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.

Resources

Name Format Description Link
0 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. https://pages.nist.gov/ml_uncertainty_py/
0 https://doi.org/10.18434/M32120

Tags

  • model-calibration
  • uncertainty-analysis
  • machine-learning

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