/* * Encog(tm) Core v2.5 - Java Version * http://www.heatonresearch.com/encog/ * http://code.google.com/p/encog-java/ * Copyright 2008-2010 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.neural.networks.training.lma; /** * Calculate the Jacobian. */ public interface ComputeJacobian { /** * Calculate the Jacobian. * @param weights The neural network weights and bias values. * @return The sum of squared errors. */ double calculate(double[] weights); /** * @return The Jacobian matrix after it is calculated. */ double[][] getJacobian(); /** * @return The errors for each row of the matrix. */ double[] getRowErrors(); }