def __init__()

in hypernymysuite/pattern.py [0:0]


    def __init__(self, patterns_filename):
        # first read in the normal stuff
        super(PPMIModel, self).__init__(patterns_filename)
        # now let's transform the matrix
        tr_matrix = sparse.dok_matrix(self.matrix.shape)
        # actually do the transformation
        for (l, r) in self.matrix.keys():
            pmi_lr = (
                np.log(self.N)
                + np.log(self.matrix[(l, r)])
                - np.log(self.p_w[l])
                - np.log(self.p_c[r])
            )
            # ensure it's /positive/ pmi
            ppmi_lr = np.clip(pmi_lr, 0.0, 1e12)
            tr_matrix[(l, r)] = ppmi_lr
        self.matrix = tr_matrix