#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 System.Collections.Generic;
using System.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Problems.DataAnalysis.Evaluators {
public class SimpleMeanAbsolutePercentageOfRangeErrorEvaluator : SimpleEvaluator {
public ILookupParameter AveragePercentageOfRangeErrorParameter {
get { return (ILookupParameter)Parameters["AveragePercentageOfRangeError"]; }
}
[StorableConstructor]
protected SimpleMeanAbsolutePercentageOfRangeErrorEvaluator(bool deserializing) : base(deserializing) { }
protected SimpleMeanAbsolutePercentageOfRangeErrorEvaluator(SimpleMeanAbsolutePercentageOfRangeErrorEvaluator original, Cloner cloner)
: base(original, cloner) {
}
public SimpleMeanAbsolutePercentageOfRangeErrorEvaluator() {
Parameters.Add(new LookupParameter("AveragePercentageOfRangeError", "The average relative (percentage of range) error of estimated values."));
}
protected override void Apply(DoubleMatrix values) {
var original = from i in Enumerable.Range(0, values.Rows)
select values[i, ORIGINAL_INDEX];
var estimated = from i in Enumerable.Range(0, values.Rows)
select values[i, ESTIMATION_INDEX];
AveragePercentageOfRangeErrorParameter.ActualValue = new PercentValue(Calculate(original, estimated));
}
public override IDeepCloneable Clone(Cloner cloner) {
return new SimpleMeanAbsolutePercentageOfRangeErrorEvaluator(this, cloner);
}
public static double Calculate(IEnumerable original, IEnumerable estimated) {
double errorsSum = 0.0;
int n = 0;
IList originalList = original as IList;
if (originalList == null) originalList = original.ToList();
double range = originalList.Max() - originalList.Min();
if (double.IsInfinity(range)) return double.MaxValue;
if (range.IsAlmost(0.0)) return double.MaxValue;
var originalEnumerator = original.GetEnumerator();
var estimatedEnumerator = estimated.GetEnumerator();
while (originalEnumerator.MoveNext() & estimatedEnumerator.MoveNext()) {
double e = estimatedEnumerator.Current;
double o = originalEnumerator.Current;
if (!double.IsNaN(e) && !double.IsInfinity(e) &&
!double.IsNaN(o) && !double.IsInfinity(o) && !o.IsAlmost(0.0)) {
double percent_error = Math.Abs((e - o) / range);
errorsSum += percent_error;
n++;
}
}
if (estimatedEnumerator.MoveNext() || originalEnumerator.MoveNext()) {
throw new ArgumentException("Number of elements in original and estimated enumeration doesn't match.");
} else if (n == 0) {
return double.MaxValue;
} else {
return errorsSum / n;
}
}
}
}