BaseDelayedSaturatedMMM.predict_posterior#
- BaseDelayedSaturatedMMM.predict_posterior(X_pred, extend_idata=True, combined=True, **kwargs)#
Generate posterior predictive samples on unseen data.
- Parameters:
X_pred (array-like if sklearn is available, otherwise array, shape (n_pred, n_features)) – The input data used for prediction.
extend_idata (Boolean determining whether the predictions should be added to inference data object.) – Defaults to True.
combined (Combine chain and draw dims into sample. Won't work if a dim named sample already exists.) – Defaults to True.
**kwargs (Additional arguments to pass to sample_posterior_predictive method)
- Returns:
y_pred – Posterior predictive samples for each input X_pred
- Return type:
DataArray, shape (n_pred, chains * draws) if combined is True, otherwise (chains, draws, n_pred)