watex.utils.mlutils.fetchModel#

watex.utils.mlutils.fetchModel(file, *, default=True, name=None, storage='joblib')[source]#

Fetch your data/model saved using Python pickle or joblib module.

Parameters:

  • file (str or Path-Like object) – dumped model file name saved using joblib or Python pickle module.

  • path (path-Like object ,) – Path to model dumped file =`modelfile`

  • default (bool,) – Model parameters by default are saved into a dictionary. When default is True, returns a tuple of pair (the model and its best parameters). If False return all values saved from ~.MultipleGridSearch

  • storage (str, default='joblib') – kind of module use to pickling the data

  • name (str) – Is the name of model to retreived from dumped file. If name is given get only the model and its best parameters.

Returns:

- `data` – data composed of models, classes and params for ‘best_model’, ‘best_params_’ and ‘best_scores’ if default is True, and model dumped and all parameters otherwise.

Return type:

Tuple (Dict, )

Example

>>> from watex.bases import fetch_model
>>> my_model, = fetchModel ('SVC__LinearSVC__LogisticRegression.pkl',
                            default =False,  modname='SVC')
>>> my_model