Alpha and gamma values not what are being fed in as arguments

[jkaupanger]

It's entirely possible that this issue stems from my lack of understanding of this model or of HDP/LDA in general:

I've written a method that cycles through different hyperparameter values and trains the model so that you can see how the output changes with different values.

I just ran the method in PyCharm, and I saw some strange behavior: I input alpha as 10 ** -4 (0.0001), eta as 10 ** -1 (0.1), and gamma as 10 ** 0 (1). However, once the model was trained, I got the following values:

hdp.alpha = 7.38756571081467e-05
hdp.eta = 0.10000000149011612
hdp.gamma = 3.130246162414551

Is this normal? Should those values be changing once the model has trained?

[bab2min]

Yes, the model automatically optimizes its alpha and gamma value.
If you want to fix these values, please set hdp.optim_interval = 0 before train.