gensim.models.HdpModel.__init__¶

HdpModel.__init__(corpus, id2word, max_chunks=None, max_time=None, chunksize=256, kappa=1.0, tau=64.0, K=15, T=150, alpha=1, gamma=1, eta=0.01, scale=1.0, var_converge=0.0001, outputdir=None)[source]¶

gamma: first level concentration alpha: second level concentration eta: the topic Dirichlet T: top level truncation level K: second level truncation level kappa: learning rate tau: slow down parameter max_time: stop training after this many seconds max_chunks: stop after having processed this many chunks (wrap around corpus beginning in another corpus pass, if there are not enough chunks in the corpus)