/*
* 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 PipelineStage = require('../PipelineStage.js')();
var gKernelP = kernelP;
/**
* @classdesc
* [Decision tree]{@link http://en.wikipedia.org/wiki/Decision_tree_learning} learning algorithm
* for classification.
* It supports both binary and multiclass labels, as well as both continuous and categorical
* features.
* @class
* @extends module:eclairjs/ml.PipelineStage
* @memberof module:eclairjs/ml/classification
* @param {string} [uid]
*/
function DecisionTreeClassifier() {
Utils.handleConstructor(this, arguments, gKernelP);
}
DecisionTreeClassifier.prototype = Object.create(PipelineStage.prototype);
DecisionTreeClassifier.prototype.constructor = DecisionTreeClassifier;
/**
* Accessor for supported impurities: entropy, gini
* @returns {Promise.<string[]>}
*/
DecisionTreeClassifier.prototype.supportedImpurities = function() {
var args = {
target: this,
method: 'supportedImpurities',
args: Utils.wrapArguments(arguments),
returnType: [String]
};
return Utils.generate(args);
};
/**
* An immutable unique ID for the object and its derivatives.
* @returns {Promise.<string[]>}
*/
DecisionTreeClassifier.prototype.uid = function () {
var args = {
target: this,
method: 'uid',
args: Utils.wrapArguments(arguments),
returnType: String
};
return Utils.generate(args);
};
/**
* @param {number} value
* @returns {module:eclairjs/ml/classification.DecisionTreeClassifier}
*/
DecisionTreeClassifier.prototype.setMaxDepth = function(value) {
var args = {
target: this,
method: 'setMaxDepth',
args: Utils.wrapArguments(arguments),
returnType: DecisionTreeClassifier
};
return Utils.generate(args);
};
/**
* @param {number} value
* @returns {module:eclairjs/ml/classification.DecisionTreeClassifier}
*/
DecisionTreeClassifier.prototype.setMaxBins = function(value) {
var args = {
target: this,
method: 'setMaxBins',
args: Utils.wrapArguments(arguments),
returnType: DecisionTreeClassifier
};
return Utils.generate(args);
};
/**
* @param {number} value
* @returns {module:eclairjs/ml/classification.DecisionTreeClassifier}
*/
DecisionTreeClassifier.prototype.setMinInstancesPerNode = function(value) {
var args = {
target: this,
method: 'setMinInstancesPerNode',
args: Utils.wrapArguments(arguments),
returnType: DecisionTreeClassifier
};
return Utils.generate(args);
};
/**
* @param {number} value
* @returns {module:eclairjs/ml/classification.DecisionTreeClassifier}
*/
DecisionTreeClassifier.prototype.setMinInfoGain = function(value) {
var args = {
target: this,
method: 'setMinInfoGain',
args: Utils.wrapArguments(arguments),
returnType: DecisionTreeClassifier
};
return Utils.generate(args);
};
/**
* @param {number} value
* @returns {module:eclairjs/ml/classification.DecisionTreeClassifier}
*/
DecisionTreeClassifier.prototype.setMaxMemoryInMB = function(value) {
var args = {
target: this,
method: 'setMaxMemoryInMB',
args: Utils.wrapArguments(arguments),
returnType: DecisionTreeClassifier
};
return Utils.generate(args);
};
/**
* @param {boolean} value
* @returns {module:eclairjs/ml/classification.DecisionTreeClassifier}
*/
DecisionTreeClassifier.prototype.setCacheNodeIds = function(value) {
var args = {
target: this,
method: 'setCacheNodeIds',
args: Utils.wrapArguments(arguments),
returnType: DecisionTreeClassifier
};
return Utils.generate(args);
};
/**
* @param {number} value
* @returns {module:eclairjs/ml/classification.DecisionTreeClassifier}
*/
DecisionTreeClassifier.prototype.setCheckpointInterval = function(value) {
var args = {
target: this,
method: 'setCheckpointInterval',
args: Utils.wrapArguments(arguments),
returnType: DecisionTreeClassifier
};
return Utils.generate(args);
};
/**
* @param {string} value
* @returns {module:eclairjs/ml/classification.DecisionTreeClassifier}
*/
DecisionTreeClassifier.prototype.setImpurity = function(value) {
var args = {
target: this,
method: 'setImpurity',
args: Utils.wrapArguments(arguments),
returnType: DecisionTreeClassifier
};
return Utils.generate(args);
};
/**
* @param {number} value
* @returns {module:eclairjs/ml/classification.DecisionTreeClassifier}
*/
DecisionTreeClassifier.prototype.setSeed = function(value) {
var args = {
target: this,
method: 'setSeed',
args: Utils.wrapArguments(arguments),
returnType: DecisionTreeClassifier
};
return Utils.generate(args);
};
/**
* @param {string} value
* @returns {module:eclairjs/ml/classification.DecisionTreeClassifier} value
*/
DecisionTreeClassifier.prototype.setLabelCol = function(value) {
var args = {
target: this,
method: 'setLabelCol',
args: Utils.wrapArguments(arguments),
returnType: DecisionTreeClassifier
};
return Utils.generate(args);
};
/**
* @param {string} value
* @returns {module:eclairjs/ml/classification.DecisionTreeClassifier} value
*/
DecisionTreeClassifier.prototype.setFeaturesCol = function(value) {
var args = {
target: this,
method: 'setFeaturesCol',
args: Utils.wrapArguments(arguments),
returnType: DecisionTreeClassifier
};
return Utils.generate(args);
};
/**
* @param {module:eclairjs/ml/param.ParamMap} extra
* @returns {module:eclairjs/ml/classification.DecisionTreeClassifier}
*/
DecisionTreeClassifier.prototype.copy = function(extra) {
var args = {
target: this,
method: 'copy',
args: Utils.wrapArguments(arguments),
returnType: DecisionTreeClassifier
};
return Utils.generate(args);
};
DecisionTreeClassifier.moduleLocation = '/ml/classification/DecisionTreeClassifier';
return DecisionTreeClassifier;
})();
};