mvpa2.kernels.sg.RbfSGKernel

Inheritance diagram of RbfSGKernel

class mvpa2.kernels.sg.RbfSGKernel(**kwargs)

Radial basis function: K(a,b) = exp(-||a-b||**2/sigma)

Methods

add_conversion(typename, methodfull, methodraw) Adds methods to the Kernel class for new conversions
as_ls(kernel)
as_np() Converts this kernel to a Numpy-based representation
as_raw_ls(kernel)
as_raw_np() Directly return this kernel as a numpy array
as_raw_sg()
as_sg()
cleanup() Wipe out internal representation
compute(ds1[, ds2]) Generic computation of any kernel
computed(*args, **kwargs) Compute kernel and return self
reset()

Initialize instance of RbfSGKernel

Parameters :

sigma :

Width/division parameter for gaussian kernel. (Default: 1)

normalizer_cls : sg.Kernel.CKernelNormalizer

Class to use as a normalizer for the kernel. Will be instantiated upon compute(). Only supported for shogun >= 0.6.5. By default (if left None) assigns IdentityKernelNormalizer to assure no normalization.

normalizer_args : None or list

If necessary, provide a list of arguments for the normalizer.

Methods

add_conversion(typename, methodfull, methodraw) Adds methods to the Kernel class for new conversions
as_ls(kernel)
as_np() Converts this kernel to a Numpy-based representation
as_raw_ls(kernel)
as_raw_np() Directly return this kernel as a numpy array
as_raw_sg()
as_sg()
cleanup() Wipe out internal representation
compute(ds1[, ds2]) Generic computation of any kernel
computed(*args, **kwargs) Compute kernel and return self
reset()

NeuroDebian

NITRC-listed