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hybrid_crossvalidated.rst.txt
Item cold-start: recommending StackExchange questions ========== In this example we'll use the StackExchange dataset to explore recommendations under item-cold start. Data dumps from the StackExcha...making.lyst.com/lightfm/docs/_sources/examples/hybrid_crossvalidated.rst.txtRegistered: Fri Mar 22 08:06:19 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 8.4K bytes - Viewed (0) -
quickstart.rst.txt
Quickstart ========== In this example, we'll build an implicit feedback recommender using the Movielens 100k dataset (http://grouplens.org/datasets/movielens/100k/). The code behind this example is...making.lyst.com/lightfm/docs/_sources/quickstart.rst.txtRegistered: Fri Mar 22 08:04:54 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 4.9K bytes - Viewed (0) -
lightfm.evaluation.rst.txt
Model evaluation ========== .. automodule:: lightfm.evaluation :members: :undoc-members: :show-inheritance:making.lyst.com/lightfm/docs/_sources/lightfm.evaluation.rst.txtRegistered: Fri Mar 22 08:05:27 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 136 bytes - Viewed (0) -
Cross-validation — LightFM 1.16 documentation
» Cross-validation Cross-validation Dataset splitting functions. lightfm.cross_validation. random_train_test_split ...making.lyst.com/lightfm/docs/cross_validation.htmlRegistered: Fri Mar 22 08:03:45 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 7.6K bytes - Viewed (0) -
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.txtRegistered: Fri Mar 22 08:05:52 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 2.4K bytes - Viewed (0) -
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.htmlRegistered: Fri Mar 22 08:04:24 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 5.1K 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 Mar 22 08:05:43 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 5.7K bytes - Viewed (2) -
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 Mar 22 08:05:33 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 Mar 22 08:05:55 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 6.8K bytes - Viewed (0) -
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 Mar 22 08:06:14 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 156 bytes - Viewed (0)