[3996] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using System;
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| 23 | using System.Collections.Generic;
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| 24 | using System.Linq;
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| 25 | using System.Text;
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| 26 | using HeuristicLab.Common;
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| 27 | using HeuristicLab.Core;
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| 28 | using HeuristicLab.Data;
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| 29 | using HeuristicLab.Parameters;
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| 30 |
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| 31 | namespace HeuristicLab.Problems.DataAnalysis.Evaluators {
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| 32 | public class OnlineMeanSquaredErrorEvaluator : IOnlineEvaluator {
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| 33 |
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| 34 | private double sse;
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| 35 | private int n;
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| 36 | public double MeanSquaredError {
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| 37 | get {
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| 38 | if (n < 1)
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| 39 | throw new InvalidOperationException("No elements");
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| 40 | else
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| 41 | return sse / n;
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| 42 | }
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| 43 | }
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| 44 |
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| 45 | public OnlineMeanSquaredErrorEvaluator() {
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| 46 | Reset();
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| 47 | }
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| 48 |
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| 49 | #region IOnlineEvaluator Members
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[4022] | 50 | public double Value {
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| 51 | get { return MeanSquaredError; }
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| 52 | }
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[3996] | 53 | public void Reset() {
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| 54 | n = 0;
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| 55 | sse = 0.0;
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| 56 | }
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| 57 |
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| 58 | public void Add(double original, double estimated) {
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| 59 | if (double.IsNaN(estimated) || double.IsInfinity(estimated) ||
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| 60 | double.IsNaN(original) || double.IsInfinity(original)) {
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[4022] | 61 | throw new ArgumentException("Mean squared error is not defined for NaN or infinity elements");
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[3996] | 62 | } else {
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| 63 | double error = estimated - original;
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| 64 | sse += error * error;
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| 65 | n++;
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| 66 | }
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| 67 | }
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| 68 | #endregion
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| 69 | }
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| 70 | }
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