load_models#
- protopipe.pipeline.load_models(path, cam_id_list)[source]#
Load the pickled dictionary of model from disk and fill the model dictionary.
- Parameters
- pathstring
The path where the pre-trained, pickled models are stored. path is assumed to contain a {cam_id} keyword to be replaced by each camera identifier in cam_id_list (or at least a naked {}).
- cam_id_listlist
List of camera identifiers like telescope ID or camera ID and the assumed distinguishing feature in the filenames of the various pickled regressors.
- Returns
- model_dict: dict
Dictionary with cam_id as keys and pickled models as values.