/* * Artificial Intelligence for Humans * Volume 1: Fundamental Algorithms * Java Version * http://www.aifh.org * http://www.jeffheaton.com * * Code repository: * https://github.com/jeffheaton/aifh * Copyright 2013 by Jeff Heaton * * 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 com.heatonresearch.aifh.general.fns; import com.heatonresearch.aifh.AIFH; import org.junit.Test; import static org.junit.Assert.assertEquals; /** * Test the Gaussian function. */ public class TestGaussianFunction { @Test public void testEvaluate() { final double[] params = {5, 0, 0, 0}; final GaussianFunction funct = new GaussianFunction(3, params, 0); final double[] x = {-1, 0, 1}; final double y = funct.evaluate(x); assertEquals(0.9607894391523232, y, AIFH.DEFAULT_PRECISION); } @Test public void testToString() { final double[] params = {5, 0, 0, 0}; final GaussianFunction funct = new GaussianFunction(3, params, 0); final double[] x = {-1, 0, 1}; funct.evaluate(x); assertEquals("[GaussianFunction:width=5.00,center=0.00,0.00,0.00]", funct.toString()); } @Test public void testOther() { final double[] params = {5, 0, 0, 0}; final GaussianFunction funct = new GaussianFunction(3, params, 0); assertEquals(3, funct.getDimensions()); funct.setCenter(0, 100); assertEquals(100, funct.getCenter(0), AIFH.DEFAULT_PRECISION); funct.setWidth(5); assertEquals(5, funct.getWidth(), AIFH.DEFAULT_PRECISION); } }