nuget
Class containing the routines to train SVM models.
Training
01 Syntax
Microsoft.VisualBasic.MachineLearning.SVM.Training
02 Methods
| Name | Overloads | Summary |
|---|---|---|
| SetRandomSeed | 1 | Set the random seed value which is used by the training procedure. |
| PerformCrossValidation | 1 | Performs cross validation. |
| Train | 1 | Trains a model using the provided training data and parameters. |
03 Members
SetRandomSeed(
Int32)Set the random seed value which is used by the training procedure.
Parameters
| Name | Type | Description |
|---|---|---|
seed | Int32 | The random seed value. |
Performs cross validation.
Parameters
| Name | Type | Description |
|---|---|---|
problem | Problem | The training data |
parameters | Parameter | The parameters to test |
nrfold | Int32 | The number of cross validations to use |
Returns
The cross validation score
Trains a model using the provided training data and parameters.
Parameters
Returns
A trained SVM Model