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I am trying to visualize LDA model with pyLDAvis.

This was working for me: pyLDAvis.gensim.prepare(lda_model, corpus, id2word)

but now it is throwing an error: AttributeError: module 'pyLDAvis' has no attribute 'gensim'

I tried this: pyLDAvis.prepare(lda_model, corpus, id2word)

but it is throwing error: TypeError: prepare() missing 2 required positional arguments: 'vocab' and 'term_frequency'

Then I tried this: pyLDAvis.prepare(lda_model, corpus, id2word, vocab=list_lemmatized) # list_lemmatized is my list of vocab

but it is throwing error: TypeError: prepare() missing 1 required positional argument: 'term_frequency'

So, how to calculate "term_frequency"? Thank you very much

arvasiy
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