2 writes to LogLossReduction
Microsoft.ML.Data (2)
Evaluators\Metrics\MulticlassClassificationMetrics.cs (2)
124LogLossReduction = FetchDouble(MulticlassClassificationEvaluator.LogLossReduction); 141LogLossReduction = logLossReduction;
23 references to LogLossReduction
Microsoft.ML.AutoML (5)
API\MulticlassClassificationExperiment.cs (2)
70/// See <see cref="MulticlassClassificationMetrics.LogLossReduction"/>. 455MulticlassClassificationMetric.LogLossReduction => metrics.LogLossReduction,
AutoMLExperiment\IMetricManager.cs (1)
102MulticlassClassificationMetric.LogLossReduction => metric.LogLossReduction,
Experiment\MetricsAgents\MultiMetricsAgent.cs (1)
37return metrics.LogLossReduction;
Experiment\Runners\CrossValSummaryRunner.cs (1)
124logLossReduction: GetAverageOfNonNaNScores(newMetrics.Select(x => x.LogLossReduction)),
Microsoft.ML.AutoML.Samples (1)
AutoFit\MulticlassClassificationExperiment.cs (1)
66Console.WriteLine($"LogLossReduction: {metrics.LogLossReduction}");
Microsoft.ML.Samples (11)
Dynamic\Trainers\MulticlassClassification\LbfgsMaximumEntropy.cs (1)
136$"Log Loss Reduction: {metrics.LogLossReduction:F2}\n");
Dynamic\Trainers\MulticlassClassification\LbfgsMaximumEntropyWithOptions.cs (1)
144$"Log Loss Reduction: {metrics.LogLossReduction:F2}\n");
Dynamic\Trainers\MulticlassClassification\LightGbm.cs (1)
139$"Log Loss Reduction: {metrics.LogLossReduction:F2}\n");
Dynamic\Trainers\MulticlassClassification\LightGbmWithOptions.cs (1)
149$"Log Loss Reduction: {metrics.LogLossReduction:F2}\n");
Dynamic\Trainers\MulticlassClassification\NaiveBayes.cs (1)
144$"Log Loss Reduction: {metrics.LogLossReduction:F2}\n");
Dynamic\Trainers\MulticlassClassification\OneVersusAll.cs (1)
137$"Log Loss Reduction: {metrics.LogLossReduction:F2}\n");
Dynamic\Trainers\MulticlassClassification\PairwiseCoupling.cs (1)
137$"Log Loss Reduction: {metrics.LogLossReduction:F2}\n");
Dynamic\Trainers\MulticlassClassification\SdcaMaximumEntropy.cs (1)
143$"Log Loss Reduction: {metrics.LogLossReduction:F2}\n");
Dynamic\Trainers\MulticlassClassification\SdcaMaximumEntropyWithOptions.cs (1)
153$"Log Loss Reduction: {metrics.LogLossReduction:F2}\n");
Dynamic\Trainers\MulticlassClassification\SdcaNonCalibrated.cs (1)
144$"Log Loss Reduction: {metrics.LogLossReduction:F2}\n");
Dynamic\Trainers\MulticlassClassification\SdcaNonCalibratedWithOptions.cs (1)
153$"Log Loss Reduction: {metrics.LogLossReduction:F2}\n");
Microsoft.ML.Tests (2)
Scenarios\IrisPlantClassificationWithStringLabelTests.cs (1)
95Assert.InRange(metrics.LogLossReduction, 0.94, 0.96);
ScenariosWithDirectInstantiation\IrisPlantClassificationTests.cs (1)
98Assert.InRange(metrics.LogLossReduction, 0.94, 0.96);
Microsoft.ML.Transforms (4)
MetricStatistics.cs (2)
235/// Summary statistics for <see cref="MulticlassClassificationMetrics.LogLossReduction"/>. 267LogLossReduction.Add(metrics.LogLossReduction);
PermutationFeatureImportanceExtensions.cs (2)
477logLossReduction: a.LogLossReduction - b.LogLossReduction,