pymc.gp.HSGPPeriodic.prior#
- HSGPPeriodic.prior(name, X, dims=None, hsgp_coeffs_dims=None)[source]#
Return 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.
- dims: None
Dimension name for the GP random variable.
- hsgp_coeffs_dims: str | None = None
Dimension name for the HSGPPeriodic basis vectors.