ILNumerics Ultimate VS

MachineLearningRidgeRegressionResultT Class

ILNumerics Ultimate VS Documentation
ILNumerics - Technical Application Development
This class stores the result of a ridge regression

[ILNumerics Machine Learning Toolbox]

Inheritance Hierarchy

SystemObject
  ILNumericsResultT
    ILNumerics.ToolboxesMachineLearningRidgeRegressionResultT

Namespace:  ILNumerics.Toolboxes
Assembly:  ILNumerics.Toolboxes.MachineLearning (in ILNumerics.Toolboxes.MachineLearning.dll) Version: 5.5.0.0 (5.5.7503.3146)
Syntax

public class RidgeRegressionResult<T> : Result<T>

Type Parameters

T
Element type (precision) for the result

The MachineLearningRidgeRegressionResultT type exposes the following members.

Constructors

  NameDescription
Public methodMachineLearningRidgeRegressionResultT
Initializes a new instance of the MachineLearningRidgeRegressionResultT class
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Properties

  NameDescription
Public propertyIsDisposed
Flag to indicate if the result is disposed.

[ILNumerics Core Module]

(Inherited from ResultT.)
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Methods

  NameDescription
Public methodApply
Apply the result on new datapoints

[ILNumerics Machine Learning Toolbox]

(Overrides ResultTApply(InArrayT, InCell).)
Public methodDispose
Dispose off the result and free all storages used

[ILNumerics Machine Learning Toolbox]

(Overrides ResultTDispose.)
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Remarks

This class is returned from ridge_regression(InArrayDouble, InArrayDouble, BaseArray, BaseArray) and all its overloads. The class stores all data needed to apply the regression result to new data points. Therefore a function [!:ILNumerics.Toolboxes.MachineLearning.RidgeRegressionResult<T>.Apply(ILNumerics.InArray<T>, ILNumerics.BaseArray[])] is provided.

The class implements the IDisposable interface and should be used inside a 'using' block or manually be disposed after use.

[ILNumerics Machine Learning Toolbox]

See Also

Reference