public double GetScore(RegressionMetrics metrics)
{
if (metrics == null)
{
return(double.NaN);
}
switch (_optimizingMetric)
{
case RegressionMetric.MeanAbsoluteError:
return(metrics.MeanAbsoluteError);
case RegressionMetric.MeanSquaredError:
return(metrics.MeanSquaredError);
case RegressionMetric.RootMeanSquaredError:
return(metrics.RootMeanSquaredError);
case RegressionMetric.RSquared:
return(metrics.RSquared);
default:
throw MetricsAgentUtil.BuildMetricNotSupportedException(_optimizingMetric);
}
}
public bool IsModelPerfect(double score)
{
if (double.IsNaN(score))
{
return(false);
}
switch (_optimizingMetric)
{
case RegressionMetric.MeanAbsoluteError:
return(score == 0);
case RegressionMetric.MeanSquaredError:
return(score == 0);
case RegressionMetric.RootMeanSquaredError:
return(score == 0);
case RegressionMetric.RSquared:
return(score == 1);
default:
throw MetricsAgentUtil.BuildMetricNotSupportedException(_optimizingMetric);
}
}
public bool IsModelPerfect(double score)
{
if (double.IsNaN(score))
{
return(false);
}
switch (_optimizingMetric)
{
case MulticlassClassificationMetric.MacroAccuracy:
return(score == 1);
case MulticlassClassificationMetric.MicroAccuracy:
return(score == 1);
case MulticlassClassificationMetric.LogLoss:
return(score == 0);
case MulticlassClassificationMetric.LogLossReduction:
return(score == 1);
case MulticlassClassificationMetric.TopKAccuracy:
return(score == 1);
default:
throw MetricsAgentUtil.BuildMetricNotSupportedException(_optimizingMetric);
}
}
public double GetScore(MulticlassClassificationMetrics metrics)
{
if (metrics == null)
{
return(double.NaN);
}
switch (_optimizingMetric)
{
case MulticlassClassificationMetric.MacroAccuracy:
return(metrics.MacroAccuracy);
case MulticlassClassificationMetric.MicroAccuracy:
return(metrics.MicroAccuracy);
case MulticlassClassificationMetric.LogLoss:
return(metrics.LogLoss);
case MulticlassClassificationMetric.LogLossReduction:
return(metrics.LogLossReduction);
case MulticlassClassificationMetric.TopKAccuracy:
return(metrics.TopKAccuracy);
default:
throw MetricsAgentUtil.BuildMetricNotSupportedException(_optimizingMetric);
}
}
// REVIEW: model can't be perfect with DCG
public bool IsModelPerfect(double score)
{
if (double.IsNaN(score))
{
return(false);
}
switch (_optimizingMetric)
{
case RankingMetric.Ndcg:
return(score == 1);
case RankingMetric.Dcg:
return(false);
default:
throw MetricsAgentUtil.BuildMetricNotSupportedException(_optimizingMetric);
}
}
// Optimizing metric used: NDCG@10 and DCG@10
public double GetScore(RankingMetrics metrics)
{
if (metrics == null)
{
return(double.NaN);
}
switch (_optimizingMetric)
{
case RankingMetric.Ndcg:
return(metrics.NormalizedDiscountedCumulativeGains[Math.Min(metrics.NormalizedDiscountedCumulativeGains.Count, (int)_dcgTruncationLevel) - 1]);
case RankingMetric.Dcg:
return(metrics.DiscountedCumulativeGains[Math.Min(metrics.DiscountedCumulativeGains.Count, (int)_dcgTruncationLevel) - 1]);
default:
throw MetricsAgentUtil.BuildMetricNotSupportedException(_optimizingMetric);
}
}
// Optimizing metric used: NDCG@10 and DCG@10
public double GetScore(RankingMetrics metrics)
{
if (metrics == null)
{
return(double.NaN);
}
switch (_optimizingMetric)
{
case RankingMetric.Ndcg:
return((metrics.NormalizedDiscountedCumulativeGains.Count >= 10) ? metrics.NormalizedDiscountedCumulativeGains[9] :
metrics.NormalizedDiscountedCumulativeGains[metrics.NormalizedDiscountedCumulativeGains.Count - 1]);
case RankingMetric.Dcg:
return((metrics.DiscountedCumulativeGains.Count >= 10) ? metrics.DiscountedCumulativeGains[9] :
metrics.DiscountedCumulativeGains[metrics.DiscountedCumulativeGains.Count - 1]);
default:
throw MetricsAgentUtil.BuildMetricNotSupportedException(_optimizingMetric);
}
}
public bool IsModelPerfect(double score)
{
if (double.IsNaN(score))
{
return(false);
}
switch (_optimizingMetric)
{
case BinaryClassificationMetric.Accuracy:
return(score == 1);
case BinaryClassificationMetric.AreaUnderRocCurve:
return(score == 1);
case BinaryClassificationMetric.AreaUnderPrecisionRecallCurve:
return(score == 1);
case BinaryClassificationMetric.F1Score:
return(score == 1);
case BinaryClassificationMetric.NegativePrecision:
return(score == 1);
case BinaryClassificationMetric.NegativeRecall:
return(score == 1);
case BinaryClassificationMetric.PositivePrecision:
return(score == 1);
case BinaryClassificationMetric.PositiveRecall:
return(score == 1);
default:
throw MetricsAgentUtil.BuildMetricNotSupportedException(_optimizingMetric);
}
}
public double GetScore(BinaryClassificationMetrics metrics)
{
if (metrics == null)
{
return(double.NaN);
}
switch (_optimizingMetric)
{
case BinaryClassificationMetric.Accuracy:
return(metrics.Accuracy);
case BinaryClassificationMetric.AreaUnderRocCurve:
return(metrics.AreaUnderRocCurve);
case BinaryClassificationMetric.AreaUnderPrecisionRecallCurve:
return(metrics.AreaUnderPrecisionRecallCurve);
case BinaryClassificationMetric.F1Score:
return(metrics.F1Score);
case BinaryClassificationMetric.NegativePrecision:
return(metrics.NegativePrecision);
case BinaryClassificationMetric.NegativeRecall:
return(metrics.NegativeRecall);
case BinaryClassificationMetric.PositivePrecision:
return(metrics.PositivePrecision);
case BinaryClassificationMetric.PositiveRecall:
return(metrics.PositiveRecall);
default:
throw MetricsAgentUtil.BuildMetricNotSupportedException(_optimizingMetric);
}
}
