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RegressionCatalog 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 v5.0.0-preview.1.25125.4
Source:
TrainCatalog.cs
Source:
TrainCatalog.cs
Source:
TrainCatalog.cs

Class used by MLContext to create instances of regression components, such as trainers and evaluators.

C# 
public sealed class RegressionCatalog : Microsoft.ML.TrainCatalogBase
Inheritance
Object
TrainCatalogBase
RegressionCatalog

Properties

Trainers

The list of trainers for performing regression.

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)

Evaluates scored regression data.

Extension Methods

PermutationFeatureImportance(RegressionCatalog, ITransformer, IDataView, String, Boolean, Nullable<Int32>, Int32)

Permutation Feature Importance (PFI) for Regression.
PermutationFeatureImportance<TModel>(RegressionCatalog, ISingleFeaturePredictionTransformer<TModel>, IDataView, String, Boolean, Nullable<Int32>, Int32)

Permutation Feature Importance (PFI) for Regression.

Applies to

Προϊόν Εκδόσεις
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, 4.0.0, Preview