mvpa2.kernels.sg.CustomSGKernel¶
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class
mvpa2.kernels.sg.CustomSGKernel(kernel_cls, kernel_params=None, **kwargs)¶ Class which can wrap any Shogun kernel and it’s kernel parameters
Attributes
descrDescription of the object if any Methods
add_conversion(typename, methodfull, methodraw)Adds methods to the Kernel class for new conversions as_ls()as_np()Converts this kernel to a Numpy-based representation as_raw_ls()as_raw_np()Directly return this kernel as a numpy array as_raw_sg()Converts directly to a Shogun kernel as_sg()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()Initialize CustomSGKernel.
Parameters: kernel_cls : Shogun.Kernel
Class of a Kernel from Shogun
kernel_params : list
Each item in this list should be a tuple of (kernelparamname, value), and the order is the explicit order required by the Shogun constructor
Attributes
descrDescription of the object if any Methods
add_conversion(typename, methodfull, methodraw)Adds methods to the Kernel class for new conversions as_ls()as_np()Converts this kernel to a Numpy-based representation as_raw_ls()as_raw_np()Directly return this kernel as a numpy array as_raw_sg()Converts directly to a Shogun kernel as_sg()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()