@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://data.amerigeoss.org/dataset/3f28bc37-1481-45cb-92a8-5efee1579ca5> a dcat:Dataset ;
    dct: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." ;
    dct:identifier "ark:/88434/mds2-2120" ;
    dct:issued "2020-01-21"^^xsd:date ;
    dct:language "{en}" ;
    dct:modified "2019-06-10T00:00:00"^^xsd:dateTime ;
    dct:publisher <https://data.amerigeoss.org/organization/727dbdd5-3f98-4ac0-9d28-5e344558139b> ;
    dct:title "ml_uncertainty: A Python module for estimating uncertainty in predictions of machine learning models" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "David Sheen" ;
            vcard:hasEmail <mailto:david.sheen@nist.gov> ] ;
    dcat:distribution <https://data.amerigeoss.org/dataset/3f28bc37-1481-45cb-92a8-5efee1579ca5/resource/5b6a1637-709f-4bb5-b17f-0d7506784dbe>,
        <https://data.amerigeoss.org/dataset/3f28bc37-1481-45cb-92a8-5efee1579ca5/resource/cd5411ec-4761-4afb-abe4-b3d7225e7857> ;
    dcat:keyword "amerigeo",
        "amerigeoss",
        "ckan",
        "geo",
        "geoss",
        "machine-learning",
        "model-calibration",
        "national",
        "north-america",
        "uncertainty-analysis",
        "united-states" ;
    dcat:theme <%22Information%20Technology:Data%20and%20informatics%22%7D>,
        <%22Mathematics%20and%20Statistics:Numerical%20methods%20and%20software%22>,
        <%7B%22Mathematics%20and%20Statistics:Uncertainty%20quantification%22> .

<https://data.amerigeoss.org/dataset/3f28bc37-1481-45cb-92a8-5efee1579ca5/resource/5b6a1637-709f-4bb5-b17f-0d7506784dbe> a dcat:Distribution ;
    dct:issued "2022-08-07T18:15:56.485053"^^xsd:dateTime ;
    dct:modified "2025-11-21T04:45:49.422769"^^xsd:dateTime ;
    dct:title "DOI Access for ml_uncertainty: A Python module for estimating uncertainty in predictions of machine learning models" ;
    dcat:accessURL <https://doi.org/10.18434/M32120> .

<https://data.amerigeoss.org/dataset/3f28bc37-1481-45cb-92a8-5efee1579ca5/resource/cd5411ec-4761-4afb-abe4-b3d7225e7857> a dcat:Distribution ;
    dct: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." ;
    dct:format "Python scripts and Jupyter notebooks" ;
    dct:issued "2022-08-07T18:15:56.485046"^^xsd:dateTime ;
    dct:modified "2025-11-21T04:45:49.422348"^^xsd:dateTime ;
    dct:title "Machine Learning Uncertainty Estimation Toolbox" ;
    dcat:accessURL <https://pages.nist.gov/ml_uncertainty_py/> .

<https://data.amerigeoss.org/organization/727dbdd5-3f98-4ac0-9d28-5e344558139b> a foaf:Agent ;
    foaf:name "US Migrating" .