MATH-503
Added sigmoid and generalized logistic functions. git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1065146 13f79535-47bb-0310-9956-ffa450edef68
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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.commons.math.analysis.function;
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import org.apache.commons.math.analysis.UnivariateRealFunction;
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import org.apache.commons.math.exception.NotStrictlyPositiveException;
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import org.apache.commons.math.util.FastMath;
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/**
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* <a href="http://en.wikipedia.org/wiki/Generalised_logistic_function">
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* Generalised logistic</a> function.
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*
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* @version $Revision$ $Date$
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* @since 3.0
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*/
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public class Logistic implements UnivariateRealFunction {
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/** Lower asymptote. */
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private final double a;
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/** Upper asymptote. */
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private final double k;
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/** Growth rate. */
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private final double b;
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/** Parameter that affects near which asymptote maximum growth occurs. */
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private final double n;
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/** Parameter that affects the position of the curve along the ordinate axis. */
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private final double q;
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/** Abscissa of maximum growth. */
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private final double m;
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/**
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* @param k Upper asymptote.
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* @param m Abscissa of maximum growth.
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* @param b Growth rate.
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* @param q Parameter that affects the position of the curve along the
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* ordinate axis.
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* @param a Lower asymptote.
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* @param n Parameter that affects near which asymptote the maximum
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* growth occurs.
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* @throws NotStrictlyPositiveException if {@code n <= 0}.
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*/
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public Logistic(double k,
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double m,
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double b,
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double q,
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double a,
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double n) {
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if (n <= 0) {
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throw new NotStrictlyPositiveException(n);
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}
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this.k = k;
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this.m = m;
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this.b = b;
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this.q = q;
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this.a = a;
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this.n = n;
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}
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/** {@inheritDoc} */
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public double value(double x) {
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return a + (k - a) / FastMath.pow((1 + q * FastMath.exp(b * (m - x))), 1 / n);
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}
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}
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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.commons.math.analysis.function;
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import org.apache.commons.math.analysis.UnivariateRealFunction;
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import org.apache.commons.math.exception.NotStrictlyPositiveException;
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import org.apache.commons.math.util.FastMath;
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/**
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* <a href="http://en.wikipedia.org/wiki/Sigmoid_function">
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* Sigmoid</a> function.
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* A more flexible version, the generalised logistic, is implemented
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* by the {@link Logistic} class.
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*
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* @version $Revision$ $Date$
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* @since 3.0
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*/
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public class Sigmoid implements UnivariateRealFunction {
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/** {@inheritDoc} */
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public double value(double x) {
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return 1 / (1 + FastMath.exp(-x));
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}
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}
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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.commons.math.analysis.function;
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import org.apache.commons.math.analysis.UnivariateRealFunction;
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import org.apache.commons.math.exception.NotStrictlyPositiveException;
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import org.apache.commons.math.util.FastMath;
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import org.junit.Assert;
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import org.junit.Test;
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/**
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* Test for class {@link Logistic}.
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*/
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public class LogisticTest {
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private final double EPS = Math.ulp(1d);
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@Test
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public void testPreconditions() {
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try {
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final UnivariateRealFunction f = new Logistic(1, 0, 1, 1, 0, -1);
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} catch (NotStrictlyPositiveException e) {
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// Expected.
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}
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try {
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final UnivariateRealFunction f = new Logistic(1, 0, 1, 1, 0, 0);
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} catch (NotStrictlyPositiveException e) {
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// Expected.
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}
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}
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@Test
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public void testCompareSigmoid() {
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final UnivariateRealFunction sig = new Sigmoid();
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final UnivariateRealFunction sigL = new Logistic(1, 0, 1, 1, 0, 1);
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final double min = -2;
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final double max = 2;
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final int n = 100;
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final double delta = (max - min) / n;
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for (int i = 0; i < n; i++) {
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final double x = min + i * delta;
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Assert.assertEquals("x=" + x, sig.value(x), sigL.value(x), EPS);
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}
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}
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@Test
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public void testSomeValues() {
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final double k = 4;
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final double m = 5;
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final double b = 2;
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final double q = 3;
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final double a = -1;
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final double n = 2;
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final UnivariateRealFunction f = new Logistic(k, m, b, q, a, n);
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double x;
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x = m;
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Assert.assertEquals("x=" + x, a + (k - a) / FastMath.sqrt(1 + q), f.value(x), EPS);
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x = Double.NEGATIVE_INFINITY;
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Assert.assertEquals("x=" + x, a, f.value(x), EPS);
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x = Double.POSITIVE_INFINITY;
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Assert.assertEquals("x=" + x, k, f.value(x), EPS);
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}
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}
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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.commons.math.analysis.function;
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import org.apache.commons.math.analysis.UnivariateRealFunction;
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import org.apache.commons.math.exception.NotStrictlyPositiveException;
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import org.apache.commons.math.util.FastMath;
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import org.junit.Assert;
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import org.junit.Test;
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/**
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* Test for class {@link Sigmoid}.
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*/
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public class SigmoidTest {
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private final double EPS = Math.ulp(1d);
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@Test
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public void testSomeValues() {
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final UnivariateRealFunction f = new Sigmoid();
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double x;
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x = 0;
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Assert.assertEquals("x=" + x, 0.5, f.value(x), EPS);
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x = Double.NEGATIVE_INFINITY;
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Assert.assertEquals("x=" + x, 0, f.value(x), EPS);
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x = Double.POSITIVE_INFINITY;
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Assert.assertEquals("x=" + x, 1, f.value(x), EPS);
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}
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}
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