#region License Information /* HeuristicLab * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using HeuristicLab.Core; using HeuristicLab.Persistence; namespace HeuristicLab.Algorithms.DataAnalysis { public delegate double MeanFunctionDelegate(double[,] x, int row); public delegate double MeanGradientDelegate(double[,] x, int row, int k); public class ParameterizedMeanFunction { public MeanFunctionDelegate Mean { get; set; } public MeanGradientDelegate Gradient { get; set; } } [StorableType("5a0e9004-0e77-42c2-90f9-744896c1224f")] public interface IMeanFunction : IItem { int GetNumberOfParameters(int numberOfVariables); void SetParameter(double[] p); ParameterizedMeanFunction GetParameterizedMeanFunction(double[] p, int[] columnIndices); } }