/* * File: ParameterDerivativeFreeCostMinimizerTest.java * Authors: Kevin R. Dixon * Company: Sandia National Laboratories * Project: Cognitive Foundry * * Copyright Jul 4, 2008, Sandia Corporation. * Under the terms of Contract DE-AC04-94AL85000, there is a non-exclusive * license for use of this work by or on behalf of the U.S. Government. * Export of this program may require a license from the United States * Government. See CopyrightHistory.txt for complete details. * */ package gov.sandia.cognition.learning.algorithm.regression; import gov.sandia.cognition.learning.algorithm.gradient.GradientDescendable; /** * JUnit tests for class ParameterDerivativeFreeCostMinimizerTest * @author Kevin R. Dixon */ public class ParameterDerivativeFreeCostMinimizerTest extends MinimizerBasedParameterCostMinimizerTestHarness { /** * Entry point for JUnit tests for class ParameterDerivativeFreeCostMinimizerTest * @param testName name of this test */ public ParameterDerivativeFreeCostMinimizerTest( String testName) { super(testName); } @Override public ParameterDerivativeFreeCostMinimizer createInstance( GradientDescendable objectToOptimize ) { ParameterDerivativeFreeCostMinimizer mini = new ParameterDerivativeFreeCostMinimizer(); mini.setObjectToOptimize( objectToOptimize ); return mini; } @Override public void testConstructors() { System.out.println( "Constructors" ); ParameterDerivativeFreeCostMinimizer instance = new ParameterDerivativeFreeCostMinimizer(); // Should be clones here! assertNotNull( instance.getAlgorithm() ); assertNotSame( ParameterDerivativeFreeCostMinimizer.DEFAULT_FUNCTION_MINIMIZER, instance.getAlgorithm() ); assertTrue( ParameterDerivativeFreeCostMinimizer.DEFAULT_FUNCTION_MINIMIZER.getClass().isInstance( instance.getAlgorithm() ) ); assertSame( ParameterDerivativeFreeCostMinimizer.DEFAULT_COST_FUNCTION, instance.getCostFunction() ); } }