The Matern kernel class for the case ni=5/2.
This kernel is just Matern_3_2Kernel(numerator=5.0).
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 |
gradient(data1, data2) | Compute gradient of the kernel matrix. |
reset() | |
set_hyperparameters(hyperparameter) | Set hyperaparmeters from a vector. |
Initialize a Squared Exponential kernel instance.
Parameters : | length_scale : float or numpy.ndarray
enable_ca : None or list of str
disable_ca : None or list of str
sigma_f : float, optional
numerator : float, optional
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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(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 |
gradient(data1, data2) | Compute gradient of the kernel matrix. |
reset() | |
set_hyperparameters(hyperparameter) | Set hyperaparmeters from a vector. |