wojnarabc

Hello @KonstantinKorotaev, can see that it was already merged with master branch so i've updated this one on my end as well. After the update, i've recreated environment and created...

... when switched to LS 1.1.1 (used initially) second scenario started to work now (now able to initiate learning and make predictions). Had to create separate environment for that as...

Hello @KonstantinKorotaev, there is a fit method in example in `...examples/ner/ner.py` folder starting in line 461. TransformersBasedTagger is part of it.

Hello, facing similar issue with ray 2.0.0 while trying to run inv-management-quickstart.ipynb with InvManagement-v0/v1. Tutorial mentioned that 1.0.0 ray version should be used (runs fine there) but this one is...

Started to work on my end when added `framework= "torch"` to `rl_config` and modified attribute path in both `pol_loss` and `vf_loss` adding `['learner_stats']` level on fourth place. i.e. `i['info']['learner']['default_policy']['learner_stats']['policy_loss'] `....

Would be great to have it configurable on per covariate (group) basis, eventually option to exclude some for which we do not wish to create any lags altogether. Especially that...

Would be great to have capability of do window calculations on the fly. Keeping fingers crossed for this one :)

Hey, any further plans for this one ?