BayesValidRox 2.1.0

DOI

BayesValidRox is an open-source python package that provides methods for surrogate modeling, Bayesian inference and model comparison. Release 2.1.0 streamlines the sequential training of metamodels, and updates the metamodel validation and postprocessing functionalities.

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Identifier
DOI https://doi.org/10.18419/DARUS-5323
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/DARUS-5323
Provenance
Creator Kohlhaas, Rebecca ORCID logo; Morales Oreamuno, Maria Fernanda ORCID logo; Lacheim, Alina ORCID logo
Publisher DaRUS
Contributor Kohlhaas, Rebecca; LH2_RDM
Publication Year 2025
Funding Reference DFG 327154368 - SFB 1313 ; DFG EXC 2075 - 390740016 ; Bundesgesellschaft für Entlagerung
Rights MIT License; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/MIT.html
OpenAccess true
Contact Kohlhaas, Rebecca (University of Stuttgart); LH2_RDM (University of Stuttgart)
Representation
Resource Type Dataset
Format application/x-gzip
Size 151075
Version 1.0
Discipline Computer Science; Computer Science, Electrical and System Engineering; Construction Engineering and Architecture; Engineering; Engineering Sciences