ModularML
Welcome to the ModularML documentation!
ModularML is a flexible, backend-agnostic machine learning framework for designing, training, and evaluating modular ML pipelines, tailored specifically for research and scientific workflows. It enables rapid experimentation with complex model architectures, supports domain-specific feature engineering, and provides full reproducibility through configuration-driven declaration.
Installation
pip install modularml
Quick start
import modularml
print(modularml.__version__)