pymc.gp.TP.prior

TP.prior(name, X, reparameterize=True, jitter=1e-06, **kwargs)

Returns the TP prior distribution evaluated over the input locations X.

This is the prior probability over the space of functions described by its mean and covariance function.

Parameters

name: string

Name of the random variable

X: array-like

Function input values.

reparameterize: bool

Reparameterize the distribution by rotating the random variable by the Cholesky factor of the covariance matrix.

**kwargs

Extra keyword arguments that are passed to distribution constructor.