convergence / window size / goodness of fit measures / inference schemes

[jwijffels]

Hi @xiaohuiyan
I've created an R package wrapping the C++ at https://github.com/bnosac/BTM which works fine.
While doing that, I had a number of questions on the C++

• the window size is set to 15. Is there any reason why this is fixed in the C++ code?
• can you provide ways or advice on how to see if the gibbs sampler has converged (what about burnin e.g., trace plots, ...)
• can we get from the C++ code somehow measure of statistics as provided in the paper?
• can you indicate with respect to the paper what the inference schemes sum_b, sub_w and mix refer to
• if you do inference on new text, do you need to remove the terms from pw_z which are not part of the new text (I'm confused by this question: Can BTM be used to assign topics to new sentences? #1)

many thanks!

[madegomez]

Hi.
Did you find an answer to your last question? The question about inference on new text.

Thanks

[jwijffels]

No