2 writes to LogLossReduction
Microsoft.ML.Data (2)
Evaluators\Metrics\MulticlassClassificationMetrics.cs (2)
124
LogLossReduction
= FetchDouble(MulticlassClassificationEvaluator.LogLossReduction);
141
LogLossReduction
= logLossReduction;
23 references to LogLossReduction
Microsoft.ML.AutoML (5)
API\MulticlassClassificationExperiment.cs (2)
70
/// See <see cref="MulticlassClassificationMetrics.
LogLossReduction
"/>.
455
MulticlassClassificationMetric.LogLossReduction => metrics.
LogLossReduction
,
AutoMLExperiment\IMetricManager.cs (1)
102
MulticlassClassificationMetric.LogLossReduction => metric.
LogLossReduction
,
Experiment\MetricsAgents\MultiMetricsAgent.cs (1)
37
return metrics.
LogLossReduction
;
Experiment\Runners\CrossValSummaryRunner.cs (1)
124
logLossReduction: GetAverageOfNonNaNScores(newMetrics.Select(x => x.
LogLossReduction
)),
Microsoft.ML.AutoML.Samples (1)
AutoFit\MulticlassClassificationExperiment.cs (1)
66
Console.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)
95
Assert.InRange(metrics.
LogLossReduction
, 0.94, 0.96);
ScenariosWithDirectInstantiation\IrisPlantClassificationTests.cs (1)
98
Assert.InRange(metrics.
LogLossReduction
, 0.94, 0.96);
Microsoft.ML.Transforms (4)
MetricStatistics.cs (2)
235
/// Summary statistics for <see cref="MulticlassClassificationMetrics.
LogLossReduction
"/>.
267
LogLossReduction.Add(metrics.
LogLossReduction
);
PermutationFeatureImportanceExtensions.cs (2)
477
logLossReduction: a.
LogLossReduction
- b.
LogLossReduction
,