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old-slucajna-televizija/backend/node_modules/googleapis/apis/prediction/v1.2.js
GotPPay a75ea978f9 ..
2017-10-16 20:21:19 +02:00

245 lines
9.5 KiB
JavaScript

"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('v1.2');
*
* @namespace prediction
* @type {Function}
* @version v1.2
* @variation v1.2
* @param {object=} options Options for Prediction
*/
function Prediction(options) {
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 apirequest_1.default(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 apirequest_1.default(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 apirequest_1.default(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 apirequest_1.default(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 apirequest_1.default(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 apirequest_1.default(parameters, callback);
}
};
}
module.exports = Prediction;
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