Introducing FLAML
FLAML (Fast and Lightweight AutoML) is a Python library developed by Microsoft Research [1]. It is designed to produce high-quality ML models with low computational cost automatically. The primary aim of FLAML is to minimize the resources required to tune hyperparameters and identify optimal ML models, making AutoML more accessible and cost-effective, particularly for users with budget constraints.
FLAML offers several key features that set it apart. One of these is its efficiency. It provides a fast and lightweight solution for ML tasks, minimizing the time and computational resources needed. It achieves this without compromising the quality of the models it produces. FLAML also emphasizes its versatility across various ML algorithms and various application domains.
The core of FLAML’s efficiency lies in its novel, cost-effective search algorithms. These algorithms intelligently explore the hyperparameter space, initially focusing on “cheap”...
