    def encode_labels(self, labels, nclass=5):
        """
        Label encoding from Tree LSTM paper (Tai, Socher, Manning)
        """
        Y = np.zeros((len(labels), nclass)).astype('float32')
        for j, y in enumerate(labels):
            for i in range(nclass):
                if i+1 == np.floor(y) + 1:
                    Y[j, i] = y - np.floor(y)
                if i+1 == np.floor(y):
                    Y[j, i] = np.floor(y) - y + 1
        return Y
Label encoding from Tree LSTM paper (Tai, Socher, Manning)
SentEval/senteval/sick.py