* @alias prediction.hostedmodels.predict
|
||||
* @memberOf! prediction(v1.4)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.hostedModelName The name of a hosted model.
|
||||
* @param {prediction(v1.4).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/v1.4/hostedmodels/{hostedModelName}/predict').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'POST'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['hostedModelName'],
|
||||
pathParams: ['hostedModelName'],
|
||||
context: self
|
||||
};
|
||||
return apirequest_1.default(parameters, callback);
|
||||
}
|
||||
};
|
||||
self.trainedmodels = {
|
||||
/**
|
||||
* prediction.trainedmodels.delete
|
||||
*
|
||||
* @desc Delete a trained model.
|
||||
*
|
||||
* @alias prediction.trainedmodels.delete
|
||||
* @memberOf! prediction(v1.4)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.id The unique name for the predictive 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/v1.4/trainedmodels/{id}').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'DELETE'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['id'],
|
||||
pathParams: ['id'],
|
||||
context: self
|
||||
};
|
||||
return apirequest_1.default(parameters, callback);
|
||||
},
|
||||
/**
|
||||
* prediction.trainedmodels.get
|
||||
*
|
||||
* @desc Check training status of your model.
|
||||
*
|
||||
* @alias prediction.trainedmodels.get
|
||||
* @memberOf! prediction(v1.4)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.id The unique name for the predictive 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/v1.4/trainedmodels/{id}').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'GET'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['id'],
|
||||
pathParams: ['id'],
|
||||
context: self
|
||||
};
|
||||
return apirequest_1.default(parameters, callback);
|
||||
},
|
||||
/**
|
||||
* prediction.trainedmodels.insert
|
||||
*
|
||||
* @desc Begin training your model.
|
||||
*
|
||||
* @alias prediction.trainedmodels.insert
|
||||
* @memberOf! prediction(v1.4)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {prediction(v1.4).Training} 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/v1.4/trainedmodels').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'POST'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: [],
|
||||
pathParams: [],
|
||||
context: self
|
||||
};
|
||||
return apirequest_1.default(parameters, callback);
|
||||
},
|
||||
/**
|
||||
* prediction.trainedmodels.predict
|
||||
*
|
||||
* @desc Submit model id and request a prediction
|
||||
*
|
||||
* @alias prediction.trainedmodels.predict
|
||||
* @memberOf! prediction(v1.4)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.id The unique name for the predictive model.
|
||||
* @param {prediction(v1.4).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/v1.4/trainedmodels/{id}/predict').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'POST'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['id'],
|
||||
pathParams: ['id'],
|
||||
context: self
|
||||
};
|
||||
return apirequest_1.default(parameters, callback);
|
||||
},
|
||||
/**
|
||||
* prediction.trainedmodels.update
|
||||
*
|
||||
* @desc Add new data to a trained model.
|
||||
*
|
||||
* @alias prediction.trainedmodels.update
|
||||
* @memberOf! prediction(v1.4)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.id The unique name for the predictive model.
|
||||
* @param {prediction(v1.4).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/v1.4/trainedmodels/{id}').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'PUT'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['id'],
|
||||
pathParams: ['id'],
|
||||
context: self
|
||||
};
|
||||
return apirequest_1.default(parameters, callback);
|
||||
}
|
||||
};
|
||||
}
|
||||
module.exports = Prediction;
|
||||
//# sourceMappingURL=v1.4.js.map
|
||||
1
backend/node_modules/googleapis/apis/prediction/v1.4.js.map
generated
vendored
Normal file
1
backend/node_modules/googleapis/apis/prediction/v1.4.js.map
generated
vendored
Normal file
@@ -0,0 +1 @@
|
||||
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|
||||
317
backend/node_modules/googleapis/apis/prediction/v1.4.ts
generated
vendored
Normal file
317
backend/node_modules/googleapis/apis/prediction/v1.4.ts
generated
vendored
Normal file
@@ -0,0 +1,317 @@
|
||||
/**
|
||||
* 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 */
|
||||
|
||||
import createAPIRequest from '../../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('v1.4');
|
||||
*
|
||||
* @namespace prediction
|
||||
* @type {Function}
|
||||
* @version v1.4
|
||||
* @variation v1.4
|
||||
* @param {object=} options Options for Prediction
|
||||
*/
|
||||
function Prediction(options) { // eslint-disable-line
|
||||
const self = this;
|
||||
self._options = options || {};
|
||||
|
||||
self.hostedmodels = {
|
||||
|
||||
/**
|
||||
* prediction.hostedmodels.predict
|
||||
*
|
||||
* @desc Submit input and request an output against a hosted model.
|
||||
*
|
||||
* @alias prediction.hostedmodels.predict
|
||||
* @memberOf! prediction(v1.4)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.hostedModelName The name of a hosted model.
|
||||
* @param {prediction(v1.4).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/v1.4/hostedmodels/{hostedModelName}/predict').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'POST'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['hostedModelName'],
|
||||
pathParams: ['hostedModelName'],
|
||||
context: self
|
||||
};
|
||||
|
||||
return createAPIRequest(parameters, callback);
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
self.trainedmodels = {
|
||||
|
||||
/**
|
||||
* prediction.trainedmodels.delete
|
||||
*
|
||||
* @desc Delete a trained model.
|
||||
*
|
||||
* @alias prediction.trainedmodels.delete
|
||||
* @memberOf! prediction(v1.4)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.id The unique name for the predictive 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/v1.4/trainedmodels/{id}').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'DELETE'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['id'],
|
||||
pathParams: ['id'],
|
||||
context: self
|
||||
};
|
||||
|
||||
return createAPIRequest(parameters, callback);
|
||||
},
|
||||
|
||||
/**
|
||||
* prediction.trainedmodels.get
|
||||
*
|
||||
* @desc Check training status of your model.
|
||||
*
|
||||
* @alias prediction.trainedmodels.get
|
||||
* @memberOf! prediction(v1.4)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.id The unique name for the predictive 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/v1.4/trainedmodels/{id}').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'GET'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['id'],
|
||||
pathParams: ['id'],
|
||||
context: self
|
||||
};
|
||||
|
||||
return createAPIRequest(parameters, callback);
|
||||
},
|
||||
|
||||
/**
|
||||
* prediction.trainedmodels.insert
|
||||
*
|
||||
* @desc Begin training your model.
|
||||
*
|
||||
* @alias prediction.trainedmodels.insert
|
||||
* @memberOf! prediction(v1.4)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {prediction(v1.4).Training} 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/v1.4/trainedmodels').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'POST'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: [],
|
||||
pathParams: [],
|
||||
context: self
|
||||
};
|
||||
|
||||
return createAPIRequest(parameters, callback);
|
||||
},
|
||||
|
||||
/**
|
||||
* prediction.trainedmodels.predict
|
||||
*
|
||||
* @desc Submit model id and request a prediction
|
||||
*
|
||||
* @alias prediction.trainedmodels.predict
|
||||
* @memberOf! prediction(v1.4)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.id The unique name for the predictive model.
|
||||
* @param {prediction(v1.4).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/v1.4/trainedmodels/{id}/predict').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'POST'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['id'],
|
||||
pathParams: ['id'],
|
||||
context: self
|
||||
};
|
||||
|
||||
return createAPIRequest(parameters, callback);
|
||||
},
|
||||
|
||||
/**
|
||||
* prediction.trainedmodels.update
|
||||
*
|
||||
* @desc Add new data to a trained model.
|
||||
*
|
||||
* @alias prediction.trainedmodels.update
|
||||
* @memberOf! prediction(v1.4)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.id The unique name for the predictive model.
|
||||
* @param {prediction(v1.4).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/v1.4/trainedmodels/{id}').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'PUT'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['id'],
|
||||
pathParams: ['id'],
|
||||
context: self
|
||||
};
|
||||
|
||||
return createAPIRequest(parameters, callback);
|
||||
}
|
||||
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* @typedef Input
|
||||
* @memberOf! prediction(v1.4)
|
||||
* @type object
|
||||
* @property {object} input Input to the model for a prediction
|
||||
*/
|
||||
|
||||
/**
|
||||
* @typedef Output
|
||||
* @memberOf! prediction(v1.4)
|
||||
* @type object
|
||||
* @property {string} id The unique name for the predictive model.
|
||||
* @property {string} kind What kind of resource this is.
|
||||
* @property {string} outputLabel The most likely class label [Categorical models only].
|
||||
* @property {object[]} outputMulti A list of class labels with their estimated probabilities [Categorical models only].
|
||||
* @property {number} outputValue The estimated regression value [Regression models only].
|
||||
* @property {string} selfLink A URL to re-request this resource.
|
||||
*/
|
||||
|
||||
/**
|
||||
* @typedef Training
|
||||
* @memberOf! prediction(v1.4)
|
||||
* @type object
|
||||
* @property {object} dataAnalysis Data Analysis.
|
||||
* @property {string} id The unique name for the predictive model.
|
||||
* @property {string} kind What kind of resource this is.
|
||||
* @property {object} modelInfo Model metadata.
|
||||
* @property {string} selfLink A URL to re-request this resource.
|
||||
* @property {string} storageDataLocation Google storage location of the training data file.
|
||||
* @property {string} storagePMMLLocation Google storage location of the preprocessing pmml file.
|
||||
* @property {string} storagePMMLModelLocation Google storage location of the pmml model file.
|
||||
* @property {string} trainingStatus The current status of the training job. This can be one of following: RUNNING; DONE; ERROR; ERROR: TRAINING JOB NOT FOUND
|
||||
* @property {object[]} utility A class weighting function, which allows the importance weights for class labels to be specified [Categorical models only].
|
||||
*/
|
||||
|
||||
/**
|
||||
* @typedef Update
|
||||
* @memberOf! prediction(v1.4)
|
||||
* @type object
|
||||
* @property {any[]} csvInstance The input features for this instance
|
||||
* @property {string} label The class label of this instance
|
||||
* @property {string} output The generic output value - could be regression value or class label
|
||||
*/
|
||||
export = Prediction;
|
||||
311
backend/node_modules/googleapis/apis/prediction/v1.5.js
generated
vendored
Normal file
311
backend/node_modules/googleapis/apis/prediction/v1.5.js
generated
vendored
Normal file
@@ -0,0 +1,311 @@
|
||||
"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('v1.5');
|
||||
*
|
||||
* @namespace prediction
|
||||
* @type {Function}
|
||||
* @version v1.5
|
||||
* @variation v1.5
|
||||
* @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.
|
||||
*
|
||||
* @alias prediction.hostedmodels.predict
|
||||
* @memberOf! prediction(v1.5)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.hostedModelName The name of a hosted model.
|
||||
* @param {prediction(v1.5).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/v1.5/hostedmodels/{hostedModelName}/predict').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'POST'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['hostedModelName'],
|
||||
pathParams: ['hostedModelName'],
|
||||
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.
|
||||
*
|
||||
* @alias prediction.trainedmodels.analyze
|
||||
* @memberOf! prediction(v1.5)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.id The unique name for the predictive 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/v1.5/trainedmodels/{id}/analyze').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'GET'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['id'],
|
||||
pathParams: ['id'],
|
||||
context: self
|
||||
};
|
||||
return apirequest_1.default(parameters, callback);
|
||||
},
|
||||
/**
|
||||
* prediction.trainedmodels.delete
|
||||
*
|
||||
* @desc Delete a trained model.
|
||||
*
|
||||
* @alias prediction.trainedmodels.delete
|
||||
* @memberOf! prediction(v1.5)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.id The unique name for the predictive 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/v1.5/trainedmodels/{id}').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'DELETE'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['id'],
|
||||
pathParams: ['id'],
|
||||
context: self
|
||||
};
|
||||
return apirequest_1.default(parameters, callback);
|
||||
},
|
||||
/**
|
||||
* prediction.trainedmodels.get
|
||||
*
|
||||
* @desc Check training status of your model.
|
||||
*
|
||||
* @alias prediction.trainedmodels.get
|
||||
* @memberOf! prediction(v1.5)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.id The unique name for the predictive 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/v1.5/trainedmodels/{id}').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'GET'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['id'],
|
||||
pathParams: ['id'],
|
||||
context: self
|
||||
};
|
||||
return apirequest_1.default(parameters, callback);
|
||||
},
|
||||
/**
|
||||
* prediction.trainedmodels.insert
|
||||
*
|
||||
* @desc Begin training your model.
|
||||
*
|
||||
* @alias prediction.trainedmodels.insert
|
||||
* @memberOf! prediction(v1.5)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {prediction(v1.5).Training} 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/v1.5/trainedmodels').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'POST'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: [],
|
||||
pathParams: [],
|
||||
context: self
|
||||
};
|
||||
return apirequest_1.default(parameters, callback);
|
||||
},
|
||||
/**
|
||||
* prediction.trainedmodels.list
|
||||
*
|
||||
* @desc List available models.
|
||||
*
|
||||
* @alias prediction.trainedmodels.list
|
||||
* @memberOf! prediction(v1.5)
|
||||
*
|
||||
* @param {object=} params Parameters for request
|
||||
* @param {integer=} params.maxResults Maximum number of results to return
|
||||
* @param {string=} params.pageToken Pagination token
|
||||
* @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/v1.5/trainedmodels/list').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'GET'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: [],
|
||||
pathParams: [],
|
||||
context: self
|
||||
};
|
||||
return apirequest_1.default(parameters, callback);
|
||||
},
|
||||
/**
|
||||
* prediction.trainedmodels.predict
|
||||
*
|
||||
* @desc Submit model id and request a prediction.
|
||||
*
|
||||
* @alias prediction.trainedmodels.predict
|
||||
* @memberOf! prediction(v1.5)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.id The unique name for the predictive model.
|
||||
* @param {prediction(v1.5).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/v1.5/trainedmodels/{id}/predict').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'POST'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['id'],
|
||||
pathParams: ['id'],
|
||||
context: self
|
||||
};
|
||||
return apirequest_1.default(parameters, callback);
|
||||
},
|
||||
/**
|
||||
* prediction.trainedmodels.update
|
||||
*
|
||||
* @desc Add new data to a trained model.
|
||||
*
|
||||
* @alias prediction.trainedmodels.update
|
||||
* @memberOf! prediction(v1.5)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.id The unique name for the predictive model.
|
||||
* @param {prediction(v1.5).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/v1.5/trainedmodels/{id}').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'PUT'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['id'],
|
||||
pathParams: ['id'],
|
||||
context: self
|
||||
};
|
||||
return apirequest_1.default(parameters, callback);
|
||||
}
|
||||
};
|
||||
}
|
||||
module.exports = Prediction;
|
||||
//# sourceMappingURL=v1.5.js.map
|
||||
1
backend/node_modules/googleapis/apis/prediction/v1.5.js.map
generated
vendored
Normal file
1
backend/node_modules/googleapis/apis/prediction/v1.5.js.map
generated
vendored
Normal file
File diff suppressed because one or more lines are too long
417
backend/node_modules/googleapis/apis/prediction/v1.5.ts
generated
vendored
Normal file
417
backend/node_modules/googleapis/apis/prediction/v1.5.ts
generated
vendored
Normal file
@@ -0,0 +1,417 @@
|
||||
/**
|
||||
* 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 */
|
||||
|
||||
import createAPIRequest from '../../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('v1.5');
|
||||
*
|
||||
* @namespace prediction
|
||||
* @type {Function}
|
||||
* @version v1.5
|
||||
* @variation v1.5
|
||||
* @param {object=} options Options for Prediction
|
||||
*/
|
||||
function Prediction(options) { // eslint-disable-line
|
||||
const self = this;
|
||||
self._options = options || {};
|
||||
|
||||
self.hostedmodels = {
|
||||
|
||||
/**
|
||||
* prediction.hostedmodels.predict
|
||||
*
|
||||
* @desc Submit input and request an output against a hosted model.
|
||||
*
|
||||
* @alias prediction.hostedmodels.predict
|
||||
* @memberOf! prediction(v1.5)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.hostedModelName The name of a hosted model.
|
||||
* @param {prediction(v1.5).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/v1.5/hostedmodels/{hostedModelName}/predict').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'POST'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['hostedModelName'],
|
||||
pathParams: ['hostedModelName'],
|
||||
context: self
|
||||
};
|
||||
|
||||
return createAPIRequest(parameters, callback);
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
self.trainedmodels = {
|
||||
|
||||
/**
|
||||
* prediction.trainedmodels.analyze
|
||||
*
|
||||
* @desc Get analysis of the model and the data the model was trained on.
|
||||
*
|
||||
* @alias prediction.trainedmodels.analyze
|
||||
* @memberOf! prediction(v1.5)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.id The unique name for the predictive 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/v1.5/trainedmodels/{id}/analyze').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'GET'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['id'],
|
||||
pathParams: ['id'],
|
||||
context: self
|
||||
};
|
||||
|
||||
return createAPIRequest(parameters, callback);
|
||||
},
|
||||
|
||||
/**
|
||||
* prediction.trainedmodels.delete
|
||||
*
|
||||
* @desc Delete a trained model.
|
||||
*
|
||||
* @alias prediction.trainedmodels.delete
|
||||
* @memberOf! prediction(v1.5)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.id The unique name for the predictive 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/v1.5/trainedmodels/{id}').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'DELETE'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['id'],
|
||||
pathParams: ['id'],
|
||||
context: self
|
||||
};
|
||||
|
||||
return createAPIRequest(parameters, callback);
|
||||
},
|
||||
|
||||
/**
|
||||
* prediction.trainedmodels.get
|
||||
*
|
||||
* @desc Check training status of your model.
|
||||
*
|
||||
* @alias prediction.trainedmodels.get
|
||||
* @memberOf! prediction(v1.5)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.id The unique name for the predictive 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/v1.5/trainedmodels/{id}').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'GET'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['id'],
|
||||
pathParams: ['id'],
|
||||
context: self
|
||||
};
|
||||
|
||||
return createAPIRequest(parameters, callback);
|
||||
},
|
||||
|
||||
/**
|
||||
* prediction.trainedmodels.insert
|
||||
*
|
||||
* @desc Begin training your model.
|
||||
*
|
||||
* @alias prediction.trainedmodels.insert
|
||||
* @memberOf! prediction(v1.5)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {prediction(v1.5).Training} 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/v1.5/trainedmodels').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'POST'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: [],
|
||||
pathParams: [],
|
||||
context: self
|
||||
};
|
||||
|
||||
return createAPIRequest(parameters, callback);
|
||||
},
|
||||
|
||||
/**
|
||||
* prediction.trainedmodels.list
|
||||
*
|
||||
* @desc List available models.
|
||||
*
|
||||
* @alias prediction.trainedmodels.list
|
||||
* @memberOf! prediction(v1.5)
|
||||
*
|
||||
* @param {object=} params Parameters for request
|
||||
* @param {integer=} params.maxResults Maximum number of results to return
|
||||
* @param {string=} params.pageToken Pagination token
|
||||
* @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/v1.5/trainedmodels/list').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'GET'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: [],
|
||||
pathParams: [],
|
||||
context: self
|
||||
};
|
||||
|
||||
return createAPIRequest(parameters, callback);
|
||||
},
|
||||
|
||||
/**
|
||||
* prediction.trainedmodels.predict
|
||||
*
|
||||
* @desc Submit model id and request a prediction.
|
||||
*
|
||||
* @alias prediction.trainedmodels.predict
|
||||
* @memberOf! prediction(v1.5)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.id The unique name for the predictive model.
|
||||
* @param {prediction(v1.5).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/v1.5/trainedmodels/{id}/predict').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'POST'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['id'],
|
||||
pathParams: ['id'],
|
||||
context: self
|
||||
};
|
||||
|
||||
return createAPIRequest(parameters, callback);
|
||||
},
|
||||
|
||||
/**
|
||||
* prediction.trainedmodels.update
|
||||
*
|
||||
* @desc Add new data to a trained model.
|
||||
*
|
||||
* @alias prediction.trainedmodels.update
|
||||
* @memberOf! prediction(v1.5)
|
||||
*
|
||||
* @param {object} params Parameters for request
|
||||
* @param {string} params.id The unique name for the predictive model.
|
||||
* @param {prediction(v1.5).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/v1.5/trainedmodels/{id}').replace(/([^:]\/)\/+/g, '$1'),
|
||||
method: 'PUT'
|
||||
}, options),
|
||||
params: params,
|
||||
requiredParams: ['id'],
|
||||
pathParams: ['id'],
|
||||
context: self
|
||||
};
|
||||
|
||||
return createAPIRequest(parameters, callback);
|
||||
}
|
||||
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* @typedef Analyze
|
||||
* @memberOf! prediction(v1.5)
|
||||
* @type object
|
||||
* @property {object} dataDescription Description of the data the model was trained on.
|
||||
* @property {object[]} errors List of errors with the data.
|
||||
* @property {string} id The unique name for the predictive model.
|
||||
* @property {string} kind What kind of resource this is.
|
||||
* @property {object} modelDescription Description of the model.
|
||||
* @property {string} selfLink A URL to re-request this resource.
|
||||
*/
|
||||
|
||||
/**
|
||||
* @typedef Input
|
||||
* @memberOf! prediction(v1.5)
|
||||
* @type object
|
||||
* @property {object} input Input to the model for a prediction
|
||||
*/
|
||||
|
||||
/**
|
||||
* @typedef List
|
||||
* @memberOf! prediction(v1.5)
|
||||
* @type object
|
||||
* @property {prediction(v1.5).Training[]} items List of models.
|
||||
* @property {string} kind What kind of resource this is.
|
||||
* @property {string} nextPageToken Pagination token to fetch the next page, if one exists.
|
||||
* @property {string} selfLink A URL to re-request this resource.
|
||||
*/
|
||||
|
||||
/**
|
||||
* @typedef Output
|
||||
* @memberOf! prediction(v1.5)
|
||||
* @type object
|
||||
* @property {string} id The unique name for the predictive model.
|
||||
* @property {string} kind What kind of resource this is.
|
||||
* @property {string} outputLabel The most likely class label [Categorical models only].
|
||||
* @property {object[]} outputMulti A list of class labels with their estimated probabilities [Categorical models only].
|
||||
* @property {number} outputValue The estimated regression value [Regression models only].
|
||||
* @property {string} selfLink A URL to re-request this resource.
|
||||
*/
|
||||
|
||||
/**
|
||||
* @typedef Training
|
||||
* @memberOf! prediction(v1.5)
|
||||
* @type object
|
||||
* @property {string} created Insert time of the model (as a RFC 3339 timestamp).
|
||||
* @property {string} id The unique name for the predictive model.
|
||||
* @property {string} kind What kind of resource this is.
|
||||
* @property {object} modelInfo Model metadata.
|
||||
* @property {string} modelType Type of predictive model (classification or regression)
|
||||
* @property {string} selfLink A URL to re-request this resource.
|
||||
* @property {string} storageDataLocation Google storage location of the training data file.
|
||||
* @property {string} storagePMMLLocation Google storage location of the preprocessing pmml file.
|
||||
* @property {string} storagePMMLModelLocation Google storage location of the pmml model file.
|
||||
* @property {string} trainingComplete Training completion time (as a RFC 3339 timestamp).
|
||||
* @property {object[]} trainingInstances Instances to train model on.
|
||||
* @property {string} trainingStatus The current status of the training job. This can be one of following: RUNNING; DONE; ERROR; ERROR: TRAINING JOB NOT FOUND
|
||||
* @property {object[]} utility A class weighting function, which allows the importance weights for class labels to be specified [Categorical models only].
|
||||
*/
|
||||
|
||||
/**
|
||||
* @typedef Update
|
||||
* @memberOf! prediction(v1.5)
|
||||
* @type object
|
||||
* @property {any[]} csvInstance The input features for this instance
|
||||
* @property {string} label The class label of this instance
|
||||
* @property {string} output The generic output value - could be regression value or class label
|
||||
*/
|
||||
export = Prediction;
|
||||
772
backend/node_modules/googleapis/apis/prediction/v1.6.js
generated
vendored
Normal file
772
backend/node_modules/googleapis/apis/prediction/v1.6.js
generated
vendored
Normal file
@@ -0,0 +1,772 @@
|
||||
"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
|
||||
1
backend/node_modules/googleapis/apis/prediction/v1.6.js.map
generated
vendored
Normal file
1
backend/node_modules/googleapis/apis/prediction/v1.6.js.map
generated
vendored
Normal file
File diff suppressed because one or more lines are too long
889
backend/node_modules/googleapis/apis/prediction/v1.6.ts
generated
vendored
Normal file
889
backend/node_modules/googleapis/apis/prediction/v1.6.ts
generated
vendored
Normal file
@@ -0,0 +1,889 @@
|
||||
/**
|
||||
* 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 */
|
||||
|
||||
import createAPIRequest from '../../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) { // eslint-disable-line
|
||||
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 createAPIRequest(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 createAPIRequest(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 createAPIRequest(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 createAPIRequest(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 createAPIRequest(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 createAPIRequest(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 createAPIRequest(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 createAPIRequest(parameters, callback);
|
||||
}
|
||||
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* @typedef Analyze
|
||||
* @memberOf! prediction(v1.6)
|
||||
* @type object
|
||||
* @property {object} dataDescription Description of the data the model was trained on.
|
||||
* @property {object[]} errors List of errors with the data.
|
||||
* @property {string} id The unique name for the predictive model.
|
||||
* @property {string} kind What kind of resource this is.
|
||||
* @property {object} modelDescription Description of the model.
|
||||
* @property {string} selfLink A URL to re-request this resource.
|
||||
*/
|
||||
|
||||
/**
|
||||
* @typedef Input
|
||||
* @memberOf! prediction(v1.6)
|
||||
* @type object
|
||||
* @property {object} input Input to the model for a prediction.
|
||||
*/
|
||||
|
||||
/**
|
||||
* @typedef Insert
|
||||
* @memberOf! prediction(v1.6)
|
||||
* @type object
|
||||
* @property {string} id The unique name for the predictive model.
|
||||
* @property {string} modelType Type of predictive model (classification or regression).
|
||||
* @property {string} sourceModel The Id of the model to be copied over.
|
||||
* @property {string} storageDataLocation Google storage location of the training data file.
|
||||
* @property {string} storagePMMLLocation Google storage location of the preprocessing pmml file.
|
||||
* @property {string} storagePMMLModelLocation Google storage location of the pmml model file.
|
||||
* @property {object[]} trainingInstances Instances to train model on.
|
||||
* @property {object[]} utility A class weighting function, which allows the importance weights for class labels to be specified (Categorical models only).
|
||||
*/
|
||||
|
||||
/**
|
||||
* @typedef Insert2
|
||||
* @memberOf! prediction(v1.6)
|
||||
* @type object
|
||||
* @property {string} created Insert time of the model (as a RFC 3339 timestamp).
|
||||
* @property {string} id The unique name for the predictive model.
|
||||
* @property {string} kind What kind of resource this is.
|
||||
* @property {object} modelInfo Model metadata.
|
||||
* @property {string} modelType Type of predictive model (CLASSIFICATION or REGRESSION).
|
||||
* @property {string} selfLink A URL to re-request this resource.
|
||||
* @property {string} storageDataLocation Google storage location of the training data file.
|
||||
* @property {string} storagePMMLLocation Google storage location of the preprocessing pmml file.
|
||||
* @property {string} storagePMMLModelLocation Google storage location of the pmml model file.
|
||||
* @property {string} trainingComplete Training completion time (as a RFC 3339 timestamp).
|
||||
* @property {string} trainingStatus The current status of the training job. This can be one of following: RUNNING; DONE; ERROR; ERROR: TRAINING JOB NOT FOUND
|
||||
*/
|
||||
|
||||
/**
|
||||
* @typedef List
|
||||
* @memberOf! prediction(v1.6)
|
||||
* @type object
|
||||
* @property {prediction(v1.6).Insert2[]} items List of models.
|
||||
* @property {string} kind What kind of resource this is.
|
||||
* @property {string} nextPageToken Pagination token to fetch the next page, if one exists.
|
||||
* @property {string} selfLink A URL to re-request this resource.
|
||||
*/
|
||||
|
||||
/**
|
||||
* @typedef Output
|
||||
* @memberOf! prediction(v1.6)
|
||||
* @type object
|
||||
* @property {string} id The unique name for the predictive model.
|
||||
* @property {string} kind What kind of resource this is.
|
||||
* @property {string} outputLabel The most likely class label (Categorical models only).
|
||||
* @property {object[]} outputMulti A list of class labels with their estimated probabilities (Categorical models only).
|
||||
* @property {string} outputValue The estimated regression value (Regression models only).
|
||||
* @property {string} selfLink A URL to re-request this resource.
|
||||
*/
|
||||
|
||||
/**
|
||||
* @typedef Update
|
||||
* @memberOf! prediction(v1.6)
|
||||
* @type object
|
||||
* @property {any[]} csvInstance The input features for this instance.
|
||||
* @property {string} output The generic output value - could be regression or class label.
|
||||
*/
|
||||
export = Prediction;
|
||||
Reference in New Issue
Block a user