b96ebe95e2901cdb27b8c7ea5bead2c0b9265e59,tslearn/piecewise.py,PiecewiseAggregateApproximation,_transform,#PiecewiseAggregateApproximation#Any#Any#,140

Before Change

        for i_seg in range(self.n_segments):
            start = i_seg * sz_segment
            end = start + sz_segment
            X_transformed[:, i_seg, :] = X[:, start:end, :].mean(axis=1)
        return X_transformed

    def transform(self, X, y=None):

After Change

                for i_seg in range(self.n_segments):
                    start = i_seg * sz_segment
                    end = start + sz_segment
                    segment = X[i_ts, start:end, i_dim]
                    X_transformed[i_ts, i_seg, i_dim] = numpy.nanmean(segment)

        // sz_segment = sz // self.n_segments
        // for i_seg in range(self.n_segments):
        //     start = i_seg * sz_segment

Instances