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index.rst.txt
:notoc: .. pandas documentation master file, created by .. module:: pandas ********** pandas documentation ********** **Date**: |today| **Version**: |version| **Download documentation**: `Zipped HT...pandas.pydata.org/pandas-docs/stable/_sources/index.rst.txtRegistered: Fri May 17 09:20:44 UTC 2024 - Last Modified: Thu Apr 11 14:17:48 UTC 2024 - 3.1K bytes - Viewed (0) -
assembly.rst.txt
H2OAssembly ========== .. autoclass:: h2o.assembly.H2OAssembly :members: :undoc-members: :show-inheritance:docs.h2o.ai/h2o/latest-stable/h2o-py/docs/_sources/assembly.rst.txtRegistered: Fri May 17 03:27:30 UTC 2024 - Last Modified: Mon May 13 16:44:07 UTC 2024 - 117 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: Fri May 17 08:05:55 UTC 2024 - 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: Fri May 17 08:06:51 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 6.9K bytes - Viewed (0) -
lightfm.rst.txt
LightFM ========== .. autoclass:: lightfm.LightFM :members: :undoc-members:making.lyst.com/lightfm/docs/_sources/lightfm.rst.txtRegistered: Fri May 17 08:06:38 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 88 bytes - Viewed (1) -
index.rst.txt
{{ header }} .. _user_guide: ========== User Guide ========== The User Guide covers all of pandas by topic area. Each of the subsections introduces a topic (such as "working with missing data"), an...pandas.pydata.org/pandas-docs/stable/_sources/user_guide/index.rst.txtRegistered: Fri May 17 09:23:40 UTC 2024 - Last Modified: Thu Apr 11 14:17:48 UTC 2024 - 1.6K bytes - Viewed (0) -
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 17 03:23:54 UTC 2024 - Last Modified: Mon May 13 16:44:07 UTC 2024 - 266 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 17 08:06:25 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 3.5K bytes - Viewed (1) -
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 17 08:06:28 UTC 2024 - 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: Fri May 17 08:05:52 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 5.7K bytes - Viewed (2)