本文整理匯總了Python中gensim.corpora.WikiCorpus.loadDictionary方法的典型用法代碼示例。如果您正苦於以下問題：Python WikiCorpus.loadDictionary方法的具體用法？Python WikiCorpus.loadDictionary怎麽用？Python WikiCorpus.loadDictionary使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類gensim.corpora.WikiCorpus的用法示例。
在下文中一共展示了WikiCorpus.loadDictionary方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: enumerate
# 需要導入模塊: from gensim.corpora import WikiCorpus [as 別名]
# 或者: from gensim.corpora.WikiCorpus import loadDictionary [as 別名]
gamma, _ = self.inference([bow])
theta = numpy.exp(dirichlet_expectation(gamma[0]))
topicDist = theta / theta.sum() # normalize to proper distribution
return [(topicId, topicValue) for topicId, topicValue in enumerate(topicDist)
if topicValue >= eps] # ignore document's topics that have prob < eps
#endclass LdaModel
if __name__ == '__main__':
logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s')
logger.setLevel(level = logging.DEBUG)
logger.info("running %s" % ' '.join(sys.argv))
import os.path
program = os.path.basename(sys.argv[0])
from gensim.corpora import WikiCorpus, MmCorpus, LowCorpus
numpy.random.seed(100000001)
vocab = WikiCorpus.loadDictionary('/Users/kofola/gensim/results/wiki10_en_wordids.txt')
corpus = MmCorpus('/Users/kofola/gensim/results/wiki10_en_bow.mm')
K = 50
olda = LdaModel(numTopics=K, id2word=vocab, alpha=1./K, eta=1./K, decay=0.5)
olda.update(corpus)
olda.save('olda2.pkl')
logging.info("finished running %s" % program)