pymc.model.core.Model.point_logps

Model.point_logps(point=None, round_vals=2, **kwargs)

Compute 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.

Other keyword arguments

Any other keyword argument are sent provided to compile_fn()

Returns:

log_probability_of_pointdict

Log probability of point.