glove.py 文件源码

def load(cls, filepath_or_buffer):
        """
        Load word embeddings from a csv file.

        Params
        ------
        filepath_or_buffer : str
            Any object that ``pandas.to_csv()`` can read from.

        """
        word_vectors = pd.read_csv(
            filepath_or_buffer, sep=' ',
            quoting=QUOTE_NONE, index_col=0, header=None)
        word_vectors.columns = np.arange(word_vectors.shape[1])
        word_vectors.index.name = 'token'
        self = cls(n_dimensions=word_vectors.shape[1])
        self.word_vectors_ = word_vectors
        return self