MulticlassClassificationCatalog- MulticlassClassificationTrainers
Trainers
CrossValidate(IDataView, IEstimator<ITransformer>, Int32, String, String, Int32?)- Evaluate(IDataView, String, String, String, Int32)
CrossValidate<TInShape, TOutShape, TTransformer>(MulticlassClassificationCatalog, DataView<TInShape>, Estimator<TInShape, TOutShape, TTransformer>, Func<TOutShape, Key<UInt32>>, Int32, Func<TInShape, PipelineColumn>, Nullable<Int32>)- Evaluate<T, TKey>(MulticlassClassificationCatalog, DataView<T>, Func<T, Key<UInt32, TKey>>, Func<T, (Vector<Single> score, Key<UInt32, TKey> predictedLabel)>, Int32)
- EvaluateObjectDetection(MulticlassClassificationCatalog, IDataView, Column, Column, Column, Column, Column)
- PermutationFeatureImportance(MulticlassClassificationCatalog, ITransformer, IDataView, String, Boolean, Int32?, Int32)
- PermutationFeatureImportance<TModel>(MulticlassClassificationCatalog, ISingleFeaturePredictionTransformer<TModel>, IDataView, String, Boolean, Int32?, Int32)
net9.0
namespace Microsoft.ML
{
public static class PermutationFeatureImportanceExtensions
{
public static ImmutableArray<MulticlassClassificationMetricsStatistics> PermutationFeatureImportance<TModel>(this MulticlassClassificationCatalog catalog, ISingleFeaturePredictionTransformer<TModel> predictionTransformer, IDataView data, string labelColumnName = "Label", bool useFeatureWeightFilter = false, int? numberOfExamplesToUse = default, int permutationCount = 1)
where TModel, class;
}
}
| .NET | 5.06.07.08.09.0 |
|---|---|
| .NET Core | 2.02.12.23.03.1 |
| .NET Framework | 4.6.14.6.24.74.7.14.7.24.84.8.1 |
| .NET Standard | 2.02.1 |
Information specific to net9.0 | |
| Assembly | Microsoft.ML.Transforms , Version=1.0.0.0, PublicKeyToken=cc7b13ffcd2ddd51 |
| Referencing | Your project needs a package reference to |
| Package | Microsoft.ML (4.0.0) netstandard2.0 |
| Platform Restrictions | This API is supported on all platforms. |
- Built-in API
- Package-provided API