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Author:
None
License:
MIT
Summary:
Counterfactual Residual Data Augmentation for Regression - A novel data augmentation methodology that improves regression model performance through residual-guided feature perturbation
Latest version:
1.0.2
Required dependencies:
hyppo
|
joblib
|
numpy
|
optuna
|
pandas
|
scikit-learn
|
scipy
|
torch
Optional dependencies:
black
|
flake8
|
isort
|
mypy
|
myst-parser
|
pytest
|
pytest-cov
|
sphinx
|
sphinx-rtd-theme
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