mvpa2.kernels.np.NumpyKernel

Inheritance diagram of NumpyKernel
class mvpa2.kernels.np.NumpyKernel(*args, **kwargs)

A Kernel object with internal representation as a 2d numpy array

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(ds1[, ds2]) Generic computation of any kernel
computed(\*args, \*\*kwargs) Compute kernel and return self
reset()

Base Kernel class has no parameters

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(ds1[, ds2]) Generic computation of any kernel
computed(\*args, \*\*kwargs) Compute kernel and return self
reset()
as_np()

Converts this kernel to a Numpy-based representation

as_raw_np()

Directly return this kernel as a numpy array.

For Numpy-based kernels - simply returns stored matrix.