/*
* Encog(tm) Core v3.4 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2016 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.data.temporal;
import java.util.Iterator;
import junit.framework.TestCase;
import org.encog.engine.network.activation.ActivationTANH;
import org.encog.ml.data.MLDataPair;
import org.encog.ml.data.temporal.TemporalDataDescription.Type;
public class TestTemporal extends TestCase {
public void testBasicTemporal()
{
TemporalMLDataSet temporal = new TemporalMLDataSet(5,1);
temporal.addDescription(new TemporalDataDescription(Type.RAW, true, false));
temporal.addDescription(new TemporalDataDescription(Type.RAW, true, false));
temporal.addDescription(new TemporalDataDescription(Type.RAW, false, true));
for(int i=0;i<10;i++)
{
TemporalPoint tp = temporal.createPoint(i);
tp.setData(0, 1.0+(i*3));
tp.setData(1, 2.0+(i*3));
tp.setData(2, 3.0+(i*3));
}
temporal.generate();
TestCase.assertEquals(10, temporal.getInputNeuronCount());
TestCase.assertEquals(1, temporal.getOutputNeuronCount());
TestCase.assertEquals(10, temporal.calculateActualSetSize());
Iterator<MLDataPair> itr = temporal.iterator();
// set 0
MLDataPair pair = itr.next();
TestCase.assertEquals(10, pair.getInput().size());
TestCase.assertEquals(1, pair.getIdeal().size());
TestCase.assertEquals(1.0, pair.getInput().getData(0));
TestCase.assertEquals(2.0, pair.getInput().getData(1));
TestCase.assertEquals(4.0, pair.getInput().getData(2));
TestCase.assertEquals(5.0, pair.getInput().getData(3));
TestCase.assertEquals(7.0, pair.getInput().getData(4));
TestCase.assertEquals(8.0, pair.getInput().getData(5));
TestCase.assertEquals(10.0, pair.getInput().getData(6));
TestCase.assertEquals(11.0, pair.getInput().getData(7));
TestCase.assertEquals(13.0, pair.getInput().getData(8));
TestCase.assertEquals(14.0, pair.getInput().getData(9));
TestCase.assertEquals(18.0, pair.getIdeal().getData(0));
// set 1
pair = itr.next();
TestCase.assertEquals(10, pair.getInput().size());
TestCase.assertEquals(1, pair.getIdeal().size());
TestCase.assertEquals(4.0, pair.getInput().getData(0));
TestCase.assertEquals(5.0, pair.getInput().getData(1));
TestCase.assertEquals(7.0, pair.getInput().getData(2));
TestCase.assertEquals(8.0, pair.getInput().getData(3));
TestCase.assertEquals(10.0, pair.getInput().getData(4));
TestCase.assertEquals(11.0, pair.getInput().getData(5));
TestCase.assertEquals(13.0, pair.getInput().getData(6));
TestCase.assertEquals(14.0, pair.getInput().getData(7));
TestCase.assertEquals(16.0, pair.getInput().getData(8));
TestCase.assertEquals(17.0, pair.getInput().getData(9));
TestCase.assertEquals(21.0, pair.getIdeal().getData(0));
// set 2
pair = itr.next();
TestCase.assertEquals(10, pair.getInput().size());
TestCase.assertEquals(1, pair.getIdeal().size());
TestCase.assertEquals(7.0, pair.getInput().getData(0));
TestCase.assertEquals(8.0, pair.getInput().getData(1));
TestCase.assertEquals(10.0, pair.getInput().getData(2));
TestCase.assertEquals(11.0, pair.getInput().getData(3));
TestCase.assertEquals(13.0, pair.getInput().getData(4));
TestCase.assertEquals(14.0, pair.getInput().getData(5));
TestCase.assertEquals(16.0, pair.getInput().getData(6));
TestCase.assertEquals(17.0, pair.getInput().getData(7));
TestCase.assertEquals(19.0, pair.getInput().getData(8));
TestCase.assertEquals(20.0, pair.getInput().getData(9));
TestCase.assertEquals(24.0, pair.getIdeal().getData(0));
// set 3
pair = itr.next();
TestCase.assertEquals(10, pair.getInput().size());
TestCase.assertEquals(1, pair.getIdeal().size());
TestCase.assertEquals(10.0, pair.getInput().getData(0));
TestCase.assertEquals(11.0, pair.getInput().getData(1));
TestCase.assertEquals(13.0, pair.getInput().getData(2));
TestCase.assertEquals(14.0, pair.getInput().getData(3));
TestCase.assertEquals(16.0, pair.getInput().getData(4));
TestCase.assertEquals(17.0, pair.getInput().getData(5));
TestCase.assertEquals(19.0, pair.getInput().getData(6));
TestCase.assertEquals(20.0, pair.getInput().getData(7));
TestCase.assertEquals(22.0, pair.getInput().getData(8));
TestCase.assertEquals(23.0, pair.getInput().getData(9));
TestCase.assertEquals(27.0, pair.getIdeal().getData(0));
TestCase.assertNull(itr.next());
}
public void testHiLowTemporal()
{
TemporalMLDataSet temporal = new TemporalMLDataSet(5,1);
temporal.addDescription(new TemporalDataDescription(Type.RAW, true, false));
temporal.addDescription(new TemporalDataDescription(Type.RAW, true, false));
temporal.addDescription(new TemporalDataDescription(Type.RAW, false, true));
for(int i=0;i<10;i++)
{
TemporalPoint tp = temporal.createPoint(i);
tp.setData(0, 1.0+(i*3));
tp.setData(1, 2.0+(i*3));
tp.setData(2, 3.0+(i*3));
}
temporal.setHighSequence(8);
temporal.setLowSequence(2);
temporal.generate();
TestCase.assertEquals(10, temporal.getInputNeuronCount());
TestCase.assertEquals(1, temporal.getOutputNeuronCount());
TestCase.assertEquals(7, temporal.calculateActualSetSize());
Iterator<MLDataPair> itr = temporal.iterator();
// set 0
MLDataPair pair = itr.next();
TestCase.assertEquals(10, pair.getInput().size());
TestCase.assertEquals(1, pair.getIdeal().size());
TestCase.assertEquals(7.0, pair.getInput().getData(0));
TestCase.assertEquals(8.0, pair.getInput().getData(1));
TestCase.assertEquals(10.0, pair.getInput().getData(2));
TestCase.assertEquals(11.0, pair.getInput().getData(3));
TestCase.assertEquals(13.0, pair.getInput().getData(4));
TestCase.assertEquals(14.0, pair.getInput().getData(5));
TestCase.assertEquals(16.0, pair.getInput().getData(6));
TestCase.assertEquals(17.0, pair.getInput().getData(7));
TestCase.assertEquals(19.0, pair.getInput().getData(8));
TestCase.assertEquals(20.0, pair.getInput().getData(9));
TestCase.assertEquals(24.0, pair.getIdeal().getData(0));
// only one set
TestCase.assertNull(itr.next());
}
public void testFormatTemporal()
{
TemporalMLDataSet temporal = new TemporalMLDataSet(5,1);
temporal.addDescription(new TemporalDataDescription(Type.DELTA_CHANGE, true, false));
temporal.addDescription(new TemporalDataDescription(Type.PERCENT_CHANGE, true, false));
temporal.addDescription(new TemporalDataDescription(Type.RAW, false, true));
for(int i=0;i<10;i++)
{
TemporalPoint tp = temporal.createPoint(i);
tp.setData(0, 1.0+(i*3));
tp.setData(1, 2.0+(i*3));
tp.setData(2, 3.0+(i*3));
}
temporal.generate();
Iterator<MLDataPair> itr = temporal.iterator();
// set 0
MLDataPair pair = itr.next();
TestCase.assertEquals(10, pair.getInput().size());
TestCase.assertEquals(1, pair.getIdeal().size());
TestCase.assertEquals(3.0, pair.getInput().getData(0));
TestCase.assertEquals(1.5, pair.getInput().getData(1));
TestCase.assertEquals(3.0, pair.getInput().getData(2));
TestCase.assertEquals(0.6, pair.getInput().getData(3));
TestCase.assertEquals(3.0, pair.getInput().getData(4));
TestCase.assertEquals(0.375, pair.getInput().getData(5));
TestCase.assertEquals(3.0, pair.getInput().getData(6));
TestCase.assertEquals(0.25, Math.round(pair.getInput().getData(7)*4.0)/4.0);
TestCase.assertEquals(3.0, pair.getInput().getData(8));
TestCase.assertEquals(0.25, Math.round(pair.getInput().getData(9)*4.0)/4.0);
TestCase.assertEquals(18.0, pair.getIdeal().getData(0));
}
public void testActivationTemporal()
{
TemporalMLDataSet temporal = new TemporalMLDataSet(5,1);
temporal.addDescription(new TemporalDataDescription(new ActivationTANH(),Type.RAW, true, false));
temporal.addDescription(new TemporalDataDescription(new ActivationTANH(),Type.RAW, true, false));
temporal.addDescription(new TemporalDataDescription(new ActivationTANH(),Type.RAW, false, true));
for(int i=0;i<10;i++)
{
TemporalPoint tp = temporal.createPoint(i);
tp.setData(0, 1.0+(i*3));
tp.setData(1, 2.0+(i*3));
tp.setData(2, 3.0+(i*3));
}
temporal.generate();
Iterator<MLDataPair> itr = temporal.iterator();
// set 0
MLDataPair pair = itr.next();
TestCase.assertEquals(10, pair.getInput().size());
TestCase.assertEquals(1, pair.getIdeal().size());
TestCase.assertEquals(0.75, Math.round(pair.getInput().getData(0)*4.0)/4.0);
TestCase.assertEquals(1.0, Math.round(pair.getInput().getData(1)*4.0)/4.0);
TestCase.assertEquals(1.0, Math.round(pair.getInput().getData(2)*4.0)/4.0);
TestCase.assertEquals(1.0, Math.round(pair.getInput().getData(3)*4.0)/4.0);
}
}