mvpa2.kernels.base.NumpyKernel

Inheritance diagram of NumpyKernel

class mvpa2.kernels.base.NumpyKernel(*args, **kwargs)

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

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(ds1[, ds2]) Generic computation of any kernel Assumptions: - ds1, ds2 are either datasets or arrays, - presumably 2D (not checked neither enforced here - _compute takes ndarrays.
computed(*args, **kwargs) Compute kernel and return self
reset()

Base Kernel class has no parameters

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(ds1[, ds2]) Generic computation of any kernel Assumptions: - ds1, ds2 are either datasets or arrays, - presumably 2D (not checked neither enforced here - _compute takes ndarrays.
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.

NeuroDebian

NITRC-listed