Metadata-Version: 2.1
Name: noiseestimator
Version: 0.0.1
Summary: Estimate maximum performance bounds based on experimental errors for ML datasets
Author-email: Daniel Crusius <daniel.crusius@univ.ox.ac.uk>
License: MIT
Project-URL: Source, https://github.com/d-cru/noiseestimator/
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy >=1.21
Requires-Dist: pandas >=1.3
Requires-Dist: seaborn >=0.11
Requires-Dist: scikit-learn >=1.0
Requires-Dist: scipy >=1.7
Requires-Dist: importlib-resources ; python_version < "3.10"
Provides-Extra: test
Requires-Dist: pytest >=6.1.2 ; extra == 'test'
Requires-Dist: pytest-runner ; extra == 'test'

NoiseEstimator
==============================
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# Noise estimation of ML datasets in chemistry

Estimate maximum performance bounds based on experimental errors for ML datasets

### Copyright

Copyright (c) 2024, Daniel Crusius


#### Acknowledgements
 
Project based on the 
[Computational Molecular Science Python Cookiecutter](https://github.com/molssi/cookiecutter-cms) version 1.1.
