/*
* 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.
*/
module.exports = function(kernelP) {
return (function() {
var Utils = require('../../utils.js');
var Classifier = require('./Classifier')();
/**
* @classdesc
*
* Single-label binary or multiclass classifier which can output class conditional probabilities.
*
* @class
* @memberof module:eclairjs/ml/classification
* @extends module:eclairjs/ml/classification.Classifier
*/
function ProbabilisticClassifier() {
Utils.handleAbstractConstructor(this, arguments);
}
ProbabilisticClassifier.prototype = Object.create(Classifier.prototype);
ProbabilisticClassifier.prototype.constructor = ProbabilisticClassifier;
/**
* @param {string} value
* @returns {object}
*/
ProbabilisticClassifier.prototype.setProbabilityCol = function(value) {
var args = {
target: this,
method: 'setProbabilityCol',
args: Utils.wrapArguments(arguments),
returnType: Utils.getContextClass(this)
};
return Utils.generate(args);
};
/**
* @returns {module:eclairjs/ml/param.Param}
*/
ProbabilisticClassifier.prototype.probabilityCol = function() {
var Param = require('../param/Param')();
var args = {
target: this,
method: 'probabilityCol',
args: Utils.wrapArguments(arguments),
returnType: Param
};
return Utils.generate(args);
};
/**
* @param {float[]} value
* @returns {object}
*/
ProbabilisticClassifier.prototype.setThresholds = function(value) {
var args = {
target: this,
method: 'setThresholds',
args: Utils.wrapArguments(arguments),
returnType: Utils.getContextClass(this)
};
return Utils.generate(args);
};
/**
* @returns {module:eclairjs/ml/param.Param}
*/
ProbabilisticClassifier.prototype.thresholds = function() {
var Param = require('../param/Param')();
var args = {
target: this,
method: 'thresholds',
args: Utils.wrapArguments(arguments),
returnType: Param
};
return Utils.generate(args);
};
return ProbabilisticClassifier;
})();
};