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  1. hybrid_crossvalidated.rst.txt

    Item cold-start: recommending StackExchange questions ========== In this example we'll use the StackExchange dataset to explore recommendations under item-cold start. Data dumps from the StackExcha...
    making.lyst.com/lightfm/docs/_sources/examples/hybrid_crossvalidated.rst.txt
    Registered: Fri Mar 22 08:06:19 UTC 2024
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  2. quickstart.rst.txt

    Quickstart ========== In this example, we'll build an implicit feedback recommender using the Movielens 100k dataset (http://grouplens.org/datasets/movielens/100k/). The code behind this example is...
    making.lyst.com/lightfm/docs/_sources/quickstart.rst.txt
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  3. lightfm.evaluation.rst.txt

    Model evaluation ========== .. automodule:: lightfm.evaluation :members: :undoc-members: :show-inheritance:
    making.lyst.com/lightfm/docs/_sources/lightfm.evaluation.rst.txt
    Registered: Fri Mar 22 08:05:27 UTC 2024
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  4. Cross-validation — LightFM 1.16 documentation

    » Cross-validation Cross-validation  Dataset splitting functions. lightfm.cross_validation. random_train_test_split ...
    making.lyst.com/lightfm/docs/cross_validation.html
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  5. faq.rst.txt

    === FAQ === Does LightFM have a GPU-based implementation? ========== No, there is no option to run training or inference on the GPU with LightFM. There are currently no plans to change this. See ht...
    making.lyst.com/lightfm/docs/_sources/faq.rst.txt
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  6. Python Module Index — LightFM 1.16 documentation

    » Python Module Index Python Module Index l l lightfm lightfm.cross_validation lightfm.data lightfm.evaluation
    making.lyst.com/lightfm/docs/py-modindex.html
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  7. movielens_implicit.rst.txt

    An implicit feedback recommender for the Movielens dataset ========== Implicit feedback ---------- For some time, the recommender system literature focused on explicit feedback: the Netflix prize f...
    making.lyst.com/lightfm/docs/_sources/examples/movielens_implicit.rst.txt
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  8. learning_schedules.rst.txt

    Using different learning schedules ========== ``lightfm`` implements two learning schedules: adagrad and adadelta. Neither is clearly superior, and, like other hyperparameter choices, the best lear...
    making.lyst.com/lightfm/docs/_sources/examples/learning_schedules.rst.txt
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  9. home.rst.txt

    Welcome to LightFM's documentation! ========== LightFM is a Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback. It also makes it possible...
    making.lyst.com/lightfm/docs/_sources/home.rst.txt
    Registered: Fri Mar 22 08:05:55 UTC 2024
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  10. datasets.rst.txt

    Datasets ========== .. autofunction:: lightfm.datasets.movielens.fetch_movielens .. autofunction:: lightfm.datasets.stackexchange.fetch_stackexchange
    making.lyst.com/lightfm/docs/_sources/datasets.rst.txt
    Registered: Fri Mar 22 08:06:14 UTC 2024
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