mvpa2.kernels.np.Matern_5_2Kernel

class mvpa2.kernels.np.Matern_5_2Kernel(**kwargs)

The Matern kernel class for the case ni=5/2.

This kernel is just Matern_3_2Kernel(numerator=5.0).

Methods

gradient(data1, data2)	Compute gradient of the kernel matrix.
set_hyperparameters(hyperparameter)	Set hyperaparmeters from a vector.

Initialize a Squared Exponential kernel instance.

Parameters:

length_scale : float or numpy.ndarray

the characteristic length-scale (or length-scales) of the phenomenon under investigation. (Defaults to 1.0)

enable_ca : None or list of str

Names of the conditional attributes which should be enabled in addition to the default ones

disable_ca : None or list of str

Names of the conditional attributes which should be disabled

sigma_f : float, optional

Signal standard deviation. (Defaults to 1.0)

numerator : float, optional

the numerator of parameter ni of Matern covariance functions. Currently only numerator=3.0 and numerator=5.0 are implemented. (Defaults to 3.0)

Methods

gradient(data1, data2)	Compute gradient of the kernel matrix.
set_hyperparameters(hyperparameter)	Set hyperaparmeters from a vector.