Metadata-Version: 2.1
Name: uncertainty-estimation-models
Version: 0.1.0
Summary: This is the main library for the uncertainty estimation project.
Author: Jonas Flor, Florian Günther, Sándor Daróczi, Slava Kisilevich
Requires-Python: >=3.8,<4.0
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Dist: MAPIE (==0.5.0)
Requires-Dist: gluonts (==0.11.8)
Requires-Dist: lightgbm (==3.3.2)
Requires-Dist: ngboost (==0.3.13); python_full_version >= "3.7.1" and python_version < "3.11"
Requires-Dist: numba (==0.56.4)
Requires-Dist: numpy (==1.21.2); python_version >= "3.8" and python_version < "3.11"
Requires-Dist: pandas (==1.3.5)
Requires-Dist: pgbm (==1.8.0)
Requires-Dist: properscoring (==0.1)
Requires-Dist: pytorch-forecasting (==0.10.3); python_version >= "3.8" and python_version < "3.11"
Requires-Dist: pytorch_lightning (==1.8.4)
Requires-Dist: scikit-learn (==1.0.2)
Requires-Dist: scipy (==1.8.0); python_version >= "3.8" and python_version < "3.11"
Requires-Dist: torch (==1.13.1)
Requires-Dist: xgboost (==1.6.2)
Description-Content-Type: text/markdown

# Introduction 
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# Getting Started
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1.	Installation process
2.	Software dependencies
3.	Latest releases
4.	API references

# Build and Test
TODO: Describe and show how to build your code and run the tests. 

# Contribute
TODO: Explain how other users and developers can contribute to make your code better. 

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