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Author:
Joshua Vernazza
License:
MIT
Summary:
Non-crossing quantile regression toolkit with joint multi-quantile fitting, inference, conformal calibration, and evaluation. Scikit-learn compatible.
Latest version:
0.4.2
Required dependencies:
joblib
|
numpy
|
ortools
|
pandas
|
scikit-learn
|
scipy
|
tqdm
Optional dependencies:
matplotlib
|
patsy
|
pytest
|
statsmodels
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