radekrepo

What operating system do you use with lda2vec? Myself I don't know how could I help you. I can only say that I had a lot of problems like that...

Hi all, From my experience you can set a more aggressive down-sampling rule to remove the `out_of_vocabulary` or equally redundant tokens from at least some of the topics if not...

Ah, by the way, **agtsai-i**. You can also use the vector space to label topics with the nearest cosine distance token vectors instead of relying on the most common topic-word...

That's correct. Same here. Everything hangs on CUDA to pass on the computation-intensive tasks to GPU for faster computing. I had found it impossible to enable multithreaded + GPU computation...

Those files don't actually exist under the name suggested by the Readme. I found this inconsistency frustrating when trying my own code. For the hackernews example, some models can be...