LinearRegressionModelParameters Class
Definition
Important
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Model parameters for linear regression.
public sealed class LinearRegressionModelParameters : Microsoft.ML.Trainers.RegressionModelParameters
type LinearRegressionModelParameters = class
inherit RegressionModelParameters
Public NotInheritable Class LinearRegressionModelParameters
Inherits RegressionModelParameters
- Inheritance
-
LinearRegressionModelParameters
Properties
Bias |
The predictor's bias term. (Inherited from LinearModelParameters) |
Weights |
The predictor's feature weight coefficients. (Inherited from LinearModelParameters) |
Explicit Interface Implementations
ICalculateFeatureContribution.FeatureContributionCalculator |
Used to determine the contribution of each feature to the score of an example by FeatureContributionCalculatingTransformer. For linear models, the contribution of a given feature is equal to the product of feature value times the corresponding weight. (Inherited from LinearModelParameters) |
ICanSaveModel.Save(ModelSaveContext) | (Inherited from ModelParametersBase<TOutput>) |
Applies to
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