MMM.sample_posterior_predictive

MMM.sample_posterior_predictive(X_pred, extend_idata=True, combined=True, **kwargs)

Sample from the model’s posterior predictive distribution.

Parameters:

• X_pred (array, shape (n_pred, n_features)) – The input data used for prediction using prior distribution..

• 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 pymc.sample_posterior_predictive)

Returns:

posterior_predictive_samples – Posterior predictive samples for each input X_pred

Return type:

DataArray, shape (n_pred, samples)