HierarchicalLaunchITS.predict#

HierarchicalLaunchITS.predict(X, coords=None, out_of_sample=False, aux=None, **kwargs)[source]#

Posterior predictive using the supplied aux bundle.

Parameters:

  • X (DataArray) – Standardized covariate design; see the class docstring.

  • coords (dict[str, Any] | None) – Coordinate names for named dimensions. Forwarded to the base implementation.

  • out_of_sample (bool | None) – Marker for out-of-sample prediction. Forwarded to the base implementation, which does not act on it.

  • aux (dict[str, Any] | None) – Auxiliary design inputs for the unit(s)/effect type being predicted; see the class docstring.

  • **kwargs (Any) – Reserved for subclass extensions; not consumed by this implementation.

Return type:

InferenceData