topic_distr provides topic scores for each doc, i.e. n- documents and m- topics for each of that doc
What does this PR do?
There is a documentation typo thats confusing and needs correction.
Eg
topic_distr, _ = topic_model.approximate_distribution(documents_array, window=4)
len(topic_distr)#n- number of documents
#output 4172
len(topic_distr[0])#m- number of topics
#output 60
Before submitting
[x] This PR fixes a typo or improves the docs (if yes, ignore all other checks!).
topic_distr provides topic scores for each doc, i.e. n- documents and m- topics for each of that doc
What does this PR do?
There is a documentation typo thats confusing and needs correction.
Eg
Before submitting