772 lines
32 KiB
JavaScript
772 lines
32 KiB
JavaScript
"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('v1.6');
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*
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* @namespace prediction
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* @type {Function}
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* @version v1.6
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* @variation v1.6
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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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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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* @example
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* // BEFORE RUNNING:
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* // ---------------
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* // 1. If not already done, enable the Prediction API
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* // and check the quota for your project at
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* // https://console.developers.google.com/apis/api/prediction
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* // 2. This sample uses Application Default Credentials for authentication.
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* // If not already done, install the gcloud CLI from
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* // https://cloud.google.com/sdk and run
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* // `gcloud beta auth application-default login`.
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* // For more information, see
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* // https://developers.google.com/identity/protocols/application-default-credentials
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* // 3. Install the Node.js client library by running
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* // `npm install googleapis --save`
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*
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* var google = require('googleapis');
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* var prediction = google.prediction('v1.6');
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*
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* authorize(function(authClient) {
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* var request = {
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* // The project associated with the model.
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* project: 'my-project', // TODO: Update placeholder value.
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*
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* // The name of a hosted model.
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* hostedModelName: 'my-hosted-model-name', // TODO: Update placeholder value.
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*
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* resource: {
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* // TODO: Add desired properties to the request body.
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* },
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*
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* auth: authClient,
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* };
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*
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* prediction.hostedmodels.predict(request, function(err, response) {
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* if (err) {
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* console.error(err);
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* return;
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* }
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*
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* // TODO: Change code below to process the `response` object:
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* console.log(JSON.stringify(response, null, 2));
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* });
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* });
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*
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* function authorize(callback) {
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* google.auth.getApplicationDefault(function(err, authClient) {
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* if (err) {
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* console.error('authentication failed: ', err);
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* return;
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* }
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* if (authClient.createScopedRequired && authClient.createScopedRequired()) {
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* var scopes = ['https://www.googleapis.com/auth/cloud-platform'];
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* authClient = authClient.createScoped(scopes);
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* }
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* callback(authClient);
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* });
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* }
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*
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* @alias prediction.hostedmodels.predict
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* @memberOf! prediction(v1.6)
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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 {string} params.project The project associated with the model.
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* @param {prediction(v1.6).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/v1.6/projects/{project}/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: ['project', 'hostedModelName'],
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pathParams: ['hostedModelName', 'project'],
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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.trainedmodels = {
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/**
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* prediction.trainedmodels.analyze
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*
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* @desc Get analysis of the model and the data the model was trained on.
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*
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* @example
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* // BEFORE RUNNING:
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* // ---------------
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* // 1. If not already done, enable the Prediction API
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* // and check the quota for your project at
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* // https://console.developers.google.com/apis/api/prediction
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* // 2. This sample uses Application Default Credentials for authentication.
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* // If not already done, install the gcloud CLI from
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* // https://cloud.google.com/sdk and run
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* // `gcloud beta auth application-default login`.
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* // For more information, see
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* // https://developers.google.com/identity/protocols/application-default-credentials
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* // 3. Install the Node.js client library by running
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* // `npm install googleapis --save`
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*
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* var google = require('googleapis');
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* var prediction = google.prediction('v1.6');
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*
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* authorize(function(authClient) {
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* var request = {
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* // The project associated with the model.
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* project: 'my-project', // TODO: Update placeholder value.
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*
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* // The unique name for the predictive model.
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* id: 'my-id', // TODO: Update placeholder value.
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*
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* auth: authClient,
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* };
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*
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* prediction.trainedmodels.analyze(request, function(err, response) {
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* if (err) {
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* console.error(err);
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* return;
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* }
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*
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* // TODO: Change code below to process the `response` object:
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* console.log(JSON.stringify(response, null, 2));
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* });
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* });
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*
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* function authorize(callback) {
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* google.auth.getApplicationDefault(function(err, authClient) {
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* if (err) {
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* console.error('authentication failed: ', err);
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* return;
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* }
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* if (authClient.createScopedRequired && authClient.createScopedRequired()) {
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* var scopes = ['https://www.googleapis.com/auth/cloud-platform'];
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* authClient = authClient.createScoped(scopes);
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* }
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* callback(authClient);
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* });
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* }
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*
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* @alias prediction.trainedmodels.analyze
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* @memberOf! prediction(v1.6)
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*
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* @param {object} params Parameters for request
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* @param {string} params.id The unique name for the predictive model.
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* @param {string} params.project The project associated with the model.
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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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analyze: 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/v1.6/projects/{project}/trainedmodels/{id}/analyze').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: ['project', 'id'],
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pathParams: ['id', 'project'],
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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.trainedmodels.delete
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*
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* @desc Delete a trained model.
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*
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* @example
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* // BEFORE RUNNING:
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* // ---------------
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* // 1. If not already done, enable the Prediction API
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* // and check the quota for your project at
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* // https://console.developers.google.com/apis/api/prediction
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* // 2. This sample uses Application Default Credentials for authentication.
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* // If not already done, install the gcloud CLI from
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* // https://cloud.google.com/sdk and run
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* // `gcloud beta auth application-default login`.
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* // For more information, see
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* // https://developers.google.com/identity/protocols/application-default-credentials
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* // 3. Install the Node.js client library by running
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* // `npm install googleapis --save`
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*
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* var google = require('googleapis');
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* var prediction = google.prediction('v1.6');
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*
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* authorize(function(authClient) {
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* var request = {
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* // The project associated with the model.
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* project: 'my-project', // TODO: Update placeholder value.
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*
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* // The unique name for the predictive model.
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* id: 'my-id', // TODO: Update placeholder value.
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*
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* auth: authClient,
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* };
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*
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* prediction.trainedmodels.delete(request, function(err) {
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* if (err) {
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* console.error(err);
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* return;
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* }
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* });
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* });
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*
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* function authorize(callback) {
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* google.auth.getApplicationDefault(function(err, authClient) {
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* if (err) {
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* console.error('authentication failed: ', err);
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* return;
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* }
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* if (authClient.createScopedRequired && authClient.createScopedRequired()) {
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* var scopes = ['https://www.googleapis.com/auth/cloud-platform'];
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* authClient = authClient.createScoped(scopes);
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* }
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* callback(authClient);
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* });
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* }
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*
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* @alias prediction.trainedmodels.delete
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* @memberOf! prediction(v1.6)
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*
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* @param {object} params Parameters for request
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* @param {string} params.id The unique name for the predictive model.
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* @param {string} params.project The project associated with the model.
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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/v1.6/projects/{project}/trainedmodels/{id}').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: ['project', 'id'],
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pathParams: ['id', 'project'],
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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.trainedmodels.get
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*
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* @desc Check training status of your model.
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*
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* @example
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* // BEFORE RUNNING:
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* // ---------------
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* // 1. If not already done, enable the Prediction API
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* // and check the quota for your project at
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* // https://console.developers.google.com/apis/api/prediction
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* // 2. This sample uses Application Default Credentials for authentication.
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* // If not already done, install the gcloud CLI from
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* // https://cloud.google.com/sdk and run
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* // `gcloud beta auth application-default login`.
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* // For more information, see
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* // https://developers.google.com/identity/protocols/application-default-credentials
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* // 3. Install the Node.js client library by running
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* // `npm install googleapis --save`
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*
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* var google = require('googleapis');
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* var prediction = google.prediction('v1.6');
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*
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* authorize(function(authClient) {
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* var request = {
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* // The project associated with the model.
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* project: 'my-project', // TODO: Update placeholder value.
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*
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* // The unique name for the predictive model.
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* id: 'my-id', // TODO: Update placeholder value.
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*
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* auth: authClient,
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* };
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*
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* prediction.trainedmodels.get(request, function(err, response) {
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* if (err) {
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* console.error(err);
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* return;
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* }
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*
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* // TODO: Change code below to process the `response` object:
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* console.log(JSON.stringify(response, null, 2));
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* });
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* });
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*
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* function authorize(callback) {
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* google.auth.getApplicationDefault(function(err, authClient) {
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* if (err) {
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* console.error('authentication failed: ', err);
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* return;
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* }
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* if (authClient.createScopedRequired && authClient.createScopedRequired()) {
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* var scopes = ['https://www.googleapis.com/auth/cloud-platform'];
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* authClient = authClient.createScoped(scopes);
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* }
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* callback(authClient);
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* });
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* }
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*
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* @alias prediction.trainedmodels.get
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* @memberOf! prediction(v1.6)
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*
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* @param {object} params Parameters for request
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* @param {string} params.id The unique name for the predictive model.
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* @param {string} params.project The project associated with the model.
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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/v1.6/projects/{project}/trainedmodels/{id}').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: ['project', 'id'],
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pathParams: ['id', 'project'],
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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.trainedmodels.insert
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*
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* @desc Train a Prediction API model.
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*
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* @example
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* // BEFORE RUNNING:
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* // ---------------
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* // 1. If not already done, enable the Prediction API
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|
* // and check the quota for your project at
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|
* // 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
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* // `npm install googleapis --save`
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*
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* var google = require('googleapis');
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* var prediction = google.prediction('v1.6');
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*
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* authorize(function(authClient) {
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* var request = {
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* // The project associated with the model.
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* project: 'my-project', // TODO: Update placeholder value.
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*
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* resource: {
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* // TODO: Add desired properties to the request body.
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* },
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*
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* auth: authClient,
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* };
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*
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* prediction.trainedmodels.insert(request, function(err, response) {
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* if (err) {
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* console.error(err);
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* return;
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* }
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*
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* // TODO: Change code below to process the `response` object:
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* console.log(JSON.stringify(response, null, 2));
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* });
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* });
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*
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* function authorize(callback) {
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* google.auth.getApplicationDefault(function(err, authClient) {
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* if (err) {
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* console.error('authentication failed: ', err);
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* return;
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* }
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* if (authClient.createScopedRequired && authClient.createScopedRequired()) {
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* var scopes = ['https://www.googleapis.com/auth/cloud-platform'];
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* authClient = authClient.createScoped(scopes);
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* }
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* callback(authClient);
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* });
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* }
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*
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* @alias prediction.trainedmodels.insert
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* @memberOf! prediction(v1.6)
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*
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* @param {object} params Parameters for request
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* @param {string} params.project The project associated with the model.
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* @param {prediction(v1.6).Insert} 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/v1.6/projects/{project}/trainedmodels').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: ['project'],
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pathParams: ['project'],
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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.trainedmodels.list
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*
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* @desc List available models.
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*
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* @example
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* // BEFORE RUNNING:
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* // ---------------
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* // 1. If not already done, enable the Prediction API
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* // 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
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|
* // `npm install googleapis --save`
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*
|
|
* 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
|