/* * Apache License * Version 2.0, January 2004 * http://www.apache.org/licenses/ * * Copyright 2013 Aurelian Tutuianu * Copyright 2014 Aurelian Tutuianu * Copyright 2015 Aurelian Tutuianu * Copyright 2016 Aurelian Tutuianu * * 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. * */ package rapaio.experiment.math.optimization; import rapaio.data.Numeric; import rapaio.data.Var; import rapaio.math.linear.RV; import java.util.List; import java.util.function.BiFunction; /** * Created by <a href="mailto:padreati@yahoo.com">Aurelian Tutuianu</a> on 11/26/15. */ public interface Optimizer { /** * Performs optimization on the given inputs to find the minima of the function. * * @param eps the desired accuracy of the result. * @param iterationLimit the maximum number of iteration steps to allow * @param fn the function to optimize * @param fg the derivative of the function to optimize * @param x0 contains the initial estimate of the minima. The length should be equal to the number of variables being solved for. This value may be altered. * @param inputs a list of input data point values to learn from * @param outputs a vector containing the true values for each data point in <tt>inputs</tt> * @return the compute value for the optimization. */ Numeric optimize(double eps, int iterationLimit, BiFunction<RV, RV, Double> fn, BiFunction<RV, RV, Double> fg, RV x0, List<Var> inputs, Numeric outputs); }