Package org.encog.ml.linear

Source Code of org.encog.ml.linear.TestLinearRegression

/*
* 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.
*  
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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));
  }
}
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