Topic Modeling, Data Science, Machine Learning, NLP, Tips And Tricks.
converge. I recommend a batch size around 2–10 thousand, which is easily handled by SVI. A higher batch size is almost always better if computation time were no issue. I typically have a fixed number of sampled (with replacement) documents in mind during hyperparameter tuning, such as 500k, and set