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  1. 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
    Wed Mar 09 16:56:08 GMT 2022
      2.4K bytes
  2. 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
    Wed Mar 09 16:56:08 GMT 2022
      5.1K bytes
  3. warp_loss.rst.txt

    Learning-to-rank using the WARP loss ========== LightFM is probably the only recommender package implementing the WARP (Weighted Approximate-Rank Pairwise) loss for implicit feedback learning-to-ra...
    making.lyst.com/lightfm/docs/_sources/examples/warp_loss.rst.txt
    Wed Mar 09 16:56:08 GMT 2022
      6.9K bytes
  4. lightfm.rst.txt

    LightFM ========== .. autoclass:: lightfm.LightFM :members: :undoc-members: 88
    making.lyst.com/lightfm/docs/_sources/lightfm.rst.txt
    Wed Mar 09 16:56:08 GMT 2022
      88 bytes
  5. Overview: module code — LightFM 1.16 documentation

    » Overview: module code All modules for which code is available lightfm.cross_validation lightfm.data lightfm.dataset...
    making.lyst.com/lightfm/docs/_modules/index.html
    Wed Mar 09 16:56:08 GMT 2022
      4.4K bytes
  6. dataset.rst.txt

    Building datasets ========== In this example, we'll use LightFM's built-in ``Dataset`` class to build an interaction dataset from raw data. The goal is to demonstrate how to go from raw data (lists...
    making.lyst.com/lightfm/docs/_sources/examples/dataset.rst.txt
    Wed Mar 09 16:56:08 GMT 2022
      6K bytes
  7. 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
    Wed Mar 09 16:56:08 GMT 2022
      3.5K bytes
  8. 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
    Wed Mar 09 16:56:08 GMT 2022
      6.8K bytes
  9. datasets.rst.txt

    Datasets ========== .. autofunction:: lightfm.datasets.movielens.fetch_movielens .. autofunction:: lightfm.datasets.stackexchange.fetch_stackexchange 156
    making.lyst.com/lightfm/docs/_sources/datasets.rst.txt
    Wed Mar 09 16:56:08 GMT 2022
      156 bytes
  10. 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
    Wed Mar 09 16:56:08 GMT 2022
      5.7K bytes
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