Topic Modeling, Data Science, Machine Learning, NLP, Tips And Tricks.
chose to compute the digamma function exactly, an extremely expensive operation. sklearn chose to approximate it, resulting in a 10–20x speedup. Even worse, gensim’s implementation of SVI is incorrect with no function arguments that can fix it. To be precise: if you input the entire corpus in one