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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.txtWed Mar 09 16:56:08 GMT 2022 2.4K bytes -
Python Module Index — LightFM 1.16 documentation
» Python Module Index Python Module Index l l lightfm lightfm.cross_validation lightfm.data lightfm.evaluationmaking.lyst.com/lightfm/docs/py-modindex.htmlWed Mar 09 16:56:08 GMT 2022 5.1K bytes -
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.txtWed Mar 09 16:56:08 GMT 2022 6.9K bytes -
lightfm.rst.txt
LightFM ========== .. autoclass:: lightfm.LightFM :members: :undoc-members: 88making.lyst.com/lightfm/docs/_sources/lightfm.rst.txtWed Mar 09 16:56:08 GMT 2022 88 bytes -
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.htmlWed Mar 09 16:56:08 GMT 2022 4.4K bytes -
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.txtWed Mar 09 16:56:08 GMT 2022 6K bytes -
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.txtWed Mar 09 16:56:08 GMT 2022 3.5K bytes -
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.txtWed Mar 09 16:56:08 GMT 2022 6.8K bytes -
datasets.rst.txt
Datasets ========== .. autofunction:: lightfm.datasets.movielens.fetch_movielens .. autofunction:: lightfm.datasets.stackexchange.fetch_stackexchange 156making.lyst.com/lightfm/docs/_sources/datasets.rst.txtWed Mar 09 16:56:08 GMT 2022 156 bytes -
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.txtWed Mar 09 16:56:08 GMT 2022 5.7K bytes