| Class | Description |
|---|---|
| CachedKernel |
Base class for RBFKernel and PolyKernel that implements a simple LRU.
|
| Kernel |
Abstract kernel.
|
| KernelEvaluation |
Class for evaluating Kernels.
|
| NormalizedPolyKernel |
The normalized polynomial kernel.
|
| PDRFKernel |
Positive-Definite Reference Function Kernel
To be used with PDFS algorithm
|
| PolyKernel |
The polynomial kernel : K(x, y) = <x, y>^p or K(x, y) = (<x, y>+1)^p
|
| Puk |
The Pearson VII function-based universal kernel.
|
| RBFKernel |
The RBF kernel.
|
| RegOptimizer |
Base class implementation for learning algorithm of SVMreg
|
| RegSMO |
Implementation of SMO for support vector regression as described in :
A.J. |
| RegSMOImproved |
Learn SVM for regression using SMO with Shevade, Keerthi, et al. adaption of the stopping criterion.
|
| SMOset |
Stores a set of integer of a given size.
|
| StringKernel |
Implementation of the subsequence kernel (SSK) as described in [1] and of the subsequence kernel with lambda pruning (SSK-LP) as described in [2].
|