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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: Wed Oct 15 08:19:22 UTC 2025 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 29K 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: Wed Oct 15 08:19:25 UTC 2025 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 156 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: Wed Oct 15 08:19:38 UTC 2025 - 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: Wed Oct 15 08:19:54 UTC 2025 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 3.5K 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: Wed Oct 15 08:18:30 UTC 2025 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 10.9K bytes - Viewed (0) -
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: Wed Oct 15 08:17:27 UTC 2025 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 23.2K 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: Wed Oct 15 08:18:59 UTC 2025 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 6.8K bytes - Viewed (0) -
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.txtRegistered: Wed Oct 15 08:19:46 UTC 2025 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 6K bytes - Viewed (0) -
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.txtRegistered: Wed Oct 15 08:19:51 UTC 2025 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 6.9K bytes - Viewed (0) -
lightfm.evaluation — LightFM 1.16 documentation
» Module code » lightfm.evaluation Source code for lightfm.evaluation # coding=utf-8 """ Module containing evaluation...making.lyst.com/lightfm/docs/_modules/lightfm/evaluation.htmlRegistered: Wed Oct 15 08:18:52 UTC 2025 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 34.9K bytes - Viewed (0)