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RegressionCatalog Class

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

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 regression components, such as trainers and evaluators.

public sealed class RegressionCatalog : Microsoft.ML.TrainCatalogBase
type RegressionCatalog = class
 inherit TrainCatalogBase
Public NotInheritable Class RegressionCatalog
Inherits TrainCatalogBase
Inheritance
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