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