TypeError：__init __（）获得了意外的关键字参数'n_components'

Question

I'm trying to apply LatentDirichletAllocation on a dataset. When I try to assign a value to the n_component argument of LDA. I get the below error.

TypeError                                 Traceback (most recent call last)
<ipython-input-25-6f5cf163fcaf> in <module>()
     23 # tfidf = vectorizer.fit_transform(line)
     24 # print(tfidf)
---> 25 lda = LatentDirichletAllocation(n_components = 100)
     26 lda.fit(bag_of_words)
     27 tf_feature_names = vector.get_feature_names()

TypeError: __init__() got an unexpected keyword argument 'n_components'

Answer 1

If you are using an older version of sklearn (< 0.19) you should use the n_topics arg in place of n_components

lda = LatentDirichletAllocation(n_topics=100)

The documentation for the older interface is available in sklearn.LatentDirichletAllocation version 0.18