brushfire
A Scala framework for distributed supervised learning of decision tree ensemble models, inspired by Google's PLANET.
What is brushfire?
Brushfire is a Scala framework for distributed supervised learning of decision tree ensemble models. It enables training classifiers on large datasets by leveraging distributed computing platforms like Scalding and Hadoop, supporting features such as numeric and categorical inputs, cross-validation, and random forests.
Data engineers and machine learning practitioners working with large-scale datasets in Scala ecosystems, particularly those using Hadoop-based distributed processing.
Developers choose Brushfire for its extensible, type-safe design inspired by Google's PLANET, offering pluggable components and support for mixed feature types while running efficiently on distributed systems.
Overview
Distributed decision tree ensemble learning in Scala
Use Cases
Best For
- Building distributed classification models with decision tree ensembles
- Handling high-cardinality categorical features in large datasets
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
