StatMixedML/XGBoostLSS
An extension of XGBoost to probabilistic modelling
This tool helps data scientists and analysts make more robust predictions by forecasting the full range of possible outcomes, not just a single value. It takes in your dataset with various features and outputs not only a prediction, but also the likelihood of different potential results, including prediction intervals and quantiles. This is ideal for professionals who need to understand the uncertainty and risk associated with their forecasts.
694 stars. Available on PyPI.
Use this if you need to understand the full spectrum of potential future outcomes and their probabilities, rather than just a single point estimate, for your predictive models.
Not ideal if you only need simple, single-point predictions and are not concerned with the uncertainty or distribution of outcomes.
Stars
694
Forks
76
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 11, 2025
Commits (30d)
0
Dependencies
9
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