/*
* 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 gKernelP = kernelP;
/**
* @classdesc
* [[http://en.wikipedia.org/wiki/Decision_tree_learning Decision tree]] model for regression.
* It supports both continuous and categorical features.
* @param rootNode Root of the decision tree
* @class
* @memberof module:eclairjs/ml/regression
* @extends module:eclairjs/mllib/tree/model.DecisionTreeModel
*/
function DecisionTreeRegressionModel() {
Utils.handleConstructor(this, arguments, gKernelP);
}
/**
* @param {string} value
* @returns {type}
*/
DecisionTreeRegressionModel.prototype.setVarianceCol = function(value) {
var args ={
target: this,
method: 'setVarianceCol',
args: Utils.wrapArguments(arguments),
returnType: DecisionTreeRegressionModel
};
return Utils.generate(args);
};
/**
* @param {module:eclairjs/sql.Dataset} dataset
* @returns {DataFrame}
*/
DecisionTreeRegressionModel.prototype.transform = function(dataset) {
var args ={
target: this,
method: 'transform',
args: Utils.wrapArguments(arguments),
returnType: DataFrame
};
return Utils.generate(args);
};
/**
* @param {module:eclairjs/ml/param.ParamMap} extra
* @returns {module:eclairjs/ml/regression.DecisionTreeRegressionModel}
*/
DecisionTreeRegressionModel.prototype.copy = function(extra) {
var args = {
target: this,
method: 'copy',
args: Utils.wrapArguments(arguments),
returnType: DecisionTreeRegressionModel
};
return Utils.generate(args);
};
/**
* @returns {MLWriter}
*/
DecisionTreeRegressionModel.prototype.write = function() {
var MLWriter = require('../../ml/util/MLWriter.js');
var args ={
target: this,
method: 'write',
returnType: MLWriter
};
return Utils.generate(args);
};
//
// static methods
//
/**
* @returns {MLReader}
*/
DecisionTreeRegressionModel.read = function() {
var MLReader = require('../../ml/util/MLReader.js');
var args ={
target: DecisionTreeRegressionModel,
method: 'read',
static: true,
returnType: MLReader
};
return Utils.generate(args);
};
/**
* @param {string} path
* @returns {DecisionTreeRegressionModel}
*/
DecisionTreeRegressionModel.load = function(path) {
var args ={
target: DecisionTreeRegressionModel,
method: 'load',
args: Utils.wrapArguments(arguments),
static: true,
returnType: DecisionTreeRegressionModel
};
return Utils.generate(args);
};
DecisionTreeRegressionModel.moduleLocation = '/ml/regression/DecisionTreeRegressionModel';
return DecisionTreeRegressionModel;
})();
};