(self, X)
return curr_covered
Evaluate several instances concurrently.

        Parameters
        ----------
        X : ndarray
            Evaluate this data.

        Returns
        -------
        res : ndarray, bool
            Array of evaluations.
Evaluate several instances concurrently.
Evaluate several instances concurrently .
def evaluate_data(self, X):
        """
        Evaluate several instances concurrently.

        Parameters
        ----------
        X : ndarray
            Evaluate this data.

        Returns
        -------
        res : ndarray, bool
            Array of evaluations.
        """
        curr_covered = np.ones(X.shape[0], dtype=bool)
        for selector in self.selectors:
            curr_covered &= selector.filter_data(X)
        return curr_covered
def evaluate_data ( self , X ) : curr_covered = np . ones ( X . shape [ 0 ] , dtype = bool ) for selector in self . selectors : curr_covered &= selector . filter_data ( X ) return curr_covered