mvpa2.kernels.np.RbfKernel¶
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class
mvpa2.kernels.np.RbfKernel(*args, **kwargs)¶ Radial basis function (aka Gausian, aka ) kernel K(a,b) = exp(-||a-b||**2/sigma)
Attributes
descrDescription 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
descrDescription 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()



