[5649] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2011 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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[5942] | 23 | using System.Collections.Generic;
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[5649] | 24 | using HeuristicLab.Common;
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| 25 |
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| 26 | namespace HeuristicLab.Problems.DataAnalysis {
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[5942] | 27 | public class OnlineAccuracyCalculator : IOnlineCalculator {
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[5649] | 28 |
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| 29 | private int correctlyClassified;
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| 30 | private int n;
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| 31 | public double Accuracy {
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| 32 | get {
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[5894] | 33 | return correctlyClassified / (double)n;
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[5649] | 34 | }
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| 35 | }
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| 36 |
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[5942] | 37 | public OnlineAccuracyCalculator() {
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[5649] | 38 | Reset();
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| 39 | }
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| 40 |
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[5942] | 41 | #region IOnlineCalculator Members
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| 42 | private OnlineCalculatorError errorState;
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| 43 | public OnlineCalculatorError ErrorState {
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[5894] | 44 | get { return errorState; }
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| 45 | }
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[5649] | 46 | public double Value {
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| 47 | get { return Accuracy; }
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| 48 | }
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| 49 | public void Reset() {
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| 50 | n = 0;
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| 51 | correctlyClassified = 0;
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[5942] | 52 | errorState = OnlineCalculatorError.InsufficientElementsAdded;
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[5649] | 53 | }
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| 54 |
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| 55 | public void Add(double original, double estimated) {
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[5894] | 56 | // ignore cases where original is NaN completly
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| 57 | if (!double.IsNaN(original)) {
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| 58 | // increment number of observed samples
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[5649] | 59 | n++;
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[5894] | 60 | if (original.IsAlmost(estimated)) {
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| 61 | // original = estimated = +Inf counts as correctly classified
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| 62 | // original = estimated = -Inf counts as correctly classified
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| 63 | correctlyClassified++;
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| 64 | }
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[5942] | 65 | errorState = OnlineCalculatorError.None; // number of (non-NaN) samples >= 1
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[5649] | 66 | }
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| 67 | }
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| 68 | #endregion
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| 69 |
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[5942] | 70 | public static double Calculate(IEnumerable<double> first, IEnumerable<double> second, out OnlineCalculatorError errorState) {
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[5649] | 71 | IEnumerator<double> firstEnumerator = first.GetEnumerator();
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| 72 | IEnumerator<double> secondEnumerator = second.GetEnumerator();
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[5942] | 73 | OnlineAccuracyCalculator accuracyCalculator = new OnlineAccuracyCalculator();
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[5649] | 74 |
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| 75 | // always move forward both enumerators (do not use short-circuit evaluation!)
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| 76 | while (firstEnumerator.MoveNext() & secondEnumerator.MoveNext()) {
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| 77 | double estimated = secondEnumerator.Current;
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| 78 | double original = firstEnumerator.Current;
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[5942] | 79 | accuracyCalculator.Add(original, estimated);
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[5945] | 80 | if (accuracyCalculator.ErrorState != OnlineCalculatorError.None) break;
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[5649] | 81 | }
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| 82 |
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| 83 | // check if both enumerators are at the end to make sure both enumerations have the same length
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[5945] | 84 | if (accuracyCalculator.ErrorState == OnlineCalculatorError.None &&
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| 85 | (secondEnumerator.MoveNext() || firstEnumerator.MoveNext())) {
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[5649] | 86 | throw new ArgumentException("Number of elements in first and second enumeration doesn't match.");
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| 87 | } else {
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[5942] | 88 | errorState = accuracyCalculator.ErrorState;
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| 89 | return accuracyCalculator.Accuracy;
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[5649] | 90 | }
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| 91 | }
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| 92 | }
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| 93 | }
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