A basic linear kernel computed via Shogun: K(a,b) = a*b.T
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() | |
as_sg() | |
cleanup() | Wipe out internal representation |
compute(ds1[, ds2]) | Generic computation of any kernel |
computed(*args, **kwargs) | Compute kernel and return self |
reset() |
Parameters: | normalizer_cls : sg.Kernel.CKernelNormalizer
normalizer_args : None or list
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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() | |
as_sg() | |
cleanup() | Wipe out internal representation |
compute(ds1[, ds2]) | Generic computation of any kernel |
computed(*args, **kwargs) | Compute kernel and return self |
reset() |