Daria

### Feature Description If `Columns.Model` is missing in `reco`, the error is thrown. But we can handle this case by adding default model name ### Why this feature? More convenient...

Add all models tutorial links to docstrings

10

### Feature Description Extend models docstrings in the following way: 1. Add short description of the algorithm **if necessary** (examples of such short descriptions can be found in our README)...

### 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...

Users parameter for cross-validate

1

### 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...

Save/load functions to all of the models

2

### 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_

Models method to generate a dict of its hyper-params (including wrapped)

1

### 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...