pymc.model.core.Model.check_start_vals

Model.check_start_vals(start, **kwargs)

Check that the logp is defined and finite at the starting point.

Parameters:

startdict, or array of dict

Starting point in parameter space (or partial point) Defaults to trace.point(-1)) if there is a trace provided and model.initial_point if not (defaults to empty dict). Initialization methods for NUTS (see init keyword) can overwrite the default.

Other keyword arguments

Any other keyword argument is sent to point_logps().

Returns:

None

Raises:

KeyError if the parameters provided by start do not agree with the

parameters contained within the model.

pymc.exceptions.SamplingError if the evaluation of the parameters

in start leads to an invalid (i.e. non-finite) state