StatMixedML/LightGBMLSS
An extension of LightGBM to probabilistic modelling
This tool helps data scientists and analysts create more comprehensive predictions by modeling the full range of possible outcomes, not just a single value. It takes in your existing dataset with features and a target variable, and outputs a complete probability distribution for the target, allowing you to understand uncertainty and derive prediction intervals. It is used by professionals who need detailed insights into the variability and likelihood of different future scenarios.
364 stars. Available on PyPI.
Use this if you need to understand the full range of potential outcomes and their probabilities, rather than just a single average prediction, for a given target variable.
Not ideal if you only require a simple point forecast without needing to quantify the uncertainty or explore the entire distribution of possible results.
Stars
364
Forks
34
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 11, 2025
Commits (30d)
0
Dependencies
9
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