pymc.gp.TP.conditional#
- TP.conditional(name, Xnew, jitter=1e-06, **kwargs)[source]#
Returns the conditional distribution evaluated over new input locations Xnew.
Given a set of function values f that the TP prior was over, the conditional distribution over a set of new points, f_* is
- Parameters
- name: string
Name of the random variable
- Xnew: array-like
Function input values.
- jitter: scalar
A small correction added to the diagonal of positive semi-definite covariance matrices to ensure numerical stability.
- **kwargs
Extra keyword arguments that are passed to MvNormal distribution constructor.