Auto-Surprise is an easy-to-use python AutoRecommenderSystem (AutoRecSys) library. It automates algorithm selection and hyperparameter tuning to build an optimized recommendation model. It uses the popular scikit library Surprise for recommender algorithms and Hyperopt for hyperparameter tuning.
Unfortunately, currently only linux systems are supported, but you can use WSL in windows as well.
To get started with Auto-Surprise, check out the :ref:`quick_start` guide. If you have any issues or doubts, head over to the Github repository and create an issue.
.. toctree:: :maxdepth: 3 :caption: Usage Guide usage/quick_start usage/manual usage/reproducing_experiments
.. toctree:: :caption: Benchmarks benchmarks/evaluation benchmarks/results