1a4c264cc9b2cb0bb89840ee9175177e86eef3ef,ot/da.py,BaseTransport,transform_labels,#BaseTransport#Any#,946

Before Change

            // set nans to 0
            transp[~ np.isfinite(transp)] = 0

            if np.min(classes) != 0:
                ys = ys - np.min(classes)
                classes = np.unique(ys)

            for c in classes:
                D1[int(c), ys == c] = 1

            // compute transported samples

After Change

        // check the necessary inputs parameters are here
        if check_params(ys=ys):

            ysTemp = label_normalization(np.copy(ys))
            classes = np.unique(ysTemp)
            n = len(classes)
            D1 = np.zeros((n, len(ysTemp)))

Instances