Flaml

FLAML (Fast Lightweight AutoML) is an open-source machine learning library developed by Microsoft that automates the process of selecting the best model and tuning hyperparameters. It is designed to deliver high performance with minimal computational cost, making it efficient for real-world AI and data science applications.

Features of FLAML:

• Automatically selects the best machine learning model for a dataset.
• Performs fast and efficient hyperparameter optimization.
• Lightweight and requires low computational resources.
• Supports multiple ML tasks such as classification, regression, and forecasting.
• Works well with popular libraries like scikit-learn, LightGBM, XGBoost, and PyTorch.

FLAML Usage Instructions:

$ sudo su
$ cd /opt/flaml_project
$ source venv/bin/activate
$ python3 -c "import flaml; print(flaml.__version__)"
    

Disclaimer: FLAML is an open-source software library released under the MIT License. It is developed by Microsoft and the open-source community. The software is provided "as is" without any warranties. Users are responsible for proper implementation and usage based on their project requirements.