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Scikit-learn Maintenance and Enhancement for Gradient Boosting

Legacy EOSS

2019

Proposal Summary

To improve the open-source machine learning library scikit-learn and aid in maintaining the project, while considering the new implementation of Gradient boosting.


scikit-learn

scikit-learn is a Python library for machine learning built on top of SciPy and NumPy and distributed under the 3-Clause BSD license. scikit-learn contains models for supervised and unsupervised learning, as well as tools for preprocessing, model selection and evaluation. It has found wide adoption in research across domains, both in industry and academia, as well as in machine learning applications. It has emerged as one of the go-to solutions for machine learning in the data science community.

Project Team

Andreas Mueller Github

Columbia University

Nicolas Hug Github

Columbia University