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py.svg
2041docs.python.org/3/_static/py.svgRegistered: Fri Nov 15 03:54:40 UTC 2024 - Last Modified: Tue Oct 29 15:17:43 UTC 2024 - 2K 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 Nov 15 03:08:47 UTC 2024 - Last Modified: Sat Nov 02 05:37:21 UTC 2024 - 266 bytes - Viewed (0) -
index.rst.txt
.. LightGBM documentation master file, created by sphinx-quickstart on Thu May 4 14:30:58 2017. You can adapt this file completely to your liking, but it should at least contain the root `toctree` ...lightgbm.readthedocs.io/en/latest/_sources/index.rst.txtRegistered: Fri Nov 15 06:57:25 UTC 2024 - Last Modified: Wed Feb 01 03:38:28 UTC 2023 - 1.5K 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 Nov 15 07:20:46 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_stackexchange 156making.lyst.com/lightfm/docs/_sources/datasets.rst.txtRegistered: Fri Nov 15 07:21:02 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 Nov 15 07:21:39 UTC 2024 - 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: Fri Nov 15 07:21:47 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 3.5K 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 Nov 15 07:06:44 UTC 2024 - Last Modified: Wed Feb 01 03:38:27 UTC 2023 - 155 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 Nov 15 07:06:58 UTC 2024 - Last Modified: Wed Feb 01 03:38:27 UTC 2023 - 77 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 Nov 15 07:07:50 UTC 2024 - Last Modified: Mon May 06 18:04:47 UTC 2024 - 9.6K bytes - Viewed (0)