lightgbm 4.3.0

LightGBM Python Package

08-08-2021 418 words 2 minutes 0 views

Contents

LightGBM Python Package

Stars: 16012, Watchers: 16012, Forks: 3761, Open Issues: 392

The microsoft/LightGBM repo was created 7 years ago and the last code push was 5 hours ago.
The project is extremely popular with a mindblowing 16012 github stars!

How to Install lightgbm

You can install lightgbm using pip

pip install lightgbm

or add it to a project with poetry

poetry add lightgbm

Package Details

Author
License: The MIT License (MIT) Copyright (c) Microsoft Corporation Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Homepage: https://github.com/microsoft/LightGBM
PyPi:: https://pypi.org/project/lightgbm/
Documentation:: https://lightgbm.readthedocs.io/en/latest/
GitHub Repo:: https://github.com/microsoft/LightGBM

Classifiers

Scientific/Engineering/Artificial Intelligence

No lightgbm pypi packages just yet.

Errors

A list of common lightgbm errors.

Code Examples

Here are some lightgbm code examples and snippets.

GitHub Issues

The lightgbm package has 392 open issues on GitHub

Pass train dataset parser config to valid dataset loading parser
Use delete[] where appropriate instead of delete
delete incorrectly applied on some allocations from new[]
[R-package] Add missing prediction functions to R interface
[python-package] Custom multiclass loss function doesn't work
LGBM_BoosterPredictForCSRSingleRowFastInit behavior differs from documentation
Correct documentation for sparse predictions
[tests][python] remove compatibility code for old versions in tests
[R-package] Keep row names in output from predict
[R-package] Promote objective and init_score to top-level arguments in lightgbm()
[R-package] Rename weight -> weights
[R-package] Do not produce a model file in disk by default
[R-package] Rename data -> newdata in predict
[R-package] Promote number of threads to top-level argument in lightgbm() and make default match with Python's
[R-package] Change default for reshape argument in predict