RecTools
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RecTools - library to build Recommendation Systems easier and faster than ever before
### Feature Description A metric wrapper that creates debiased validation in case of strong popularity bias **in test data**. One way to do this is to fight power-law popularity distribution...
## Description Added users parameter in cross-validate.py to the request : https://github.com/MobileTeleSystems/RecTools/issues/90 This will help to solve a common task to calculate metrics only on specific subset of users ##...
### Feature Description `users` parameter in `cross-validate` will accept the list of external user ids to run all experiments only on these users. ### Why this feature? This will help...
### Feature Description Check which models have random seed fixation and write tests for all of them: - models with fixed seed produce same results - models with different fixed...
### Feature Description Support for saving and loading models in appropriate formats ### Why this feature? It' just super helpful in many cases ### Additional context _No response_
### Feature Description Method `get_params` for all RecTools models. It outputs a dict of all hyper-params available for tuning together with the values of the current instance. Wrapped models params...
### Feature Description We need to measure, how many items are actually recommended for users at top k positions out of all possible when Completeness = 100% (every user has...
### Feature Description Right now DSSMModel has one parameter without the default value: `dataset_type: TorchDataset[tp.Any]`. This is very confusing since DSSMModel also has a default model. But user can't use...
### Feature Description Create a jupyter notebook with explanation of our default model architecture and ways to use our wrapper with different architectures. Special explanation to `dataset_type` parameter ### Why...
### Feature Description Jupyter notebook with a tutorial ### Why this feature? It's helpful and great for documentation ### Additional context _No response_