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(); }