b6a4b26ea39c634adfc46b064375f4af30b7e7a3,Orange/distance/__init__.py,SpearmanRAbsolute,__call__,#SpearmanRAbsolute#Any#Any#Any#,150

Before Change

        where r is Spearman"s correlation coefficient.
        
        x1 = e1.x if isinstance(e1, data.RowInstance) else e1.X
        x2 = e2.x if isinstance(e2, data.RowInstance) else e2.X if e2 is not None else x1
        if x1.ndim == 1 or x2.ndim == 1:
            axis = 0
            slc = len(x1) if x1.ndim > 1 else 1
        else:
            slc = len(e1) if axis == 1 else len(e1.domain.attributes)
        // stats.spearmanr does not work when e1=Table and e2=RowInstance
        // so we replace e1 and e2 and then transpose the result
        transpose = False

After Change

            dist = (1. - np.abs(rho)) / 2.
        else:
            dist = (1. - rho) / 2.
        if isinstance(dist, np.float):
            dist = np.array([[dist]])
        elif isinstance(dist, np.ndarray):
            dist = dist[:slc, slc:]
        if transpose:
           dist = dist.T
        if isinstance(e1, data.Table) or isinstance(e1, data.RowInstance):
            dist = DistMatrix(dist, e1, e2)
        else:
            dist = DistMatrix(dist)
        return dist

SpearmanR = SpearmanDistance(absolute=False)
SpearmanRAbsolute = SpearmanDistance(absolute=True)

Instances