"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;
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