PyMCInterface#
- class liesel.experimental.pymc.PyMCInterface(model, additional_vars=())[source]#
Bases:
objectAn implementation of the Goose
ModelInterfaceto be used with a PyMC model.The initial position can be extracted with
get_initial_state(). The model state is represented as aPosition.By default, only non-observed random variables are available via
extract_position(). This includes transformed but not untransformed variables. Also,Deterministic’s are not available. To make them trackable for the GooseEngine, these variables must be mentioned in the constructor.- Parameters:
model (
Model) – A PyMC model.additional_vars (
Sequence[str], default:()) – Variables that should be available viaextract_position()but are not by default.
Methods
extract_position(position_keys, model_state)Extracts a sub-position specified by
position_keysfrommodel_state.Returns the model's initial state.
log_prob(model_state)Computes the unnormalized log-probability given the model state.
update_state(position, model_state)Updates the model state with the position returning the new model state.