mvpa2.kernels.libsvm.SigmoidLSKernel

Inheritance diagram of SigmoidLSKernel
class mvpa2.kernels.libsvm.SigmoidLSKernel(**kwargs)

Sigmoid kernel: K(a,b) = tanh(gamma*a*b.T + coef0)

Attributes

descr Description of the object if any

Methods

add_conversion(typename, methodfull, methodraw) Adds methods to the Kernel class for new conversions
as_ls()
as_np() Converts this kernel to a Numpy-based representation
as_raw_ls()
as_raw_np()
as_raw_sg(kernel) Converts directly to a Shogun kernel
as_sg(kernel) Converts this kernel to a Shogun-based representation
cleanup() Wipe out internal representation
compute(\*args, \*\*kwargs)
computed(\*args, \*\*kwargs) Compute kernel and return self
reset()

Initialize instance of SigmoidLSKernel

Parameters:

gamma

Gamma multiplying parameter for SigmoidKernel. [Default: 1]

coef0

Offset inside tanh. [Default: 1]

Attributes

descr Description of the object if any

Methods

add_conversion(typename, methodfull, methodraw) Adds methods to the Kernel class for new conversions
as_ls()
as_np() Converts this kernel to a Numpy-based representation
as_raw_ls()
as_raw_np()
as_raw_sg(kernel) Converts directly to a Shogun kernel
as_sg(kernel) Converts this kernel to a Shogun-based representation
cleanup() Wipe out internal representation
compute(\*args, \*\*kwargs)
computed(\*args, \*\*kwargs) Compute kernel and return self
reset()