Download
ngboost is a Python library that implements Natural Gradient Boosting, as described in "NGBoost: Natural Gradient Boosting for Probabilistic Prediction". It is built on top of Scikit-Learn and is designed to be scalable and modular with respect to the choice of proper scoring rule, distribution, and base learner. A didactic introduction to the methodology underlying NGBoost is available in this slide deck.
Features
- Natural Gradient Boosting for Probabilistic Prediction
- Probabilistic regression examples
- Documentation available
- Details on available distributions, scoring rules, learners, tuning, and model interpretation
- Licensed under the Apache License
Project Samples
Categories
Machine LearningLicense
Apache License V2.0Follow NGBoost
Other Useful Business Software
MongoDB Atlas runs apps anywhere
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of NGBoost!
