SVM<'X, 'Y>
Namespace: Semagle.MachineLearning.SVM
SVM model definition includes kernel function, array of support vectors with respective weights and bias value.
Union Cases
| Union Case | Description |
MultiClass(...)
Signature: Kernel<'X> * ('Y * 'Y * 'X [] * float [] * float) []
|
SVM model for multi-class classification |
OneClass(...)
Signature: Kernel<'X> * 'X [] * float [] * float
|
SVM model for one class classification |
Regression(...)
Signature: Kernel<'X> * 'X [] * float [] * float
|
SVM model for regression |
TwoClass(...)
Signature: Kernel<'X> * 'X [] * float [] * float
|
SVM model for two class classification |
