Name | Description | Type | Package | Framework |
CachedKernel | Base class for RBFKernel and PolyKernel that implements a simple LRU. | Class | weka.classifiers.functions.supportVector | Weka |
CheckKernel | Class for examining the capabilities and finding problems with kernels. | Class | weka.classifiers.functions.supportVector | Weka |
NormalizedPolyKernel | The normalized polynomial kernel. | Class | weka.classifiers.functions.supportVector | Weka |
PolyKernel | The polynomial kernel : K(x, y) = | Class | weka.classifiers.functions.supportVector | Weka |
PrecomputedKernelMatrixKernel | This kernel is based on a static kernel matrix that is read from a file. | Class | weka.classifiers.functions.supportVector | Weka |
Puk | The Pearson VII function-based universal kernel. | Class | weka.classifiers.functions.supportVector | Weka |
RBFKernel | The RBF kernel. | Class | weka.classifiers.functions.supportVector | Weka |
RegOptimizer | Base class implementation for learning algorithm of SMOreg Valid options are: | Class | weka.classifiers.functions.supportVector | Weka |
RegSMO | Implementation of SMO for support vector regression A. | Class | weka.classifiers.functions.supportVector | Weka |
RegSMOImproved | Learn SVM for regression using SMO with Shevade, Keerthi, et al. | Class | weka.classifiers.functions.supportVector | Weka |
SMOset | Stores a set of integer of a given size. | Class | weka.classifiers.functions.supportVector | Weka |