RecNN Environment Package created
Pre-release
Pre-release
RecNN Environment Package created
- At this point, I have removed all the junk code from the notebooks, allowing you to focus on the implementation.
Code was moved over to following packages: Debugger, Plotter, Optimizers (only Radam copy for now), Models (Actor, Critic, bcqGenerator, bcqPerturbator), DataLoader. Learning functions for the models are coming next release. - Copyrighted ML20M dataset was completely removed, I implemented custom DataLoader that natively supports ml20m dataset and others with a similar data structure. As of now, it only supports pandas, however, Dask + Numba support will be added
As of now, this repo is in Alpha stage. Next things I am working on:
- Seamless reco-gym [github.com/criteo-research/reco-gym] integration
- LSTM versions of algorithms
- Advanced BCQ VAE generator implementation with autoregressive normalizing flows