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A toolbox for estimating uncertainty in machine learning predictions

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Machine Learning Uncertainty Estimation Toolbox

David A. Sheen

National Institute of Standards and Technology

Last Revision |today|

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Welcome to the home page for the Machine Learning Uncertainty Toolbox. 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.

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This software is subject to the NIST Software License (revised as of August 2018).

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David Sheen

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NIST GitHub Organization

NIST MetQual program

NIST Chemical Informatics Research Group

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