| Interface | Description |
|---|---|
| KernelMatrix.DBIDMap |
Map a DBID to its offset
TODO: move to shared code.
|
| Class | Description |
|---|---|
| KernelMatrix |
Provides a class for storing the kernel matrix and several extraction methods
for convenience.
|
| KernelMatrix.RangeMap |
Map a DBID to an integer offset, DBIDRange version.
|
| KernelMatrix.SortedArrayMap |
Map a DBID to an integer offset, Version to support arbitrary DBIDs.
|
| LaplaceKernelFunction |
Provides the laplace / exponential radial basis function kernel.
|
| LaplaceKernelFunction.Parameterizer |
Parameterization class.
|
| LinearKernelFunction |
Provides a linear Kernel function that computes a similarity between the two
feature vectors V1 and V2 defined by V1^T*V2.
|
| LinearKernelFunction.Parameterizer |
Parameterization class.
|
| PolynomialKernelFunction |
Provides a polynomial Kernel function that computes a similarity between the
two feature vectors V1 and V2 defined by (V1^T*V2)^degree.
|
| PolynomialKernelFunction.Parameterizer |
Parameterization class.
|
| RadialBasisFunctionKernelFunction |
Provides the Gaussian radial basis function kernel (RBF Kernel).
|
| RadialBasisFunctionKernelFunction.Parameterizer |
Parameterization class.
|
| RationalQuadraticKernelFunction |
Provides the rational quadratic kernel, a less computational approximation of
the Gaussian RBF kerne (
RadialBasisFunctionKernelFunction). |
| RationalQuadraticKernelFunction.Parameterizer |
Parameterization class.
|
| SigmoidKernelFunction |
Sigmoid kernel function (aka: hyperbolic tangent kernel, multilayer
perceptron MLP kernel).
|
| SigmoidKernelFunction.Parameterizer |
Parameterization class.
|
Kernel functions.