| /* |
| * Licensed to the Apache Software Foundation (ASF) under one or more |
| * contributor license agreements. See the NOTICE file distributed with |
| * this work for additional information regarding copyright ownership. |
| * The ASF licenses this file to You 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. |
| */ |
| |
| package org.apache.commons.math3.ml.neuralnet.sofm; |
| |
| import org.apache.commons.math3.exception.NotStrictlyPositiveException; |
| import org.apache.commons.math3.exception.OutOfRangeException; |
| import org.apache.commons.math3.exception.NumberIsTooLargeException; |
| import org.junit.Test; |
| import org.junit.Assert; |
| |
| /** |
| * Tests for {@link LearningFactorFunctionFactory} class. |
| */ |
| public class LearningFactorFunctionFactoryTest { |
| @Test(expected=OutOfRangeException.class) |
| public void testExponentialDecayPrecondition0() { |
| LearningFactorFunctionFactory.exponentialDecay(0d, 0d, 2); |
| } |
| @Test(expected=OutOfRangeException.class) |
| public void testExponentialDecayPrecondition1() { |
| LearningFactorFunctionFactory.exponentialDecay(1 + 1e-10, 0d, 2); |
| } |
| @Test(expected=NotStrictlyPositiveException.class) |
| public void testExponentialDecayPrecondition2() { |
| LearningFactorFunctionFactory.exponentialDecay(1d, 0d, 2); |
| } |
| @Test(expected=NumberIsTooLargeException.class) |
| public void testExponentialDecayPrecondition3() { |
| LearningFactorFunctionFactory.exponentialDecay(1d, 1d, 100); |
| } |
| @Test(expected=NotStrictlyPositiveException.class) |
| public void testExponentialDecayPrecondition4() { |
| LearningFactorFunctionFactory.exponentialDecay(1d, 0.2, 0); |
| } |
| |
| @Test |
| public void testExponentialDecayTrivial() { |
| final int n = 65; |
| final double init = 0.5; |
| final double valueAtN = 0.1; |
| final LearningFactorFunction f |
| = LearningFactorFunctionFactory.exponentialDecay(init, valueAtN, n); |
| |
| Assert.assertEquals(init, f.value(0), 0d); |
| Assert.assertEquals(valueAtN, f.value(n), 0d); |
| Assert.assertEquals(0, f.value(Long.MAX_VALUE), 0d); |
| } |
| |
| @Test(expected=OutOfRangeException.class) |
| public void testQuasiSigmoidDecayPrecondition0() { |
| LearningFactorFunctionFactory.quasiSigmoidDecay(0d, -1d, 2); |
| } |
| @Test(expected=OutOfRangeException.class) |
| public void testQuasiSigmoidDecayPrecondition1() { |
| LearningFactorFunctionFactory.quasiSigmoidDecay(1 + 1e-10, -1d, 2); |
| } |
| @Test(expected=NumberIsTooLargeException.class) |
| public void testQuasiSigmoidDecayPrecondition3() { |
| LearningFactorFunctionFactory.quasiSigmoidDecay(1d, 0d, 100); |
| } |
| @Test(expected=NotStrictlyPositiveException.class) |
| public void testQuasiSigmoidDecayPrecondition4() { |
| LearningFactorFunctionFactory.quasiSigmoidDecay(1d, -1d, 0); |
| } |
| |
| @Test |
| public void testQuasiSigmoidDecayTrivial() { |
| final int n = 65; |
| final double init = 0.5; |
| final double slope = -1e-1; |
| final LearningFactorFunction f |
| = LearningFactorFunctionFactory.quasiSigmoidDecay(init, slope, n); |
| |
| Assert.assertEquals(init, f.value(0), 0d); |
| // Very approximate derivative. |
| Assert.assertEquals(slope, f.value(n) - f.value(n - 1), 1e-2); |
| Assert.assertEquals(0, f.value(Long.MAX_VALUE), 0d); |
| } |
| } |