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)
netcoreapp2.2
namespace Microsoft.ML.TorchSharp
{
public static class TorchSharpCatalog
{
public static ObjectDetectionMetrics EvaluateObjectDetection(this MulticlassClassificationCatalog catalog, IDataView data, Column labelCol, Column actualBoundingBoxColumn, Column predictedLabelCol, Column predictedBoundingBoxColumn, Column scoreCol);
}
}
nuget.org | 0.0 %
Reference this API |
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.NET | 5.06.07.08.09.010.0 |
.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 netcoreapp2.2 | |
Assembly | Microsoft.ML.TorchSharp , Version=1.0.0.0, PublicKeyToken=cc7b13ffcd2ddd51 |
Referencing | Your project needs a package reference to |
Package | Microsoft.ML.TorchSharp (0.22.2) netstandard2.0 |
Platform Restrictions | This framework does not have platform annotations. |
- Built-in API
- Package-provided API