Method predict_proba

modAL/models/base.py:142–153

Class probabilities if the predictor is a classifier. Interface with the predict_proba method of the classifier. Args: X: The samples for which the class probabilities are to be predicted. **predict_proba_kwargs: Keyword arguments to be passed to the predict

(self, X: modALinput, **predict_proba_kwargs)

        return self.estimator.predict(X, **predict_kwargs)

    def predict_proba(self, X: modALinput, **predict_proba_kwargs) -> Any:
        """
        Class probabilities if the predictor is a classifier. Interface with the predict_proba method of the classifier.

        Args:
            X: The samples for which the class probabilities are to be predicted.
            **predict_proba_kwargs: Keyword arguments to be passed to the predict_proba method of the classifier.

        Returns:
            Class probabilities for X.
        """
        return self.estimator.predict_proba(X, **predict_proba_kwargs)

    def query(self, X_pool, *query_args, return_metrics: bool = False, **query_kwargs) -> Union[Tuple, modALinput]:
        """