NoiseEstimator
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 version 1.1.
1 maintainer
Metadata
1 maintainer
Release files for noiseestimator 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| noiseestimator-0.0.1.tar.gz | 9.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| noiseestimator-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.0 kB
Release files / noiseestimator-0.0.1.tar.gz
| Download URL | noiseestimator-0.0.1.tar.gz |
|---|---|
| Size | 9.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.9.19
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Release files / noiseestimator-0.0.1-py3-none-any.whl
| Download URL | noiseestimator-0.0.1-py3-none-any.whl |
|---|---|
| Size | 7.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.9.19
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