1 instantiation of ClusteringMetrics
Microsoft.ML.Data (1)
Evaluators\ClusteringEvaluator.cs (1)
90
result = new
ClusteringMetrics
(Host, cursor, _calculateDbi);
15 references to ClusteringMetrics
Microsoft.ML.Data (7)
Evaluators\ClusteringEvaluator.cs (2)
65
public
ClusteringMetrics
Evaluate(IDataView data, string score, string label = null, string features = null)
85
ClusteringMetrics
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>
441
public
ClusteringMetrics
Evaluate(IDataView data,
473
public IReadOnlyList<CrossValidationResult<
ClusteringMetrics
>> CrossValidate(
478
return 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.
212
public static void AssertMetrics(
ClusteringMetrics
metrics)
Evaluation.cs (1)
132
var
metrics = mlContext.Clustering.Evaluate(scoredData);
Microsoft.ML.Samples (4)
Dynamic\Trainers\Clustering\KMeans.cs (2)
63
var
metrics = mlContext.Clustering.Evaluate(
136
private static void PrintMetrics(
ClusteringMetrics
metrics)
Dynamic\Trainers\Clustering\KMeansWithOptions.cs (2)
71
var
metrics = mlContext.Clustering.Evaluate(
144
private static void PrintMetrics(
ClusteringMetrics
metrics)
Microsoft.ML.Tests (1)
Scenarios\ClusteringTests.cs (1)
84
var
metrics = mlContext.Clustering.Evaluate(predicted);