ml_uncertainty: A Python module for estimating uncertainty in predictions of machine learning models

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.

Data e Risorse

Campo Valore
accessLevel public
bureauCode {006:55}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier ark:/88434/mds2-2120
issued 2020-01-21
landingPage https://data.nist.gov/od/id/mds2-2120
language {en}
license https://www.nist.gov/open/license
modified 2019-06-10 00:00:00
programCode {006:045}
publisher National Institute of Standards and Technology
references {https://doi.org/10.1007/s00216-018-1240-2,http://dx.doi.org/10.1080/1062936X.2016.1238010}
resource-type Dataset
source_datajson_identifier true
source_hash 51e39d4ee4cc0b81072dbfbc7225656f843e19a3
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theme {"Mathematics and Statistics:Uncertainty quantification","Mathematics and Statistics:Numerical methods and software","Information Technology:Data and informatics"}
Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • amerigeo
  • amerigeoss
  • ckan
  • geo
  • geoss
  • machine-learning
  • model-calibration
  • national
  • north-america
  • uncertainty-analysis
  • united-states
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer David Sheen
maintainer_email david.sheen@nist.gov
metadata_created 2025-11-21T04:45:49.430040
metadata_modified 2025-11-21T04:45:49.430044
notes 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.
num_resources 2
num_tags 11
title ml_uncertainty: A Python module for estimating uncertainty in predictions of machine learning models