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Author:
András Urbanics, Áron Friedman, Bence Popovics, Emese Vastag, Noémi Friedman
Summary:
A comprehensive package for digital twin model updating and predictive modeling using machine learning and uncertainty quantification techniques
Latest version:
1.1.0
Required dependencies:
asyncio
|
catboost
|
emcee
|
gpce-model
|
ipython
|
lightgbm
|
matplotlib
|
mosaictools
|
numpy
|
pandas
|
plotly
|
pyuff
|
salib
|
scikit-learn
|
scipy
|
seaborn
|
shap
|
torch
|
uncertain-variables
|
xgboost
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