Class | Description |
---|---|
CachedKernel |
Base class for RBFKernel and PolyKernel that implements a simple LRU.
|
CheckKernel |
Class for examining the capabilities and finding problems with
kernels.
|
Kernel |
Abstract kernel.
|
KernelEvaluation |
Class for evaluating Kernels.
|
NormalizedPolyKernel |
The normalized polynomial kernel.
K(x,y) = <x,y>/sqrt(<x,x><y,y>) where <x,y> = PolyKernel(x,y) Valid options are: |
PolyKernel |
The polynomial kernel : K(x, y) = <x, y>^p or K(x, y) = (<x, y>+1)^p
Valid options are:
|
PrecomputedKernelMatrixKernel |
This kernel is based on a static kernel matrix that is read from a file.
|
Puk |
The Pearson VII function-based universal kernel.
For more information see: B. |
RBFKernel |
The RBF kernel.
|
RegOptimizer |
Base class implementation for learning algorithm of SMOreg
Valid options are:
|
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.
|
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].
For more information, see Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, Christopher J. |