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Results 1 - 10 of 15 for label:python (0.02 seconds)

  2. index.rst.txt

    .. include:: home.rst Contents ======== .. toctree:: :maxdepth: 2 Home <home> Quickstart <quickstart> The LightFM model class <lightfm> Model evaluation <lightfm.evaluation> Cross validation <cross...
    making.lyst.com/lightfm/docs/_sources/index.rst.txt
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    Wed Mar 09 16:56:08 GMT 2022
      433 bytes

  3. cross_validation.rst.txt

    Cross-validation ========== .. automodule:: lightfm.cross_validation :members: :undoc-members: 108
    making.lyst.com/lightfm/docs/_sources/cross_validation.rst.txt
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    Wed Mar 09 16:56:08 GMT 2022
      108 bytes

  4. examples.rst.txt

    Examples ========== Many of the examples can be viewed (and run) as Jupyter notebooks in the `examples directory <https://github.com/lyst/lightfm/tree/master/examples>`_ of the LightFM repository. ...
    making.lyst.com/lightfm/docs/_sources/examples.rst.txt
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    Wed Mar 09 16:56:08 GMT 2022
      537 bytes

  5. lightfm.data.rst.txt

    Dataset construction ========== .. automodule:: lightfm.data :members: :undoc-members: :show-inheritance: 129
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    Wed Mar 09 16:56:08 GMT 2022
      129 bytes

  6. 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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    Wed Mar 09 16:56:08 GMT 2022
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  7. 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
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    Wed Mar 09 16:56:08 GMT 2022
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  8. lightfm.rst.txt

    LightFM ========== .. autoclass:: lightfm.LightFM :members: :undoc-members: 88
    making.lyst.com/lightfm/docs/_sources/lightfm.rst.txt
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    Wed Mar 09 16:56:08 GMT 2022
      88 bytes

  9. 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
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    Wed Mar 09 16:56:08 GMT 2022
      6K bytes

  10. 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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    Wed Mar 09 16:56:08 GMT 2022
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  11. 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
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    Wed Mar 09 16:56:08 GMT 2022
      6.8K bytes
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