MulticlassClassificationCatalog Class

Reference

Definition

Namespace:: Microsoft.ML

Assembly:: Microsoft.ML.Data.dll

Package:: Microsoft.ML v4.0.1

Package:: Microsoft.ML v1.0.0

Package:: Microsoft.ML v1.1.0

Package:: Microsoft.ML v1.2.0

Package:: Microsoft.ML v1.3.1

Package:: Microsoft.ML v1.4.0

Package:: Microsoft.ML v1.5.5

Package:: Microsoft.ML v1.6.0

Package:: Microsoft.ML v1.7.0

Package:: Microsoft.ML v2.0.1

Package:: Microsoft.ML v3.0.1

Package:: Microsoft.ML v4.0.0-preview.24522.7

Source:: TrainCatalog.cs

Source:: TrainCatalog.cs

Source:: TrainCatalog.cs

Important

Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.

Class used by MLContext to create instances of multiclass classification components, such as trainers.

public sealed class MulticlassClassificationCatalog : Microsoft.ML.TrainCatalogBase

type MulticlassClassificationCatalog = class
    inherit TrainCatalogBase

Public NotInheritable Class MulticlassClassificationCatalog
Inherits TrainCatalogBase

Inheritance: Object

TrainCatalogBase
MulticlassClassificationCatalog

Properties

Trainers

The list of trainers for performing multiclass classification.

Methods

CrossValidate(IDataView, IEstimator<ITransformer>, Int32, String, String, Nullable<Int32>)	Run cross-validation over `numberOfFolds` folds of `data`, by fitting `estimator`, and respecting `samplingKeyColumnName` if provided. Then evaluate each sub-model against `labelColumnName` and return metrics.
Evaluate(IDataView, String, String, String, Int32)	Evaluates scored multiclass classification data.

Extension Methods

PermutationFeatureImportance(MulticlassClassificationCatalog, ITransformer, IDataView, String, Boolean, Nullable<Int32>, Int32)	Permutation Feature Importance (PFI) for MulticlassClassification.
PermutationFeatureImportance<TModel>(MulticlassClassificationCatalog, ISingleFeaturePredictionTransformer<TModel>, IDataView, String, Boolean, Nullable<Int32>, Int32)	Permutation Feature Importance (PFI) for MulticlassClassification.
EvaluateObjectDetection(MulticlassClassificationCatalog, IDataView, DataViewSchema+Column, DataViewSchema+Column, DataViewSchema+Column, DataViewSchema+Column, DataViewSchema+Column)	Evaluates scored object detection data.

Applies to

Produkt	Verzie
ML.NET	1.0.0, 1.1.0, 1.2.0, 1.3.1, 1.4.0, 1.5.0, 1.6.0, 1.7.0, 2.0.0, 3.0.0, Preview, 4.0.0

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