如何使用gensim LDA获得文档的完整主题分发？

如何使用gensim LDA获得文档的完整主题分发？

似乎还没有人答复，因此我将尽一切可能给gensim文档以解答。

minimum_probability

训练模型以获得所需的结果时，似乎需要将参数设置为0.0：

lda = LdaMulticore(corpus=corpus, num_topics=num_topics, id2word=dictionary, workers=num_cores, alpha=1e-5, eta=5e-1,   minimum_probability=0.0)lda[corpus[233]]>>> [(0, 5.8821799358842424e-07), (1, 5.8821799358842424e-07), (2, 5.8821799358842424e-07), (3, 5.8821799358842424e-07), (4, 5.8821799358842424e-07), (5, 5.8821799358842424e-07), (6, 5.8821799358842424e-07), (7, 5.8821799358842424e-07), (8, 5.8821799358842424e-07), (9, 5.8821799358842424e-07), (10, 5.8821799358842424e-07), (11, 5.8821799358842424e-07), (12, 5.8821799358842424e-07), (13, 5.8821799358842424e-07), (14, 5.8821799358842424e-07), (15, 5.8821799358842424e-07), (16, 5.8821799358842424e-07), (17, 5.8821799358842424e-07), (18, 5.8821799358842424e-07), (19, 5.8821799358842424e-07), (20, 5.8821799358842424e-07), (21, 5.8821799358842424e-07), (22, 5.8821799358842424e-07), (23, 5.8821799358842424e-07), (24, 5.8821799358842424e-07), (25, 5.8821799358842424e-07), (26, 5.8821799358842424e-07), (27, 0.99997117731831464), (28, 5.8821799358842424e-07), (29, 5.8821799358842424e-07), (30, 5.8821799358842424e-07), (31, 5.8821799358842424e-07), (32, 5.8821799358842424e-07), (33, 5.8821799358842424e-07), (34, 5.8821799358842424e-07), (35, 5.8821799358842424e-07), (36, 5.8821799358842424e-07), (37, 5.8821799358842424e-07), (38, 5.8821799358842424e-07), (39, 5.8821799358842424e-07), (40, 5.8821799358842424e-07), (41, 5.8821799358842424e-07), (42, 5.8821799358842424e-07), (43, 5.8821799358842424e-07), (44, 5.8821799358842424e-07), (45, 5.8821799358842424e-07), (46, 5.8821799358842424e-07), (47, 5.8821799358842424e-07), (48, 5.8821799358842424e-07), (49, 5.8821799358842424e-07)]