pymc.model.core.Model.point_logps#

Model.point_logps(point=None, round_vals=2)[source]#

Computes the log probability of point for all random variables in the model.

Parameters:

pointPoint, optional: Point to be evaluated. If None, then model.initial_point is used.
round_valsint, default 2: Number of decimals to round log-probabilities.

Returns:

log_probability_of_pointdict: Log probability of point.