/*
* Copyright 2016 IBM Corp.
*
* 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.
*/
var Utils = require('../../utils.js');
var gKernelP;
/**
* Model for Support Vector Machines (SVMs).
*
* @param weights Weights computed for every feature.
* @param intercept Intercept computed for this model.
* @memberof module:eclairjs/mllib/classification
* @classdesc
* @param {module:eclairjs/mllib/linalg.Vector} weights
* @param {float} intercept
* @class
*/
function SVMModel() {
Utils.handleConstructor(this, arguments, gKernelP);
}
/**
* Sets the threshold that separates positive predictions from negative predictions. An example
* with prediction score greater than or equal to this threshold is identified as an positive,
* and negative otherwise. The default value is 0.0.
* @param {number} threshold
* @returns {}
*/
SVMModel.prototype.setThreshold = function(threshold) {
throw "not implemented by ElairJS";
};
/**
* Returns the threshold (if any) used for converting raw prediction scores into 0/1 predictions.
* @returns {Promise.<number>}
*/
SVMModel.prototype.getThreshold = function() {
throw "not implemented by ElairJS";
};
/**
* Clears the threshold so that `predict` will output raw prediction scores.
* @returns {module:eclairjs/mllib/classification.SVMModel}
*/
SVMModel.prototype.clearThreshold = function() {
var args = {
target: this,
method: 'clearThreshold',
returnType: SVMModel
};
return Utils.generate(args);
};
/**
* @param {module:eclairjs.SparkContext} sc
* @param {string} path
* @returns {Promise.<Void>} A Promise that resolves to nothing.
*/
SVMModel.prototype.save = function(sc,path) {
throw "not implemented by ElairJS";
};
/**
* @returns {Promise.<string>}
*/
SVMModel.prototype.toString = function() {
throw "not implemented by ElairJS";
};
SVMModel.moduleLocation = '/mllib/classification/SVMModel';
module.exports = function(kP) {
if (kP) gKernelP = kP;
return SVMModel;
};