19 references to GetAverageOfNonNaNScores
Microsoft.ML.AutoML (19)
Experiment\Runners\CrossValSummaryRunner.cs (19)
83var avgScore = GetAverageOfNonNaNScores(trainResults.Select(x => x.score)); 102auc: GetAverageOfNonNaNScores(newMetrics.Select(x => x.AreaUnderRocCurve)), 103accuracy: GetAverageOfNonNaNScores(newMetrics.Select(x => x.Accuracy)), 104positivePrecision: GetAverageOfNonNaNScores(newMetrics.Select(x => x.PositivePrecision)), 105positiveRecall: GetAverageOfNonNaNScores(newMetrics.Select(x => x.PositiveRecall)), 106negativePrecision: GetAverageOfNonNaNScores(newMetrics.Select(x => x.NegativePrecision)), 107negativeRecall: GetAverageOfNonNaNScores(newMetrics.Select(x => x.NegativeRecall)), 108f1Score: GetAverageOfNonNaNScores(newMetrics.Select(x => x.F1Score)), 109auprc: GetAverageOfNonNaNScores(newMetrics.Select(x => x.AreaUnderPrecisionRecallCurve)), 121accuracyMicro: GetAverageOfNonNaNScores(newMetrics.Select(x => x.MicroAccuracy)), 122accuracyMacro: GetAverageOfNonNaNScores(newMetrics.Select(x => x.MacroAccuracy)), 123logLoss: GetAverageOfNonNaNScores(newMetrics.Select(x => x.LogLoss)), 124logLossReduction: GetAverageOfNonNaNScores(newMetrics.Select(x => x.LogLossReduction)), 138l1: GetAverageOfNonNaNScores(newMetrics.Select(x => x.MeanAbsoluteError)), 139l2: GetAverageOfNonNaNScores(newMetrics.Select(x => x.MeanSquaredError)), 140rms: GetAverageOfNonNaNScores(newMetrics.Select(x => x.RootMeanSquaredError)), 141lossFunction: GetAverageOfNonNaNScores(newMetrics.Select(x => x.LossFunction)), 142rSquared: GetAverageOfNonNaNScores(newMetrics.Select(x => x.RSquared))); 178arr[i] = GetAverageOfNonNaNScores(results.Select(x => x.ElementAt(i)));