public BenchmarkStatistics(int numOfFeatureClasses)
{
MacroAccuracy = new StatValue();
MicroAccuracy = new StatValue();
LogLoss = new StatValue();
LogLossReduction = new StatValue();
TimeTakenMiliSeconds = new StatValue();
StatConfusionMatrix = new StatConfusionMatrix(numOfFeatureClasses);
}
/// <summary>
/// Creates a stat confusion matrix. Requires <see cref="MachineLearning.IDtoEmotion"/> to be set up.
/// </summary>
/// <param name="numOfClasses"></param>
public StatConfusionMatrix(int numOfClasses)
{
// Get names of emotions.
IdToEmotionName = MachineLearning.IDtoEmotion;
// Setup the rest of the values.
PerClassPrescision = new Dictionary <int, StatValue>(numOfClasses);
PerClassRecall = new Dictionary <int, StatValue>(numOfClasses);
RecallMatrix = new StatValue[numOfClasses, numOfClasses];
for (int i = 0; i < numOfClasses; ++i)
{
PerClassRecall[i] = new StatValue();
PerClassPrescision[i] = new StatValue();
for (int j = 0; j < numOfClasses; ++j)
{
RecallMatrix[i, j] = new StatValue();
}
}
}
