1 instantiation of ClusteringPredictionTransformer
Microsoft.ML.Data (1)
Scorers\PredictionTransformer.cs (1)
870=> new ClusteringPredictionTransformer<IPredictorProducing<VBuffer<float>>>(env, ctx);
13 references to ClusteringPredictionTransformer
Microsoft.ML.Data (5)
Scorers\PredictionTransformer.cs (5)
29[assembly: LoadableClass(typeof(ClusteringPredictionTransformer<IPredictorProducing<VBuffer<float>>>), typeof(ClusteringPredictionTransformer), null, typeof(SignatureLoadModel), 671: base(Contracts.CheckRef(env, nameof(env)).Register(nameof(ClusteringPredictionTransformer<TModel>)), model, inputSchema, featureColumn) 681: base(Contracts.CheckRef(env, nameof(env)).Register(nameof(ClusteringPredictionTransformer<TModel>)), ctx) 710loaderAssemblyName: typeof(ClusteringPredictionTransformer<>).Assembly.FullName); 869public static ClusteringPredictionTransformer<IPredictorProducing<VBuffer<float>>> Create(IHostEnvironment env, ModelLoadContext ctx)
Microsoft.ML.IntegrationTests (3)
IntrospectiveTraining.cs (3)
403var kMeansModel = (modelComponents[1] as TransformerChain<ClusteringPredictionTransformer<KMeansModelParameters>>).LastTransformer; 417private IEstimator<TransformerChain<ClusteringPredictionTransformer<KMeansModelParameters>>> StepOne(MLContext mlContext)
Microsoft.ML.KMeansClustering (2)
KMeansPlusPlusTrainer.cs (2)
79public class KMeansTrainer : TrainerEstimatorBase<ClusteringPredictionTransformer<KMeansModelParameters>, KMeansModelParameters> 321private protected override ClusteringPredictionTransformer<KMeansModelParameters> MakeTransformer(KMeansModelParameters model, DataViewSchema trainSchema)
Microsoft.ML.Samples (2)
Dynamic\Trainers\Clustering\KMeans.cs (1)
31var model = pipeline.Fit(trainingData);
Dynamic\Trainers\Clustering\KMeansWithOptions.cs (1)
39var model = pipeline.Fit(trainingData);
Microsoft.ML.Tests (1)
Scenarios\ClusteringTests.cs (1)
69var trainedModel = pipe.Fit(trainData);