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
