ThomasWong2022/thor-public
AutoML tools for solving Time-Varying High-Dimensional Ordinal Regression Problems
THOR helps data scientists and machine learning engineers build more accurate predictive models from complex, time-based datasets. It takes your tabular data or time series, especially if it's high-dimensional or experiences shifts over time, and outputs robust machine learning models. This tool is for those who need to predict ordered outcomes where data patterns change.
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Use this if you are working with time-dependent tabular data or time series where the relationships between variables evolve, and you need to predict outcomes with an inherent order (like low, medium, high).
Not ideal if your data is static, does not change over time, or if your prediction task involves simple classification or regression without an ordinal structure.
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16
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4
Language
Python
License
MIT
Category
Last pushed
Sep 28, 2023
Commits (30d)
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