Surprise

    A Python scikit for building and analyzing recommender systems

    Language: python

    Author: Camilla Döring (@camilla)

    12 stars · 331 views

    Files

    • CHANGELOG.md (markdown)
    • building_custom_algorithms ()
    • prediction_algorithms ()
    • README.md (markdown)
    • doc ()
    • source ()
    • examples ()
    • conf.py (python)
    • grid_search_usage.py (python)
    • most_basic_algorithm2.py (python)
    • run_all_examples.py (python)
    • load_custom_dataset_predefined_folds.py (python)
    • serialize_algorithm.py (python)
    • load_from_dataframe.py (python)
    • surprise ()
    • model_selection ()
    • dataset.py (python)
    • predictions.py (python)
    • setup.py (python)
    • __main__.py (python)
    • __init__.py (python)
    • load_custom_dataset.py (python)
    • split_data_for_unbiased_estimation.py (python)
    • top_n_recommendations.py (python)
    • accuracy.py (python)
    • __init__.py (python)
    • baseline_only.py (python)
    • algo_base.py (python)
    • LICENSE.md (markdown)
    • lint.sh (bash)
    • evaluate_on_trainset.py (python)
    • make.bat (plaintext)
    • k_nearest_neighbors.py (python)
    • precision_recall_at_k.py (python)
    • similarity_conf.py (python)
    • split.py (python)
    • search.py (python)
    • benchmark.py (python)
    • CONTRIBUTING.md (markdown)
    • generate_grid_search_cv_results_example.py (python)
    • mean_rating_user_item.py (python)
    • pyproject.toml (toml)
    • use_cross_validation_iterators.py (python)
    • __init__.py (python)
    • basic_usage.py (python)
    • most_basic_algorithm.py (python)
    • validation.py (python)
    • trainset.py (python)
    • baselines_conf.py (python)
    • TODO.md (markdown)
    • predict_ratings.py (python)
    • builtin_datasets.py (python)
    • dump.py (python)
    • reader.py (python)
    • random_pred.py (python)
    • knns.py (python)
    • ATTRIBUTION.md (markdown)
    • with_baselines_or_sim.py (python)

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