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Welcome to LightFM’s documentation! — LightFM 1...
» Welcome to LightFM’s documentation! Welcome to LightFM’s documentation! LightFM is a Python implementation of a n...making.lyst.com/lightfm/docs/home.htmlRegistered: Fri Jun 27 07:23:46 UTC 2025 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 23.2K bytes - Viewed (0) -
Index — LightFM 1.16 documentation
» Index Index A | B | D | F | G | I | L | M | P | R | S | U A auc_score() (in module lightfm.evaluation) B build_inte...making.lyst.com/lightfm/docs/genindex.htmlRegistered: Fri Jun 27 07:24:01 UTC 2025 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 10.9K 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: Fri Jun 27 07:25:51 UTC 2025 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 6.8K 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: Fri Jun 27 07:25:13 UTC 2025 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 5.7K 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: Fri Jun 27 07:25:24 UTC 2025 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 156 bytes - Viewed (0) -
lightfm.datasets.movielens — LightFM 1.16 docum...
» Module code » lightfm.datasets.movielens Source code for lightfm.datasets.movielens import itertools import os impo...making.lyst.com/lightfm/docs/_modules/lightfm/datasets/movielens.htmlRegistered: Fri Jun 27 07:25:31 UTC 2025 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 29K bytes - Viewed (0) -
LightFM — LightFM 1.16 documentation
» LightFM LightFM class lightfm. LightFM ( no_components = 10 , k = 5 , n = 10 , learning_schedule = 'adagrad' , lo...making.lyst.com/lightfm/docs/lightfm.htmlRegistered: Fri Jun 27 07:22:54 UTC 2025 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 41.5K bytes - Viewed (0) -
Learning-to-rank using the WARP loss — LightFM ...
» Examples » Learning-to-rank using the WARP loss Learning-to-rank using the WARP loss LightFM is probably the only...making.lyst.com/lightfm/docs/examples/warp_loss.htmlRegistered: Fri Jun 27 07:23:11 UTC 2025 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 24.8K bytes - Viewed (0) -
Datasets — LightFM 1.16 documentation
» Datasets Datasets lightfm.datasets.movielens. fetch_movielens ( data_home = None , indicator_features = True , ge...making.lyst.com/lightfm/docs/datasets.htmlRegistered: Fri Jun 27 07:23:19 UTC 2025 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 13.8K bytes - Viewed (0) -
Building datasets — LightFM 1.16 documentation
» Examples » Building datasets Building datasets In this example, we’ll use LightFM’s built-in Dataset class to bui...making.lyst.com/lightfm/docs/examples/dataset.htmlRegistered: Fri Jun 27 07:23:42 UTC 2025 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 26.1K bytes - Viewed (0)