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  2. Search — LightFM 1.16 documentation

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  3. 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. ...
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  4. Examples — LightFM 1.16 documentation

    » Examples Examples  Many of the examples can be viewed (and run) as Jupyter notebooks in the examples directory of ...
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  5. 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...
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  6. lightfm.data.rst.txt

    Dataset construction ========== .. automodule:: lightfm.data :members: :undoc-members: :show-inheritance: 129
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  7. cross_validation.rst.txt

    Cross-validation ========== .. automodule:: lightfm.cross_validation :members: :undoc-members: 108
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  8. Model evaluation — LightFM 1.16 documentation

    » Model evaluation Model evaluation  Module containing evaluation functions suitable for judging the performance of ...
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  9. Cross-validation — LightFM 1.16 documentation

    » Cross-validation Cross-validation  Dataset splitting functions. lightfm.cross_validation. random_train_test_split ...
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  10. 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...
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  11. 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...
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