Data provided by National Institute of Standards and Technology
This software is a Python module for estimating uncertainty in predictions of machine learning models. It is a Python package that calculates uncertainties in machine learning models using bootstrapping and residual bootstrapping. It is intended to interface with scikit-learn but any Python package that uses a similar interface should work.
About this Dataset
Updated: 2024-02-22
Metadata Last Updated:
2019-06-10 00:00:00
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| Title | ml_uncertainty: A Python module for estimating uncertainty in predictions of machine learning models |
|---|---|
| Description | This software is a Python module for estimating uncertainty in predictions of machine learning models. It is a Python package that calculates uncertainties in machine learning models using bootstrapping and residual bootstrapping. It is intended to interface with scikit-learn but any Python package that uses a similar interface should work. |
| Modified | 2019-06-10 00:00:00 |
| Publisher Name | National Institute of Standards and Technology |
| Contact | mailto:[email protected] |
| Keywords | uncertainty analysis , machine learning , model calibration |
{
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"fn": "David Sheen"
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"title": "ml_uncertainty: A Python module for estimating uncertainty in predictions of machine learning models",
"description": "This software is a Python module for estimating uncertainty in predictions of machine learning models. It is a Python package that calculates uncertainties in machine learning models using bootstrapping and residual bootstrapping. It is intended to interface with scikit-learn but any Python package that uses a similar interface should work.",
"language": [
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"accessURL": "https:\/\/pages.nist.gov\/ml_uncertainty_py\/",
"format": "Python scripts and Jupyter notebooks",
"description": "This software is a Python package that calculates uncertainties in machine learning models using bootstrapping and residual bootstrapping. It is intended to interface with scikit-learn but any Python package that uses a similar interface should work.",
"title": "Machine Learning Uncertainty Estimation Toolbox"
},
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"accessURL": "https:\/\/doi.org\/10.18434\/M32120",
"title": "DOI Access for ml_uncertainty: A Python module for estimating uncertainty in predictions of machine learning models"
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"theme": [
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"Mathematics and Statistics:Numerical methods and software",
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}
