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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.txtRegistered: Mon Oct 28 09:51:41 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 537 bytes - Viewed (0) -
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.txtRegistered: Mon Oct 28 09:50:27 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 433 bytes - Viewed (0) -
cross_validation.rst.txt
Cross-validation ========== .. automodule:: lightfm.cross_validation :members: :undoc-members: 108making.lyst.com/lightfm/docs/_sources/cross_validation.rst.txtRegistered: Mon Oct 28 09:51:21 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 108 bytes - Viewed (0) -
lightfm.data.rst.txt
Dataset construction ========== .. automodule:: lightfm.data :members: :undoc-members: :show-inheritance: 129making.lyst.com/lightfm/docs/_sources/lightfm.data.rst.txtRegistered: Mon Oct 28 09:52:46 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 129 bytes - Viewed (0) -
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.txtRegistered: Mon Oct 28 09:50:54 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 2.4K bytes - Viewed (0) -
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.txtRegistered: Mon Oct 28 09:52:43 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 5.7K bytes - Viewed (0) -
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.txtRegistered: Mon Oct 28 09:52:15 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 3.5K bytes - Viewed (0) -
datasets.rst.txt
Datasets ========== .. autofunction:: lightfm.datasets.movielens.fetch_movielens .. autofunction:: lightfm.datasets.stackexchange.fetch_stackexchange 156making.lyst.com/lightfm/docs/_sources/datasets.rst.txtRegistered: Mon Oct 28 09:50:38 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 156 bytes - Viewed (0) -
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.txtRegistered: Mon Oct 28 09:51:11 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 6.8K bytes - Viewed (0) -
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.txtRegistered: Mon Oct 28 09:51:07 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 8.4K bytes - Viewed (0)