#region License Information /* HeuristicLab * Copyright (C) 2002-2011 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 System; using HeuristicLab.Common; namespace HeuristicLab.Problems.DataAnalysis.Evaluators { public class OnlinePearsonsRSquaredEvaluator : IOnlineEvaluator { private OnlineCovarianceEvaluator covEvaluator = new OnlineCovarianceEvaluator(); private OnlineMeanAndVarianceCalculator sxEvaluator = new OnlineMeanAndVarianceCalculator(); private OnlineMeanAndVarianceCalculator syEvaluator = new OnlineMeanAndVarianceCalculator(); public double RSquared { get { double xVar = sxEvaluator.PopulationVariance; double yVar = syEvaluator.PopulationVariance; if (xVar.IsAlmost(0.0) || yVar.IsAlmost(0.0)) { return 0.0; } else { double r = covEvaluator.Covariance / (Math.Sqrt(xVar) * Math.Sqrt(yVar)); return r * r; } } } public OnlinePearsonsRSquaredEvaluator() { } #region IOnlineEvaluator Members public double Value { get { return RSquared; } } public void Reset() { covEvaluator.Reset(); sxEvaluator.Reset(); syEvaluator.Reset(); } public void Add(double x, double y) { if (IsInvalidValue(x) || IsInvalidValue(y)) { throw new ArgumentException("R² is not defined for variables with NaN or infinity values."); } covEvaluator.Add(x, y); sxEvaluator.Add(x); syEvaluator.Add(y); } #endregion private bool IsInvalidValue(double x) { return double.IsNaN(x) || double.IsInfinity(x); } } }