Metadata-Version: 2.4
Name: digital_twinning
Version: 0.1.0
Summary: A comprehensive package for digital twin model updating and predictive modeling using machine learning and uncertainty quantification techniques
Home-page: https://github.com/TRACE-Structures/digital_twinning/
Author: András Urbanics, Áron Friedman, Bence Popovics, Emese Vastag, Noémi Friedman
Author-email: popbence@hun-ren.sztaki.hu
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 3 - Alpha
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: asyncio
Requires-Dist: catboost
Requires-Dist: emcee
Requires-Dist: gPCE_model
Requires-Dist: IPython
Requires-Dist: lightgbm
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: plotly
Requires-Dist: SALib
Requires-Dist: scipy
Requires-Dist: seaborn
Requires-Dist: shap
Requires-Dist: scikit-learn
Requires-Dist: torch
Requires-Dist: uncertain_variables
Requires-Dist: xgboost
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# digital_twinning
