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  1. 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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  2. Examples — LightFM 1.16 documentation

    » Examples Examples  Many of the examples can be viewed (and run) as Jupyter notebooks in the examples directory of ...
    making.lyst.com/lightfm/docs/examples.html
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  3. Search — LightFM 1.16 documentation

    » Search
    making.lyst.com/lightfm/docs/search.html
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  4. cross_validation.rst.txt

    Cross-validation ========== .. automodule:: lightfm.cross_validation :members: :undoc-members:
    making.lyst.com/lightfm/docs/_sources/cross_validation.rst.txt
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  5. lightfm.data.rst.txt

    Dataset construction ========== .. automodule:: lightfm.data :members: :undoc-members: :show-inheritance:
    making.lyst.com/lightfm/docs/_sources/lightfm.data.rst.txt
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  6. 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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  7. Model evaluation — LightFM 1.16 documentation

    » Model evaluation Model evaluation  Module containing evaluation functions suitable for judging the performance of ...
    making.lyst.com/lightfm/docs/lightfm.evaluation.html
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  8. 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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  9. lightfm.cross_validation — LightFM 1.16 documen...

    » Module code » lightfm.cross_validation Source code for lightfm.cross_validation # coding=utf-8 """ Dataset splittin...
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  10. lightfm.data — LightFM 1.16 documentation

    » Module code » lightfm.data Source code for lightfm.data import array import numpy as np import scipy.sparse as sp i...
    making.lyst.com/lightfm/docs/_modules/lightfm/data.html
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