2 writes to LogLoss
Microsoft.ML.Data (2)
Evaluators\Metrics\MulticlassClassificationMetrics.cs (2)
123
LogLoss
= FetchDouble(MulticlassClassificationEvaluator.LogLoss);
140
LogLoss
= logLoss;
29 references to LogLoss
Microsoft.ML.AutoML (5)
API\MulticlassClassificationExperiment.cs (2)
65
/// See <see cref="MulticlassClassificationMetrics.
LogLoss
"/>.
454
MulticlassClassificationMetric.LogLoss => metrics.
LogLoss
,
AutoMLExperiment\IMetricManager.cs (1)
101
MulticlassClassificationMetric.LogLoss => metric.
LogLoss
,
Experiment\MetricsAgents\MultiMetricsAgent.cs (1)
35
return metrics.
LogLoss
;
Experiment\Runners\CrossValSummaryRunner.cs (1)
123
logLoss: GetAverageOfNonNaNScores(newMetrics.Select(x => x.
LogLoss
)),
Microsoft.ML.AutoML.Samples (1)
AutoFit\MulticlassClassificationExperiment.cs (1)
65
Console.WriteLine($"LogLoss: {metrics.
LogLoss
}");
Microsoft.ML.IntegrationTests (2)
Common.cs (1)
228
Assert.True(metrics.
LogLoss
>= 0);
Training.cs (1)
501
Assert.Equal(0.4367, binaryClassificationMetrics.
LogLoss
, 0.0001);
Microsoft.ML.Samples (11)
Dynamic\Trainers\MulticlassClassification\LbfgsMaximumEntropy.cs (1)
134
Console.WriteLine($"Log Loss: {metrics.
LogLoss
:F2}");
Dynamic\Trainers\MulticlassClassification\LbfgsMaximumEntropyWithOptions.cs (1)
142
Console.WriteLine($"Log Loss: {metrics.
LogLoss
:F2}");
Dynamic\Trainers\MulticlassClassification\LightGbm.cs (1)
137
Console.WriteLine($"Log Loss: {metrics.
LogLoss
:F2}");
Dynamic\Trainers\MulticlassClassification\LightGbmWithOptions.cs (1)
147
Console.WriteLine($"Log Loss: {metrics.
LogLoss
:F2}");
Dynamic\Trainers\MulticlassClassification\NaiveBayes.cs (1)
142
Console.WriteLine($"Log Loss: {metrics.
LogLoss
:F2}");
Dynamic\Trainers\MulticlassClassification\OneVersusAll.cs (1)
135
Console.WriteLine($"Log Loss: {metrics.
LogLoss
:F2}");
Dynamic\Trainers\MulticlassClassification\PairwiseCoupling.cs (1)
135
Console.WriteLine($"Log Loss: {metrics.
LogLoss
:F2}");
Dynamic\Trainers\MulticlassClassification\SdcaMaximumEntropy.cs (1)
141
Console.WriteLine($"Log Loss: {metrics.
LogLoss
:F2}");
Dynamic\Trainers\MulticlassClassification\SdcaMaximumEntropyWithOptions.cs (1)
151
Console.WriteLine($"Log Loss: {metrics.
LogLoss
:F2}");
Dynamic\Trainers\MulticlassClassification\SdcaNonCalibrated.cs (1)
142
Console.WriteLine($"Log Loss: {metrics.
LogLoss
:F2}");
Dynamic\Trainers\MulticlassClassification\SdcaNonCalibratedWithOptions.cs (1)
151
Console.WriteLine($"Log Loss: {metrics.
LogLoss
:F2}");
Microsoft.ML.Tests (6)
Scenarios\IrisPlantClassificationTests.cs (1)
92
Assert.Equal(.06, metrics.
LogLoss
, 0.01);
Scenarios\IrisPlantClassificationWithStringLabelTests.cs (1)
94
Assert.Equal(.06, metrics.
LogLoss
, 0.01);
ScenariosWithDirectInstantiation\IrisPlantClassificationTests.cs (1)
97
Assert.InRange(metrics.
LogLoss
, .05, .06);
TrainerEstimators\SdcaTests.cs (3)
192
Assert.Equal(0.2411, metrics1.
LogLoss
, 0.0001);
194
Assert.Equal(0.2464, metrics2.
LogLoss
, 0.0001);
289
Assert.InRange(metrics.
LogLoss
, 0, 0.5);
Microsoft.ML.Transforms (4)
MetricStatistics.cs (2)
230
/// Summary statistics for <see cref="MulticlassClassificationMetrics.
LogLoss
"/>.
266
LogLoss.Add(metrics.
LogLoss
);
PermutationFeatureImportanceExtensions.cs (2)
476
logLoss: a.
LogLoss
- b.
LogLoss
,