mvpa2.kernels.base.PrecomputedKernel

class mvpa2.kernels.base.PrecomputedKernel(matrix=None, *args, **kwargs)

Precomputed matrix

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(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()

Parameters:

matrix : Numpy array or convertable kernel, or other object type

enable_ca : None or list of str

Names of the conditional attributes which should be enabled in addition to the default ones

disable_ca : None or list of str

Names of the conditional attributes which should be disabled

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(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()

compute(*args, **kwargs)