ILNumerics - Technical Application Development
SystemObject
ILNumericsResultT
ILNumerics.ToolboxesMachineLearningRidgeRegressionResultT
Assembly: ILNumerics.Toolboxes.MachineLearning (in ILNumerics.Toolboxes.MachineLearning.dll) Version: 5.5.0.0 (5.5.7503.3146)
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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.
This class stores the result of a ridge regression
[ILNumerics Machine Learning Toolbox]
Inheritance Hierarchy
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
Type Parameters
- T
- Element type (precision) for the result
The MachineLearningRidgeRegressionResultT type exposes the following members.
Constructors
Name | Description | |
---|---|---|
MachineLearningRidgeRegressionResultT | Initializes a new instance of the MachineLearningRidgeRegressionResultT class |
Properties
Name | Description | |
---|---|---|
IsDisposed |
Flag to indicate if the result is disposed.
(Inherited from ResultT.)[ILNumerics Core Module] |
Methods
Name | Description | |
---|---|---|
Apply |
Apply the result on new datapoints
(Overrides ResultTApply(InArrayT, InCell).)[ILNumerics Machine Learning Toolbox] | |
Dispose |
Dispose off the result and free all storages used
(Overrides ResultTDispose.)[ILNumerics Machine Learning Toolbox] |
Remarks
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