pymc.gp.HSGP.prior#
- HSGP.prior(name, X, hsgp_coeffs_dims=None, gp_dims=None, *args, **kwargs)[source]#
Returns the (approximate) GP prior distribution evaluated over the input locations X. For usage examples, refer to pm.gp.Latent.
- Parameters:
- name: str
Name of the random variable
- X: array-like
Function input values.
- hsgp_coeffs_dims: str, default None
Dimension name for the HSGP basis vectors.
- gp_dims: str, default None
Dimension name for the GP random variable.