The Squared Exponential kernel class.
Note that it can handle a length scale for each dimension for Automtic Relevance Determination.
Initialize a Squared Exponential kernel instance.
Parameters : | length_scale : float or numpy.ndarray, optional
sigma_f : float, optional
enable_ca : None or list of str
disable_ca : None or list of str
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Compute grandient of the kernel and return the portion of log marginal likelihood gradient due to the kernel. Shorter formula. Allows vector of lengthscales (ARD).
Compute grandient of the kernel and return the portion of log marginal likelihood gradient due to the kernel. Hyperparameters are in log scale which is sometimes more stable. Shorter formula. Allows vector of lengthscales (ARD).
Set hyperaparmeters from a vector.
Used by model selection.