RecTools

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Optimized TimeRangeSplit

1

feldlime

Fixed bug with MAP calculation

1

There was a bug with calculating MAP metric in case when some duplicated interactions present in the test data. This Pull request fixes it.

feldlime

Windows + python=3.9 is not supported

2

I can't install rectools on Windows for python=3.9 due to problems with installing [nmslib](https://github.com/nmslib/nmslib) (one of the dependencies). Issue for tracking - https://github.com/nmslib/nmslib/issues/464

sharthZ23

If `user_id` and `item_id` columns are CategoryDType, then np.setdiff1d works very slowly on large volumes (>10 million unique ones) Possible solution is to replace: https://github.com/MobileTeleSystems/RecTools/blob/76c41e0e039cd050b46ec0f6cb7f0f668fca9574/rectools/model_selection/time_split.py#L146 with ```python new_users = set(df_test[Columns.User].unique())...

sharthZ23

## Description Closes https://github.com/MobileTeleSystems/RecTools/issues/121 ## Type of change - [ ] Bug fix (non-breaking change which fixes an issue) - [x] New feature (non-breaking change which adds functionality) - [...

feldlime

Add the ability to recommend for cold users and items to models: LightFM DSSM (warm only)

feldlime

Cold users/items support in non-personilized models

1

## Description - Supported cold recommendations in non-personalized models (random, popular and popular-in-category) - Added check for incorrect types of cold targets Closes https://github.com/MobileTeleSystems/RecTools/issues/119 ## Type of change - [...

feldlime

Add the ability to recommend for cold users and items to models: - `PopularModel` - `PopularInCategoryModel` - `RandomModel`

feldlime

### 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...

blondered

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)...

blondered