Method rebag

modAL/models/base.py:333–342

Refits every learner with a dataset bootstrapped from its training instances. Contrary to .bag(), it bootstraps the training data for each learner based on its own examples. Todo: Where is .bag()? Args: **fit_kwargs: Keyword arguments to be pa

(self, **fit_kwargs)

            return query_result, retrieve_rows(X_pool, query_result)

    def rebag(self, **fit_kwargs) -> None:
        """
        Refits every learner with a dataset bootstrapped from its training instances. Contrary to .bag(), it bootstraps
        the training data for each learner based on its own examples.
        Todo:
            Where is .bag()?
        Args:
            **fit_kwargs: Keyword arguments to be passed to the fit method of the predictor.
        """
        self._fit_to_known(bootstrap=True, **fit_kwargs)

    def teach(self, X: modALinput, y: modALinput, bootstrap: bool = False, only_new: bool = False, **fit_kwargs) -> None:
        """