mvpa2.kernels.sg.PrecomputedSGKernel

class mvpa2.kernels.sg.PrecomputedSGKernel(matrix=None, **kwargs)

A kernel which is precomputed from a numpy array or a Shogun kernel

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
as_raw_sg()
as_sg()
cleanup()	Wipe out internal representation
compute(*args, **kwargs)	‘Compute’ PrecomputedSGKernel – no actual “computation” is done
computed(*args, **kwargs)	Compute kernel and return self
reset()

Initialize PrecomputedSGKernel

Parameters:

matrix : SGKernel or Kernel or ndarray

Kernel matrix to be used

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
as_raw_sg()
as_sg()
cleanup()	Wipe out internal representation
compute(*args, **kwargs)	‘Compute’ PrecomputedSGKernel – no actual “computation” is done
computed(*args, **kwargs)	Compute kernel and return self
reset()

compute(*args, **kwargs)

‘Compute’ PrecomputedSGKernel – no actual “computation” is done