/*
* 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;
/**
* Decision tree model for classification or regression.
* This model stores the decision tree structure and parameters.
* @param topNode root node
* @param algo algorithm type -- classification or regression
* @classdesc
* @class
* @memberof module:eclairjs/mllib/tree/model
*/
function DecisionTreeModel() {
Utils.handleConstructor(this, arguments, gKernelP);
}
/**
* Predict values for a single data point using the model trained.
*
* @param {module:eclairjs/mllib/linalg.Vector} features array representing a single data point
* @returns {Promise.<number>} Double prediction from the trained model
*/
DecisionTreeModel.prototype.predict0 = function(features) {
throw "not implemented by ElairJS";
//
// function _resolve(result, resolve, reject) {
// var returnValue=parseInt(result)
// resolve(returnValue);
// };
// var args ={
// target: this,
// method: 'predict',
// args: [
// { value: features, type: 'Vector' }
// ],
// resolver: _resolve,
// returnType: Number
//
// };
//
// return Utils.generate(args);
};
/**
* Predict values for the given data set using the model trained.
*
* @param {module:eclairjs/rdd.RDD} features RDD representing data points to be predicted
* @returns {module:eclairjs/rdd.RDD} RDD of predictions for each of the given data points
*/
DecisionTreeModel.prototype.predict1 = function(features) {
throw "not implemented by ElairJS";
// var args ={
// target: this,
// method: 'predict',
// args: [
// { value: features, type: 'RDD' }
// ],
// returnType: RDD
//
// };
//
// return Utils.generate(args);
};
/**
* Predict values for the given data set using the model trained.
*
* @param {JavaRDD} features JavaRDD representing data points to be predicted
* @returns {JavaRDD} JavaRDD of predictions for each of the given data points
*/
DecisionTreeModel.prototype.predict2 = function(features) {
throw "not implemented by ElairJS";
// var args ={
// target: this,
// method: 'predict',
// args: [
// { value: features, type: 'JavaRDD' }
// ],
// returnType: JavaRDD
//
// };
//
// return Utils.generate(args);
};
/**
* Get number of nodes in tree, including leaf nodes.
* @returns {Promise.<number>}
*/
DecisionTreeModel.prototype.numNodes = function() {
throw "not implemented by ElairJS";
//
// function _resolve(result, resolve, reject) {
// var returnValue=parseInt(result)
// resolve(returnValue);
// };
// var args ={
// target: this,
// method: 'numNodes',
// resolver: _resolve,
// returnType: Number
//
// };
//
// return Utils.generate(args);
};
/**
* Get depth of tree.
* E.g.: Depth 0 means 1 leaf node. Depth 1 means 1 internal node and 2 leaf nodes.
* @returns {Promise.<number>}
*/
DecisionTreeModel.prototype.depth = function() {
throw "not implemented by ElairJS";
//
// function _resolve(result, resolve, reject) {
// var returnValue=parseInt(result)
// resolve(returnValue);
// };
// var args ={
// target: this,
// method: 'depth',
// resolver: _resolve,
// returnType: Number
//
// };
//
// return Utils.generate(args);
};
/**
* Print a summary of the model.
* @returns {Promise.<string>}
*/
DecisionTreeModel.prototype.toString = function() {
throw "not implemented by ElairJS";
//
// function _resolve(result, resolve, reject) {
// var returnValue=result
// resolve(returnValue);
// };
// var args ={
// target: this,
// method: 'toString',
// resolver: _resolve,
// returnType: String
//
// };
//
// return Utils.generate(args);
};
/**
* Print the full model to a string.
* @returns {Promise.<string>}
*/
DecisionTreeModel.prototype.toDebugString = function() {
throw "not implemented by ElairJS";
//
// function _resolve(result, resolve, reject) {
// var returnValue=result
// resolve(returnValue);
// };
// var args ={
// target: this,
// method: 'toDebugString',
// resolver: _resolve,
// returnType: String
//
// };
//
// return Utils.generate(args);
};
/**
* @param {module:eclairjs.SparkContext} sc Spark context used to save model data.
* @param {string} path Path specifying the directory in which to save this model.
* If the directory already exists, this method throws an exception.
* @returns {Promise.<Void>} A Promise that resolves to nothing.
*/
DecisionTreeModel.prototype.save = function(sc,path) {
throw "not implemented by ElairJS";
// var args ={
// target: this,
// method: 'save',
// args: [
// { value: sc, type: 'SparkContext' },
// { value: path, type: 'string' }
// ],
// returnType: null
//
// };
//
// return Utils.generate(args);
};
//
// static methods
//
/**
*
* @param {module:eclairjs.SparkContext} sc Spark context used for loading model files.
* @param {string} path Path specifying the directory to which the model was saved.
* @returns {module:eclairjs/mllib/tree/model.DecisionTreeModel} Model instance
*/
DecisionTreeModel.load = function(sc,path) {
throw "not implemented by ElairJS";
// var args ={
// target: DecisionTreeModel,
// method: 'load',
// args: [
// { value: sc, type: 'SparkContext' },
// { value: path, type: 'string' }
// ],
// returnType: DecisionTreeModel
//
// };
//
// return Utils.generate(args);
};
DecisionTreeModel.moduleLocation = '/mllib/tree/model/DecisionTreeModel';
return DecisionTreeModel;
})();
};