88abd45771007af80c6cbcc094d817b7f9e75a7a,pyemma/coordinates/estimation/covariance.py,CovarEstimator,_estimate,#CovarEstimator#Any#,98

Before Change

                self._progress_update(1, stage=0)

        if partial_fit:
            if not hasattr(self, "_used_data"):
                self._used_data = 0
            self._used_data += len(it)

    @property
    def mean(self):

After Change

                if self.remove_constant_mean is not None:
                    X -= self.remove_constant_mean[np.newaxis, :]
                    if Y is not None:
                        Y -= self.remove_constant_mean[np.newaxis, :]

                try:
                    self._rc.add(X, Y, weights=weight_series)

Instances