mvpa2.kernels.sg.PolySGKernel¶
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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
descrDescription 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
descrDescription 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()
