/// <summary>
/// Add a set of evaluation metrics to the set of observations.
/// </summary>
/// <param name="metrics">The observed binary classification evaluation metric</param>
void IMetricsStatistics <MultiClassClassifierMetrics> .Add(MultiClassClassifierMetrics metrics)
{
MacroAccuracy.Add(metrics.MacroAccuracy);
MicroAccuracy.Add(metrics.MicroAccuracy);
LogLoss.Add(metrics.LogLoss);
LogLossReduction.Add(metrics.LogLossReduction);
TopKAccuracy.Add(metrics.TopKAccuracy);
if (PerClassLogLoss == null)
{
PerClassLogLoss = MetricsStatisticsUtils.InitializeArray(metrics.PerClassLogLoss.Count);
}
MetricsStatisticsUtils.AddToEach(metrics.PerClassLogLoss, PerClassLogLoss);
}
/// <summary>
/// Add a set of evaluation metrics to the set of observations.
/// </summary>
/// <param name="metrics">The observed regression evaluation metric</param>
void IMetricsStatistics <RankingMetrics> .Add(RankingMetrics metrics)
{
if (DiscountedCumulativeGains == null)
{
DiscountedCumulativeGains = MetricsStatisticsUtils.InitializeArray(metrics.DiscountedCumulativeGains.Count);
}
if (NormalizedDiscountedCumulativeGains == null)
{
NormalizedDiscountedCumulativeGains = MetricsStatisticsUtils.InitializeArray(metrics.NormalizedDiscountedCumulativeGains.Count);
}
MetricsStatisticsUtils.AddToEach(metrics.DiscountedCumulativeGains, DiscountedCumulativeGains);
MetricsStatisticsUtils.AddToEach(metrics.NormalizedDiscountedCumulativeGains, NormalizedDiscountedCumulativeGains);
}