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Kernel Methods |
The Kernel type exposes the following members.
Methods| Name | Description | |
|---|---|---|
  | Center(Double, Double) |
Centers the given kernel matrix K.
|
| Center(Double, Double, Double, Double) |
Centers the given kernel matrix K.
|
| Center(Double, Double, Double, Double) |
Centers the given kernel matrix K.
|
| Center(Double, Double, Double, Double) |
Centers the given kernel matrix K.
|
| DistancesT(T, Double, Int32) |
Computes the set of all distances between
all points in a random subset of the data.
|
| DistancesTKernel, TData(TKernel, TData, Int32) |
Computes the set of all distances between
all points in a random subset of the data.
|
| EstimateComplexity(Double) |
Estimates the complexity parameter C, present in many SVM algorithms,
for a given kernel and a given data set by summing every element
on the diagonal of the kernel matrix and using an heuristic based
on it.
|
| EstimateComplexity(Double, Int32) |
Estimates the complexity parameter C, present in many SVM algorithms,
for a given kernel and an unbalanced data set by summing every element
on the diagonal of the kernel matrix and using an heuristic based on it.
|
| EstimateComplexityTKernel, TInput(TKernel, TInput) |
Estimates the complexity parameter C, present in many SVM algorithms,
for a given kernel and a given data set by summing every element
on the diagonal of the kernel matrix and using an heuristic based
on it.
|
| EstimateComplexityTKernel, TInput(TKernel, TInput, Int32) |
Estimates the complexity parameter C, present in many SVM algorithms,
for a given kernel and an unbalanced data set by summing every element
on the diagonal of the kernel matrix and using an heuristic based on it.
|
| ToJaggedTKernel, TInput |
Creates the Gram matrix from the given vectors.
|
| ToJagged2TKernel, TInput |
Creates the Gram matrix containing all dot products in feature
(kernel) space between each vector in x
and the ones in y.
|
| ToMatrixTKernel, TInput |
Creates the Gram matrix from the given vectors.
|
| ToMatrix2TKernel, TInput |
Creates the Gram matrix containing all dot products in feature
(kernel) space between each vector in x
and the ones in y.
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See Also