pymc.gp.HSGPPeriodic.prior#

HSGPPeriodic.prior(name, X, dims=None)[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.

dims: None

Dimension name for the GP random variable.