PaoloGiordani/SMARTboost.jl
SMARTboost (boosting of smooth symmetric regression trees)
This tool helps financial analysts or quantitative researchers predict a continuous outcome (like stock returns or market volatility) using a collection of input data. You provide numerical or tabular data, and it outputs a model that can make smooth, additive predictions. It's designed for someone working with time-series or panel data who needs robust forecasting.
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Use this if you need to predict a continuous numerical value from tabular data, especially when dealing with time-series or panel data and require a robust, interpretable model.
Not ideal if your data includes missing values, categorical features, or if you need to model highly irregular functions or non-Gaussian outcomes, as HTBoost (the successor) handles these much more effectively.
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Julia
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MIT
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Last pushed
Feb 12, 2025
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