LightGBM and LightGBMLSS
The second tool, LightGBMLSS, is a technical extension of the first, LightGBM, making them complements that can be used together, with LightGBMLSS building upon LightGBM's core capabilities for probabilistic modeling.
About LightGBM
lightgbm-org/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
LightGBM is a powerful tool for anyone building predictive models. It takes your raw data, learns patterns from it, and generates highly accurate predictions for tasks like ranking items, classifying customers, or forecasting trends. Data scientists and machine learning engineers use LightGBM to quickly develop high-performing models, even with very large datasets.
About LightGBMLSS
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.
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