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, optionalPoint to be evaluated. If None, then model.initial_point is used. round_valsint, default 2Number of decimals to round log-probabilities. Returns: log_probability_of_pointdictLog probability of point.