internal MultiClassClassifierMetricsStatistics()
{
MacroAccuracy = new MetricStatistics();
MicroAccuracy = new MetricStatistics();
LogLoss = new MetricStatistics();
LogLossReduction = new MetricStatistics();
TopKAccuracy = new MetricStatistics();
}
internal RegressionMetricsStatistics()
{
MeanAbsoluteError = new MetricStatistics();
MeanSquaredError = new MetricStatistics();
RootMeanSquaredError = new MetricStatistics();
LossFunction = new MetricStatistics();
RSquared = new MetricStatistics();
}
public static MetricStatistics[] InitializeArray(int length)
{
var array = new MetricStatistics[length];
for (int i = 0; i < array.Length; i++)
{
array[i] = new MetricStatistics();
}
return(array);
}
internal BinaryClassificationMetricsStatistics()
{
AreaUnderRocCurve = new MetricStatistics();
Accuracy = new MetricStatistics();
PositivePrecision = new MetricStatistics();
PositiveRecall = new MetricStatistics();
NegativePrecision = new MetricStatistics();
NegativeRecall = new MetricStatistics();
F1Score = new MetricStatistics();
AreaUnderPrecisionRecallCurve = new MetricStatistics();
}
