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contributors.txt
# Contributors by commit history https://github.com/mdn/content/commits/main/files/en-us/web/svg/element/a/index.md # Original Wiki contributors mfuji09 rml1997 Tech_Crazy takenspc Tigt fabioricali...developer.mozilla.org/en-US/docs/Web/SVG/Element/a/contributors.txtRegistered: Fri Feb 21 01:08:21 UTC 2025 - Last Modified: Fri Apr 14 01:39:23 UTC 2023 - 290 bytes - Viewed (0) -
contributors.txt
# Contributors by commit history https://github.com/mdn/content/commits/main/files/en-us/web/svg/element/cursor/index.md # Original Wiki contributors ExE-Boss fscholz Sebastianz kscarfone Jeremie t...developer.mozilla.org/en-US/docs/Web/SVG/Element/cursor/contributors.txtRegistered: Fri Feb 21 01:10:00 UTC 2025 - Last Modified: Fri Apr 14 01:39:24 UTC 2023 - 219 bytes - Viewed (0) -
lightgbm.cv.rst.txt
lightgbm.cv ========== .. currentmodule:: lightgbm .. autofunction:: cv 77lightgbm.readthedocs.io/en/latest/_sources/pythonapi/lightgbm.cv.rst.txtRegistered: Fri Feb 21 06:30:01 UTC 2025 - Last Modified: Wed Feb 01 03:38:27 UTC 2023 - 77 bytes - Viewed (0) -
lightgbm.create_tree_digraph.rst.txt
lightgbm.create\_tree\_digraph ========== .. currentmodule:: lightgbm .. autofunction:: create_tree_digraph 132lightgbm.readthedocs.io/en/latest/_sources/pythonapi/lightgbm.create_tree_digraph.rst.txtRegistered: Fri Feb 21 06:31:41 UTC 2025 - Last Modified: Wed Feb 01 03:38:27 UTC 2023 - 132 bytes - Viewed (0) -
GPU-Targets.rst.txt
GPU SDK Correspondence and Device Targeting Table ~~~~~~~~~~ GPU Targets Table ========== OpenCL is a universal massively parallel programming framework that targets multiple backends (GPU, CPU, FP...lightgbm.readthedocs.io/en/latest/_sources/GPU-Targets.rst.txtRegistered: Fri Feb 21 06:31:48 UTC 2025 - Last Modified: Mon May 06 18:04:47 UTC 2024 - 9.6K bytes - Viewed (0) -
lightgbm.plot_split_value_histogram.rst.txt
lightgbm.plot\_split\_value\_histogram ========== .. currentmodule:: lightgbm .. autofunction:: plot_split_value_histogram 155lightgbm.readthedocs.io/en/latest/_sources/pythonapi/lightgbm.plot_split_value_histogram.rst.txtRegistered: Fri Feb 21 06:31:21 UTC 2025 - Last Modified: Wed Feb 01 03:38:27 UTC 2023 - 155 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 Feb 21 06:35:31 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: Fri Feb 21 06:36:18 UTC 2025 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 5.7K 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 Feb 21 06:36:21 UTC 2025 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 6.8K 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 Feb 21 06:36:24 UTC 2025 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 3.5K bytes - Viewed (0)