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OlsTrainer.Options Class

  • Reference

Definition

Namespace:
Microsoft.ML.Trainers
Assembly:
Microsoft.ML.Mkl.Components.dll
Package:
Microsoft.ML.Mkl.Components v4.0.1
Package:
Microsoft.ML.Mkl.Components v1.0.0
Package:
Microsoft.ML.Mkl.Components v1.1.0
Package:
Microsoft.ML.Mkl.Components v1.2.0
Package:
Microsoft.ML.Mkl.Components v1.3.1
Package:
Microsoft.ML.Mkl.Components v1.4.0
Package:
Microsoft.ML.Mkl.Components v1.5.5
Package:
Microsoft.ML.Mkl.Components v1.6.0
Package:
Microsoft.ML.Mkl.Components v1.7.1
Package:
Microsoft.ML.Mkl.Components v2.0.1
Package:
Microsoft.ML.Mkl.Components v3.0.1
Package:
Microsoft.ML.Mkl.Components v4.0.0-preview.24522.7
Source:
OlsLinearRegression.cs
Source:
OlsLinearRegression.cs
Source:
OlsLinearRegression.cs
Source:
OlsLinearRegression.cs

Options for the OlsTrainer as used in Ols(Options)

C# 
public sealed class OlsTrainer.Options : Microsoft.ML.Trainers.TrainerInputBaseWithWeight
Inheritance
Object
TrainerInputBase
TrainerInputBaseWithLabel
TrainerInputBaseWithWeight
OlsTrainer.Options

Constructors

OlsTrainer.Options()

Fields

BatchSize

Number of data points per batch, when loading data.
CalculateStatistics

Whether to calculate per parameter (e.g., the coefficient of the i-th input feature) significance statistics.
ExampleWeightColumnName

Column to use for example weight.

(Inherited from TrainerInputBaseWithWeight)
FeatureColumnName

Column to use for features.

(Inherited from TrainerInputBase)
L2Regularization

L2 regularization weight. Adding L2 regularization turns this algorithm into a form of ridge regression, rather than, strictly speaking, ordinary least squares.
LabelColumnName

Column to use for labels.

(Inherited from TrainerInputBaseWithLabel)

Applies to

Product Versions
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