NestedLogit.sample_posterior_predictive#
- NestedLogit.sample_posterior_predictive(choice_df=None, extend_idata=True, **kwargs)[source]#
Sample from posterior predictive distribution.
- Parameters:
- choice_df
pd.DataFrame, optional New choice data for prediction. If None, uses training data.
- extend_idatabool, optional
Whether to add to self.idata
- **kwargs
Additional arguments for pm.sample_posterior_predictive
- choice_df
- Returns:
az.InferenceDataPosterior predictive samples