RegressionCatalog Class

Reference

Definition

Namespace:: Microsoft.ML

Assembly:: Microsoft.ML.Data.dll

Package:: Microsoft.ML v3.0.1

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 v2.0.0

Important

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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: 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

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