1 instantiation of AnomalyDetectionMetrics
Microsoft.ML.Data (1)
Evaluators\AnomalyDetectionEvaluator.cs (1)
610
result = new
AnomalyDetectionMetrics
(Host, cursor);
8 references to AnomalyDetectionMetrics
Microsoft.ML.Data (4)
Evaluators\AnomalyDetectionEvaluator.cs (2)
588
internal
AnomalyDetectionMetrics
Evaluate(IDataView data, string label = DefaultColumnNames.Label, string score = DefaultColumnNames.Score,
605
AnomalyDetectionMetrics
result;
TrainCatalog.cs (2)
760
/// <param name="falsePositiveCount">The number of false positives to compute the <see cref="
AnomalyDetectionMetrics
.DetectionRateAtFalsePositiveCount"/> metric. </param>
762
public
AnomalyDetectionMetrics
Evaluate(IDataView data, string labelColumnName = DefaultColumnNames.Label, string scoreColumnName = DefaultColumnNames.Score,
Microsoft.ML.IntegrationTests (3)
Common.cs (2)
163
/// Check that a <see cref="
AnomalyDetectionMetrics
"/> object is valid.
166
public static void AssertMetrics(
AnomalyDetectionMetrics
metrics)
Evaluation.cs (1)
46
var
metrics = mlContext.AnomalyDetection.Evaluate(scoredTest);
Microsoft.ML.Tests (1)
AnomalyDetectionTests.cs (1)
34
var
metrics = ML.AnomalyDetection.Evaluate(transformedData, falsePositiveCount: 5);