Method _fit_to_known

modAL/models/base.py:248–257

Fits all learners to the training data and labels provided to it so far. Args: bootstrap: If True, each estimator is trained on a bootstrapped dataset. Useful when using bagging to build the ensemble. **fit_kwargs: Keyword arguments to be pass

(self, bootstrap: bool = False, **fit_kwargs)

            learner._add_training_data(X, y)

    def _fit_to_known(self, bootstrap: bool = False, **fit_kwargs) -> None:
        """
        Fits all learners to the training data and labels provided to it so far.
        Args:
            bootstrap: If True, each estimator is trained on a bootstrapped dataset. Useful when
                using bagging to build the ensemble.
            **fit_kwargs: Keyword arguments to be passed to the fit method of the predictor.
        """
        for learner in self.learner_list:
            learner._fit_to_known(bootstrap=bootstrap, **fit_kwargs)

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