/* * 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.util.normalize; 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.mapped.OutputFieldEncode; import org.encog.util.normalize.target.NormalizationStorageArray2D; import org.junit.Assert; public class TestMapped extends TestCase { public static final double[][] ARRAY_2D = { {1.0,2.0,3.0,4.0,5.0}, {6.0,7.0,8.0,9.0} }; private DataNormalization create(double[][] arrayOutput) { InputField a,b; NormalizationStorageArray2D target = new NormalizationStorageArray2D(arrayOutput); OutputFieldEncode a1; OutputFieldEncode b1; DataNormalization norm = new DataNormalization(); norm.setReport(new NullStatusReportable()); norm.setTarget(target); norm.addInputField(a = new InputFieldArray2D(false,ARRAY_2D,0)); norm.addInputField(b = new InputFieldArray2D(false,ARRAY_2D,1)); norm.addOutputField(a1 = new OutputFieldEncode(a)); norm.addOutputField(b1 = new OutputFieldEncode(b)); a1.addRange(1.0, 2.0, 0.1); b1.addRange(0, 100, 0.2); return norm; } public void check(double[][] arrayOutput) { Assert.assertEquals(arrayOutput[0][0],0.1,0.1); Assert.assertEquals(arrayOutput[1][0],0.0,0.1); Assert.assertEquals(arrayOutput[0][1],0.1,0.1); Assert.assertEquals(arrayOutput[1][1],0.2,0.1); } public void testOutputFieldEncode() { double[][] arrayOutput = new double[2][2]; DataNormalization norm = create(arrayOutput); norm.process(); check(arrayOutput); } public void testOutputFieldEncodeSerialize() throws Exception { double[][] arrayOutput = new double[2][2]; DataNormalization norm = create(arrayOutput); norm = (DataNormalization)SerializeRoundTrip.roundTrip(norm); arrayOutput = ((NormalizationStorageArray2D)norm.getStorage()).getArray(); norm.process(); check(arrayOutput); } }