ldaseqmodel.py 文件源码

def __init__(self, doc=None, lda=None, max_doc_len=None, num_topics=None, gamma=None, lhood=None):

        self.doc = doc
        self.lda = lda
        self.gamma = gamma
        self.lhood = lhood
        if self.gamma is None:
            self.gamma = np.zeros(num_topics)
        if self.lhood is None:
            self.lhood = np.zeros(num_topics + 1)

        if max_doc_len is not None and num_topics is not None:
            self.phi = np.resize(np.zeros(max_doc_len * num_topics), (max_doc_len, num_topics))
            self.log_phi = np.resize(np.zeros(max_doc_len * num_topics), (max_doc_len, num_topics))

        # the following are class variables which are to be integrated during Document Influence Model

        self.doc_weight = None
        self.renormalized_doc_weight = None