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py.svg
docs.python.org/3/_static/py.svgRegistered: Fri May 10 04:17:26 UTC 2024 - Last Modified: Tue Apr 09 10:38:32 UTC 2024 - 2K bytes - Viewed (4) -
index.rst.txt
H2O Documentation ========== .. toctree:: intro h2o data frame modeling model_categories tree metrics assembly backend exceptions Indices and tables ========== * :ref:`genindex` * :ref:`modindex` *...docs.h2o.ai/h2o/latest-stable/h2o-py/docs/_sources/index.rst.txtRegistered: Fri May 10 03:27:35 UTC 2024 - Last Modified: Wed Mar 13 16:48:11 UTC 2024 - 266 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 May 10 08:05:53 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 5.7K bytes - Viewed (2) -
datasets.rst.txt
Datasets ========== .. autofunction:: lightfm.datasets.movielens.fetch_movielens .. autofunction:: lightfm.datasets.stackexchange.fetch_stackexchangemaking.lyst.com/lightfm/docs/_sources/datasets.rst.txtRegistered: Fri May 10 08:04:56 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 156 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: Fri May 10 08:05:15 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 3.5K bytes - Viewed (1) -
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 May 10 08:05:20 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 6.8K bytes - Viewed (0) -
pydata-sphinx-theme.js
(()=>{"use strict";function e(e){"loading"!=document.readyState?e():document.addEventListener("DOMContentLoaded",e)}var t=window.matchMedia("(prefers-color-scheme: dark)");function o(e){document.do...matplotlib.org/stable/_static/scripts/pydata-sphinx-theme.jsRegistered: Fri May 10 08:10:27 UTC 2024 - Last Modified: Thu Apr 04 03:00:33 UTC 2024 - 4.3K bytes - Viewed (0) -
pydata-sphinx-theme.js
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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: Fri May 10 08:06:00 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 6.9K bytes - Viewed (0) -
LightGBM_logo_black_text.svg
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