#region License Information
/* HeuristicLab
* Copyright (C) 2002-2018 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 System.Collections.Generic;
using System.Linq;
namespace HeuristicLab.Problems.DataAnalysis {
public class ConfusionMatrixCalculator {
public static double[,] Calculate(IEnumerable originalValues, IEnumerable estimatedValues, out OnlineCalculatorError errorState) {
if (!originalValues.Any() || !estimatedValues.Any()) {
errorState = OnlineCalculatorError.InsufficientElementsAdded;
return null;
}
Dictionary classValueIndexMapping = new Dictionary();
int index = 0;
foreach (double classValue in originalValues.OrderBy(x => x)) {
if (!classValueIndexMapping.ContainsKey(classValue)) {
classValueIndexMapping.Add(classValue, index);
index++;
}
}
int classes = classValueIndexMapping.Count;
double[,] confusionMatrix = new double[classes, classes];
IEnumerator originalEnumerator = originalValues.GetEnumerator();
IEnumerator estimatedEnumerator = estimatedValues.GetEnumerator();
int originalIndex;
int estimatedIndex;
while (originalEnumerator.MoveNext() & estimatedEnumerator.MoveNext()) {
if (!classValueIndexMapping.TryGetValue(originalEnumerator.Current, out originalIndex)) {
errorState = OnlineCalculatorError.InvalidValueAdded;
return null;
}
if (!classValueIndexMapping.TryGetValue(estimatedEnumerator.Current, out estimatedIndex)) {
errorState = OnlineCalculatorError.InvalidValueAdded;
return null;
}
confusionMatrix[estimatedIndex, originalIndex] += 1;
}
if (originalEnumerator.MoveNext() || estimatedEnumerator.MoveNext()) {
throw new ArgumentException("Number of elements in originalValues and estimatedValues enumerations doesn't match.");
}
errorState = OnlineCalculatorError.None;
return confusionMatrix;
}
}
}