mvpa2.kernels.np.ConstantKernel

Inheritance diagram of ConstantKernel

class mvpa2.kernels.np.ConstantKernel(*args, **kwargs)

The constant kernel class.

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.
cleanup() Wipe out internal representation
compute(ds1[, ds2]) Generic computation of any kernel
compute_lml_gradient(alphaalphaT_Kinv, data)
compute_lml_gradient_logscale(...)
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
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
compute_lml_gradient(alphaalphaT_Kinv, data)
compute_lml_gradient_logscale(...)
computed(*args, **kwargs) Compute kernel and return self
reset()
compute_lml_gradient(alphaalphaT_Kinv, data)
compute_lml_gradient_logscale(alphaalphaT_Kinv, data)

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NITRC-listed