1 write to Clustering
Microsoft.ML.Data (1)
MLContext.cs (1)
146
Clustering
= new ClusteringCatalog(_env);
12 references to Clustering
Microsoft.ML.IntegrationTests (4)
Evaluation.cs (2)
125
.Append(mlContext.
Clustering
.Trainers.KMeans(new KMeansTrainer.Options { NumberOfThreads = 1 }));
132
var metrics = mlContext.
Clustering
.Evaluate(scoredData);
IntrospectiveTraining.cs (1)
420
.Append(mlContext.
Clustering
.Trainers.KMeans(
ONNX.cs (1)
93
.Append(mlContext.
Clustering
.Trainers.KMeans(
Microsoft.ML.PerformanceTests (1)
KMeansAndLogisticRegressionBench.cs (1)
39
.Append(ml.
Clustering
.Trainers.KMeans("Features"))
Microsoft.ML.Samples (4)
Dynamic\Trainers\Clustering\KMeans.cs (2)
27
var pipeline = mlContext.
Clustering
.Trainers.KMeans(
63
var metrics = mlContext.
Clustering
.Evaluate(
Dynamic\Trainers\Clustering\KMeansWithOptions.cs (2)
36
var pipeline = mlContext.
Clustering
.Trainers.KMeans(options);
71
var metrics = mlContext.
Clustering
.Evaluate(
Microsoft.ML.Tests (3)
OnnxConversionTest.cs (1)
154
Append(mlContext.
Clustering
.Trainers.KMeans(new Trainers.KMeansTrainer.Options
Scenarios\ClusteringTests.cs (2)
66
var pipe = mlContext.
Clustering
.Trainers.KMeans("Features", numberOfClusters: k);
84
var metrics = mlContext.
Clustering
.Evaluate(predicted);