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Data · dataset · 2024

Python functions -- cross-validation methods from a data-driven perspective

Listed in DANS Data Station Physical and Technical Sciences

This is the organized python functions of proposed methods in Yanwen Wang PhD research.

Description

Researchers can directly use these functions to conduct spatial+ cross-validation, dissimilarity quantification method, and dissimilarity-adaptive cross-validation.

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Where it is published

Catalogue records · 1

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Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
DANS Data Station Physical and Technical Sciencesdoi:10.17026/PT/TXAU9W13 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].dataverse_subject:earth-and-environmental-sciencessource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/subjects
concepts[field].local:field:computer-science-aimapping · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/subjects
concepts[field].local:field:earth-environmentalmapping · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/subjects
created_datesource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0
descriptionsource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/description
publication_datesource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0
titlesource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/name
updated_datesource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0
version_labelsource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0