Hello !
In LDA there are different ways to assess which is the 'best' number of topics. I would like to evaluate models with different k1 and k2 in Pachinko topic modeling in Python (package tomotopy currently, but I could switch to another package if it's more practical for this). Would someone know how this can be done?
Best wishes,
Eric