LightGBM/examples/python-guide/dask
James Lamb 1b792e7166
[ci] [python-package] enable ruff-format on tests and examples (#6317)
2024-02-21 12:15:38 -06:00
..
README.md [dask] add tutorial documentation (fixes #3814, fixes #3838) (#4030) 2021-03-10 13:34:43 -06:00
binary-classification.py [ci] run Dask examples on CI (#4064) 2021-03-14 21:58:15 -05:00
multiclass-classification.py [ci] run Dask examples on CI (#4064) 2021-03-14 21:58:15 -05:00
prediction.py [ci] run Dask examples on CI (#4064) 2021-03-14 21:58:15 -05:00
ranking.py [ci] [python-package] enable ruff-format on tests and examples (#6317) 2024-02-21 12:15:38 -06:00
regression.py [ci] run Dask examples on CI (#4064) 2021-03-14 21:58:15 -05:00

README.md

Dask Examples

This directory contains examples of machine learning workflows with LightGBM and Dask.

Before running this code, see the installation instructions for the Dask-package.

After installing the package and its dependencies, any of the examples here can be run with a command like this:

python binary-classification.py

The examples listed below contain minimal code showing how to train LightGBM models using Dask.

Training

Prediction