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Timestamp:
11/09/11 10:59:31 (12 years ago)
Author:
gkronber
Message:

#1081: cleared up definition of accuracy metrics for time series prognosis to make the distinction between one n-step forecast and n one-step forecasts clearer. Implemented calculators for time series accuracy metrics to support the calculation of the average accuracy over m n-step forecasts and adapted the unit tests accordingly.

File:
1 edited

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  • trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/OnlineTheilsUStatisticCalculator.cs

    r6964 r6974  
    2222using System;
    2323using System.Collections.Generic;
     24using HeuristicLab.Common;
    2425
    2526namespace HeuristicLab.Problems.DataAnalysis {
    26   public class OnlineTheilsUStatisticCalculator : IOnlineCalculator {
     27  public class OnlineTheilsUStatisticCalculator : IOnlineTimeSeriesCalculator {
    2728    private OnlineMeanAndVarianceCalculator squaredErrorMeanCalculator;
    2829    private OnlineMeanAndVarianceCalculator unbiasedEstimatorMeanCalculator;
    29     private double prevOriginal;
    30     private int n;
    3130
    3231    public double TheilsUStatistic {
     
    5251    }
    5352
    54     public void Add(double original, double estimated) {
    55       if (double.IsNaN(estimated) || double.IsInfinity(estimated) || double.IsNaN(original) || double.IsInfinity(original) || (errorState & OnlineCalculatorError.InvalidValueAdded) > 0) {
     53    public void Add(double startValue, IEnumerable<double> actualContinuation, IEnumerable<double> predictedContinuation) {
     54      if (double.IsNaN(startValue) || (errorState & OnlineCalculatorError.InvalidValueAdded) > 0) {
    5655        errorState = errorState | OnlineCalculatorError.InvalidValueAdded;
    57       } else if (n == 0) {
    58         prevOriginal = original;
    59         n++;
    6056      } else {
    61         // error of predicted change
    62         double errorEstimatedChange = (estimated - original);
    63         squaredErrorMeanCalculator.Add(errorEstimatedChange * errorEstimatedChange);
     57        var actualEnumerator = actualContinuation.GetEnumerator();
     58        var predictedEnumerator = predictedContinuation.GetEnumerator();
     59        while (actualEnumerator.MoveNext() & predictedEnumerator.MoveNext() & ErrorState != OnlineCalculatorError.InvalidValueAdded) {
     60          double actual = actualEnumerator.Current;
     61          double predicted = predictedEnumerator.Current;
     62          if (double.IsNaN(actual) || double.IsNaN(predicted)) {
     63            errorState = errorState | OnlineCalculatorError.InvalidValueAdded;
     64          } else {
     65            // error of predicted change
     66            double errorPredictedChange = (predicted - startValue) - (actual - startValue);
     67            squaredErrorMeanCalculator.Add(errorPredictedChange * errorPredictedChange);
    6468
    65         double errorNoChange = (original - prevOriginal);
    66         unbiasedEstimatorMeanCalculator.Add(errorNoChange * errorNoChange);
    67         errorState = errorState & (~OnlineCalculatorError.InsufficientElementsAdded);        // n >= 1
    68         prevOriginal = original;
    69         n++;
     69            double errorNoChange = (actual - startValue);
     70            unbiasedEstimatorMeanCalculator.Add(errorNoChange * errorNoChange);
     71          }
     72        }
     73        // check if both enumerators are at the end to make sure both enumerations have the same length
     74        if (actualEnumerator.MoveNext() || predictedEnumerator.MoveNext()) {
     75          errorState = errorState | OnlineCalculatorError.InvalidValueAdded;
     76        } else {
     77          errorState = errorState & (~OnlineCalculatorError.InsufficientElementsAdded); // n >= 1
     78        }
    7079      }
    7180    }
    7281
    73 
    7482    public void Reset() {
    75       prevOriginal = double.NaN;
    76       n = 0;
    7783      squaredErrorMeanCalculator.Reset();
    7884      unbiasedEstimatorMeanCalculator.Reset();
     
    8288    #endregion
    8389
    84     public static double Calculate(IEnumerable<double> originalValues, IEnumerable<double> estimatedValues, out OnlineCalculatorError errorState) {
    85       IEnumerator<double> originalValuesEnumerator = originalValues.GetEnumerator();
    86       IEnumerator<double> estimatedValuesEnumerator = estimatedValues.GetEnumerator();
     90    public static double Calculate(IEnumerable<double> startValues, IEnumerable<IEnumerable<double>> actualContinuations, IEnumerable<IEnumerable<double>> predictedContinuations, out OnlineCalculatorError errorState) {
     91      IEnumerator<double> startValueEnumerator = startValues.GetEnumerator();
     92      IEnumerator<IEnumerable<double>> actualContinuationsEnumerator = actualContinuations.GetEnumerator();
     93      IEnumerator<IEnumerable<double>> predictedContinuationsEnumerator = predictedContinuations.GetEnumerator();
    8794      OnlineTheilsUStatisticCalculator calculator = new OnlineTheilsUStatisticCalculator();
    8895
    89       // add first element of time series as a reference point
    90       originalValuesEnumerator.MoveNext();
    91       estimatedValuesEnumerator.MoveNext();
    92       calculator.Add(originalValuesEnumerator.Current, estimatedValuesEnumerator.Current);
    93 
    94       // always move forward both enumerators (do not use short-circuit evaluation!)
    95       while (originalValuesEnumerator.MoveNext() & estimatedValuesEnumerator.MoveNext()) {
    96         double estimated = estimatedValuesEnumerator.Current;
    97         double original = originalValuesEnumerator.Current;
    98         calculator.Add(original, estimated);
     96      // always move forward all enumerators (do not use short-circuit evaluation!)
     97      while (startValueEnumerator.MoveNext() & actualContinuationsEnumerator.MoveNext() & predictedContinuationsEnumerator.MoveNext()) {
     98        calculator.Add(startValueEnumerator.Current, actualContinuationsEnumerator.Current, predictedContinuationsEnumerator.Current);
    9999        if (calculator.ErrorState != OnlineCalculatorError.None) break;
    100100      }
    101101
    102       // check if both enumerators are at the end to make sure both enumerations have the same length
     102      // check if all enumerators are at the end to make sure both enumerations have the same length
    103103      if (calculator.ErrorState == OnlineCalculatorError.None &&
    104           (estimatedValuesEnumerator.MoveNext() || originalValuesEnumerator.MoveNext())) {
    105         throw new ArgumentException("Number of elements in originalValues and estimatedValues enumerations doesn't match.");
     104          (startValueEnumerator.MoveNext() || actualContinuationsEnumerator.MoveNext() || predictedContinuationsEnumerator.MoveNext())) {
     105        throw new ArgumentException("Number of elements in startValues, actualContinuations and estimatedValues predictedContinuations doesn't match.");
    106106      } else {
    107107        errorState = calculator.ErrorState;
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