LightAutoML is an open-source Python library for automated machine learning (AutoML). Built on top of scikit-learn and PyTorch, it enables users to quickly create predictive models for tabular data with minimal manual intervention. LightAutoML automates tasks such as feature preprocessing, model selection, and hyperparameter tuning, making it suitable for both research and production applications.

Features of LightAutoML:

• Efficiently handles tabular datasets for classification and regression tasks.
• Automates feature preprocessing, model selection, and hyperparameter tuning.
• Supports both CPU and GPU computation for large-scale datasets.
• Modular and flexible design allows integration of custom models and pipelines.
• Lightweight, easy to install via pip, and integrates with other Python projects.
• Open-source, actively maintained, and widely used in AutoML workflows.

To check the installed LightAutoML version on your system, run:

 
# sudo su 
# sudo apt update
# cd /opt/lightautoml
# source venv/bin/activate
# python -c "import lightautoml; print(lightautoml.__version__)"

Disclaimer: LightAutoML is released under the Apache 2.0 License and maintained by the open-source community. Users are responsible for correct usage in their specific applications. The developers are not responsible for any consequences arising from its use. Always refer to the official LightAutoML documentation and GitHub repository for the most accurate and up-to-date information.