@prefix ocrer: <http://purl.org/net/OCRe/research.owl#> .
@prefix owl:   <http://www.w3.org/2002/07/owl#> .
@prefix scires: <http://vivoweb.org/ontology/scientific-research#> .
@prefix xsd:   <http://www.w3.org/2001/XMLSchema#> .
@prefix skos:  <http://www.w3.org/2004/02/skos/core#> .
@prefix rdfs:  <http://www.w3.org/2000/01/rdf-schema#> .
@prefix ocresd: <http://purl.org/net/OCRe/study_design.owl#> .
@prefix swo:   <http://www.ebi.ac.uk/efo/swo/> .
@prefix cito:  <http://purl.org/spar/cito/> .
@prefix geo:   <http://aims.fao.org/aos/geopolitical.owl#> .
@prefix ocresst: <http://purl.org/net/OCRe/statistics.owl#> .
@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix vivo:  <http://vivoweb.org/ontology/core#> .
@prefix event: <http://purl.org/NET/c4dm/event.owl#> .
@prefix vann:  <http://purl.org/vocab/vann/> .
@prefix foaf:  <http://xmlns.com/foaf/0.1/> .
@prefix c4o:   <http://purl.org/spar/c4o/> .
@prefix fabio: <http://purl.org/spar/fabio/> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix thkoeln: <http://cris.nrw/hisinone#> .
@prefix vitro: <http://vitro.mannlib.cornell.edu/ns/vitro/0.7#> .
@prefix vitro-public: <http://vitro.mannlib.cornell.edu/ns/vitro/public#> .
@prefix rdf:   <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix ocresp: <http://purl.org/net/OCRe/study_protocol.owl#> .
@prefix bibo:  <http://purl.org/ontology/bibo/> .
@prefix obo:   <http://purl.obolibrary.org/obo/> .
@prefix ro:    <http://purl.obolibrary.org/obo/ro.owl#> .

obo:BFO_0000031  a  owl:Class ;
        rdfs:label  "Bedingter Kontinuant"@de-DE , "Generically Dependent Continuant"@en-US , "Generically Dependent Continuant"@en .

<https://fis.th-koeln.de/vivo/individual/FF_001>
        <http://cris.nrw/hisinone/istForschungsfeldvon>
                <https://fis.th-koeln.de/vivo/individual/publ_12789> .

<https://fis.th-koeln.de/vivo/individual/cite_12789-1>
        a       thkoeln:Zitat , owl:Thing .

<http://cris.nrw/hisinone/OpenAccess>
        a           <http://cris.nrw/hisinone/Zugangsrecht> , owl:NamedIndividual , owl:Thing ;
        rdfs:label  "Open Access"@en-US , "Open Access"@de-DE .

obo:BFO_0000002  a  owl:Class ;
        rdfs:label  "Kontinuant"@de-DE , "Continuant"@en-US , "Continuant"@en .

<http://cris.nrw/date2023>
        a       obo:BFO_0000003 , obo:BFO_0000008 , obo:BFO_0000001 , vivo:DateTimeValue , obo:BFO_0000148 , owl:Thing .

thkoeln:Artikel  a  owl:Class ;
        rdfs:label  "Artikel"@de-DE , "Article"@en-US .

<https://fis.th-koeln.de/vivo/individual/cite_12789-0>
        a       thkoeln:Zitat , owl:Thing .

obo:BFO_0000001  a  owl:Class ;
        rdfs:label  "Entität"@de-DE , "Entity"@en-US , "Entity"@en .

<http://cris.nrw/hisinone/RessourceText>
        a           owl:NamedIndividual , <http://cris.nrw/hisinone/ArtderRessource> , owl:Thing ;
        rdfs:label  "Text"@de-DE , "Text"@en-US .

bibo:Document  a    owl:Class ;
        rdfs:label  "Dokument"@de-DE , "Document"@en-US , "Document"@en .

<https://fis.th-koeln.de/vivo/individual/11000300>
        a           thkoeln:Organisationseinheit , foaf:Agent , obo:BFO_0000001 , obo:BFO_0000004 , obo:BFO_0000002 , foaf:Organization , owl:Thing ;
        rdfs:label  "Institut für Data Science, Engineering, and Analytics" ;
        <http://cris.nrw/hisinone/istOrganisationseinheitVon>
                <https://fis.th-koeln.de/vivo/individual/publ_12789> .

owl:Thing  a    owl:Class .

thkoeln:Journalartikel
        a           owl:Class ;
        rdfs:label  "Journal Article"@en-US , "Journalartikel"@de-DE .

obo:IAO_0000030  a  owl:Class ;
        rdfs:label  "Entität für Informationsinhalt"@de-DE , "Information Content Entity"@en-US , "Information Content Entity"@en .

<https://fis.th-koeln.de/vivo/individual/publ_12789>
        a                         owl:Thing , bibo:Document , thkoeln:Journalartikel , obo:IAO_0000030 , foaf:Document , obo:BFO_0000002 , obo:BFO_0000001 , obo:BFO_0000031 , thkoeln:Artikel , thkoeln:Publikation ;
        rdfs:label                "RDF description of Hyperparameter Tuning Cookbook - https://fis.th-koeln.de/vivo/individual/publ_12789" , "Hyperparameter Tuning Cookbook" ;
        thkoeln:dokumententyp     "Wissenschaftlicher Artikel" ;
        thkoeln:sprache           "englisch" ;
        thkoeln:status            "validiert" ;
        thkoeln:subtitle          "A Guide for Scikit-Learn, PyTorch, River, and SpotPython" ;
        <http://cris.nrw/hisinone/hatForschungsfeld>
                <https://fis.th-koeln.de/vivo/individual/FF_001> ;
        <http://cris.nrw/hisinone/hatOrganisationseinheit>
                <https://fis.th-koeln.de/vivo/individual/11000300> ;
        <http://cris.nrw/hisinone/hatRessourceart>
                <http://cris.nrw/hisinone/RessourceText> ;
        <http://cris.nrw/hisinone/hatZitat>
                <https://fis.th-koeln.de/vivo/individual/cite_12789-2> , <https://fis.th-koeln.de/vivo/individual/cite_12789-0> , <https://fis.th-koeln.de/vivo/individual/cite_12789-1> ;
        <http://cris.nrw/hisinone/hatZugangsrecht>
                <http://cris.nrw/hisinone/OpenAccess> ;
        <http://purl.org/dc/elements/1.1/date>
                "2026-04-03T22:16:58"^^xsd:dateTime ;
        <http://purl.org/dc/elements/1.1/publisher>
                <https://fis.th-koeln.de/vivo> ;
        <http://purl.org/dc/elements/1.1/rights>
                <https://fis.th-koeln.de/vivo/termsOfUse> ;
        bibo:abstract             "This document provides a comprehensive guide to hyperparameter tuning using spotPython for scikit-learn, PyTorch, and river. The first part introduces spotPython's surrogate model-based optimization process, while the second part focuses on hyperparameter tuning. Several case studies are presented, including hyperparameter tuning for sklearn models such as Support Vector Classification, Random Forests, Gradient Boosting (XGB), and K-nearest neighbors (KNN), as well as a Hoeffding Adaptive Tree Regressor from river. The integration of spotPython into the PyTorch and PyTorch Lightning training workflow is also discussed. With a hands-on approach and step-by-step explanations, this cookbook serves as a practical starting point for anyone interested in hyperparameter tuning with Python. Highlights include the interplay between Tensorboard, PyTorch Lightning, spotPython, and river. This publication is under development, with updates available on the corresponding webpage." ;
        bibo:doi                  "10.48550/arXiv.2307.10262" ;
        vitro:mostSpecificType    thkoeln:Journalartikel ;
        vivo:dateTimeValue        <http://cris.nrw/date2023> ;
        vivo:hasPublicationVenue  <https://fis.th-koeln.de/vivo/individual/journal_2914> ;
        vivo:relatedBy            <https://fis.th-koeln.de/vivo/individual/aut_12789-1> .

<https://fis.th-koeln.de/vivo/individual/aut_12789-1>
        a             obo:BFO_0000001 , obo:BFO_0000020 , vivo:Authorship , vivo:Relationship , obo:BFO_0000002 , owl:Thing ;
        vivo:relates  <https://fis.th-koeln.de/vivo/individual/publ_12789> .

<https://fis.th-koeln.de/vivo/individual/journal_2914>
        a                         obo:BFO_0000001 , bibo:Periodical , obo:IAO_0000030 , bibo:Journal , bibo:Collection , obo:BFO_0000031 , thkoeln:Zeitschrift , owl:Thing , obo:BFO_0000002 ;
        rdfs:label                "De.arXiv.org" ;
        vivo:publicationVenueFor  <https://fis.th-koeln.de/vivo/individual/publ_12789> .

<https://fis.th-koeln.de/vivo/individual/cite_12789-2>
        a       thkoeln:Zitat , owl:Thing .

thkoeln:Publikation  a  owl:Class ;
        rdfs:label  "Publikationen"@de-DE , "Publications"@en-US .