mvpa2.kernels.PrecomputedKernel

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

Precomputed matrix

Methods

add_conversion(typename, methodfull, methodraw)	Adds methods to the Kernel class for new conversions :Parameters: typename : string Describes kernel type methodfull : function Method which converts to the new kernel object class methodraw : function Method which returns a raw kernel ..
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.
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

Methods

add_conversion(typename, methodfull, methodraw)	Adds methods to the Kernel class for new conversions :Parameters: typename : string Describes kernel type methodfull : function Method which converts to the new kernel object class methodraw : function Method which returns a raw kernel ..
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.
cleanup()	Wipe out internal representation
compute(*args, **kwargs)
computed(*args, **kwargs)	Compute kernel and return self
reset()

compute(*args, **kwargs)