1 instantiation of ClusteringMetrics
Microsoft.ML.Data (1)
Evaluators\ClusteringEvaluator.cs (1)
90result = new ClusteringMetrics(Host, cursor, _calculateDbi);
15 references to ClusteringMetrics
Microsoft.ML.Data (7)
Evaluators\ClusteringEvaluator.cs (2)
65public ClusteringMetrics Evaluate(IDataView data, string score, string label = null, string features = null) 85ClusteringMetrics result;
TrainCatalog.cs (5)
437/// If present, the <see cref="ClusteringMetrics.NormalizedMutualInformation"/> metric will be computed.</param> 439/// If present, the <see cref="ClusteringMetrics.DaviesBouldinIndex"/> metric will be computed.</param> 441public ClusteringMetrics Evaluate(IDataView data, 473public IReadOnlyList<CrossValidationResult<ClusteringMetrics>> CrossValidate( 478return result.Select(x => new CrossValidationResult<ClusteringMetrics>(x.Model,
Microsoft.ML.IntegrationTests (3)
Common.cs (2)
209/// Check that a <see cref="ClusteringMetrics"/> object is valid. 212public static void AssertMetrics(ClusteringMetrics metrics)
Evaluation.cs (1)
132var metrics = mlContext.Clustering.Evaluate(scoredData);
Microsoft.ML.Samples (4)
Dynamic\Trainers\Clustering\KMeans.cs (2)
63var metrics = mlContext.Clustering.Evaluate( 136private static void PrintMetrics(ClusteringMetrics metrics)
Dynamic\Trainers\Clustering\KMeansWithOptions.cs (2)
71var metrics = mlContext.Clustering.Evaluate( 144private static void PrintMetrics(ClusteringMetrics metrics)
Microsoft.ML.Tests (1)
Scenarios\ClusteringTests.cs (1)
84var metrics = mlContext.Clustering.Evaluate(predicted);