/*
* Encog(tm) Core v3.3 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2014 Heaton Research, Inc.
*
* 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.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.ml.linear;
import junit.framework.TestCase;
import org.encog.ml.data.MLDataSet;
import org.encog.ml.data.basic.BasicMLDataSet;
import org.encog.ml.fitting.linear.LinearRegression;
import org.encog.ml.fitting.linear.TrainLinearRegression;
import org.encog.util.Format;
public class TestLinearRegression extends TestCase {
public void testLinear1() {
double[][] INPUT = { {3}, {6}, {4}, {5} };
double[][] IDEAL = { {0}, {-3}, {-1}, {-2} };
MLDataSet data = new BasicMLDataSet(INPUT,IDEAL);
LinearRegression lin = new LinearRegression(1);
TrainLinearRegression train = new TrainLinearRegression(lin,data);
train.iteration();
System.out.println("w0 = " + Format.formatDouble(lin.getWeights()[0],2));
System.out.println("w1 = " + Format.formatDouble(lin.getWeights()[1],2));
System.out.println("Error: " + lin.calculateError(data));
}
public void testLinear2() {
double[][] INPUT = { {2}, {4}, {6}, {8} };
double[][] IDEAL = { {2}, {5}, {5}, {8} };
MLDataSet data = new BasicMLDataSet(INPUT,IDEAL);
LinearRegression lin = new LinearRegression(1);
TrainLinearRegression train = new TrainLinearRegression(lin,data);
train.iteration();
System.out.println("w0 = " + Format.formatDouble(lin.getWeights()[0],2));
System.out.println("w1 = " + Format.formatDouble(lin.getWeights()[1],2));
System.out.println("Error: " + lin.calculateError(data));
}
}