Method transform_without_estimating

modAL/models/base.py:287–295

Transforms the data as supplied to each learner's estimator and concatenates transformations. Args: X: dataset to be transformed Returns: Transformed data set

(self, X: modALinput)

        return self

    def transform_without_estimating(self, X: modALinput) -> Union[np.ndarray, sp.csr_matrix]:
        """
        Transforms the data as supplied to each learner's estimator and concatenates transformations.
        Args:
            X: dataset to be transformed
        Returns:
            Transformed data set
        """
        return data_hstack([learner.transform_without_estimating(X) for learner in self.learner_list])

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