/*
* 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:
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*/
package org.encog.util.normalize;
import junit.framework.Assert;
import junit.framework.TestCase;
import org.encog.NullStatusReportable;
import org.encog.util.SerializeRoundTrip;
import org.encog.util.normalize.input.InputField;
import org.encog.util.normalize.input.InputFieldArray2D;
import org.encog.util.normalize.output.zaxis.OutputFieldZAxis;
import org.encog.util.normalize.output.zaxis.OutputFieldZAxisSynthetic;
import org.encog.util.normalize.output.zaxis.ZAxisGroup;
import org.encog.util.normalize.target.NormalizationStorageArray2D;
public class TestZAxis extends TestCase {
double[][] SAMPLE1 = {{-10,5,15},{-2,1,3}};
public DataNormalization create() {
InputField a;
InputField b;
InputField c;
double[][] arrayOutput = new double[2][4];
NormalizationStorageArray2D target = new NormalizationStorageArray2D(arrayOutput);
ZAxisGroup group = new ZAxisGroup();
DataNormalization norm = new DataNormalization();
norm.setReport(new NullStatusReportable());
norm.setTarget(target);
norm.addInputField(a = new InputFieldArray2D(false,SAMPLE1,0));
norm.addInputField(b = new InputFieldArray2D(false,SAMPLE1,1));
norm.addInputField(c = new InputFieldArray2D(false,SAMPLE1,2));
norm.addOutputField(new OutputFieldZAxis(group,a));
norm.addOutputField(new OutputFieldZAxis(group,b));
norm.addOutputField(new OutputFieldZAxis(group,c));
norm.addOutputField(new OutputFieldZAxisSynthetic(group));
return norm;
}
private void check(DataNormalization norm) {
double[][] arrayOutput = ((NormalizationStorageArray2D)norm.getStorage()).getArray();
Assert.assertEquals(-5.0,arrayOutput[0][0]);
Assert.assertEquals(2.5,arrayOutput[0][1]);
Assert.assertEquals(7.5,arrayOutput[0][2]);
Assert.assertEquals(0.0,arrayOutput[0][3]);
Assert.assertEquals(-1.0,arrayOutput[1][0]);
Assert.assertEquals(0.5,arrayOutput[1][1]);
Assert.assertEquals(1.5,arrayOutput[1][2]);
Assert.assertEquals(0.0,arrayOutput[1][3]);
}
public void testAbsolute()
{
DataNormalization norm = create();
norm.process();
check(norm);
}
public void testAbsoluteSerial() throws Exception
{
DataNormalization norm = create();
norm = (DataNormalization)SerializeRoundTrip.roundTrip(norm);
norm.process();
check(norm);
}
}