mvpa2.kernels.sg.PolySGKernel

Inheritance diagram of PolySGKernel
class mvpa2.kernels.sg.PolySGKernel(**kwargs)

Polynomial kernel: K(a,b) = (a*b.T + c)**degree c is 1 if and only if ‘inhomogenous’ is True

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(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 PolySGKernel

Parameters:

degree : int, optional

Polynomial order of the kernel. Constraints: value must be convertible to type ‘int’. [Default: 2]

inhomogenous : bool, optional

Whether +1 is added within the expression. Constraints: value must be convertible to type bool. [Default: True]

use_normalization : bool, optional

Optional normalization. Constraints: value must be convertible to type bool. [Default: False]

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.

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(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()