|
gptkbp:instanceOf
|
open science platform
online machine learning platform
|
|
gptkbp:citation
|
Joaquin Vanschoren et al., OpenML: networked science in machine learning, SIGKDD Explorations, 2014
|
|
gptkbp:containsCommunity
|
global
|
|
gptkbp:firstReleased
|
2013
|
|
gptkbp:foundedBy
|
gptkb:Bernd_Bischl
gptkb:Geoffrey_Holmes
gptkb:Jan_N._van_Rijn
gptkb:Joaquin_Vanschoren
|
|
gptkbp:hasDatasetCount
|
thousands
|
|
gptkbp:hasFeature
|
leaderboards
data versioning
experiment reproducibility
benchmark suites
dataset repository
flow repository
run repository
task repository
|
|
gptkbp:hasFlowCount
|
thousands
|
|
gptkbp:hasRunCount
|
hundreds of thousands
|
|
gptkbp:hasTaskCount
|
thousands
|
|
gptkbp:headquartersLocation
|
gptkb:Eindhoven_University_of_Technology
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
OpenML
|
|
gptkbp:integratesWith
|
gptkb:WEKA
gptkb:MOA
gptkb:scikit-learn
AutoML frameworks
mlr
|
|
gptkbp:license
|
gptkb:MIT_License
|
|
gptkbp:openSource
|
true
|
|
gptkbp:purpose
|
collaborative machine learning research
sharing machine learning datasets
sharing machine learning experiments
sharing machine learning models
|
|
gptkbp:supportedBy
|
gptkb:REST_API
Python API
R API
|
|
gptkbp:supportsLanguage
|
gptkb:WEKA
gptkb:Java
gptkb:Python
gptkb:MOA
gptkb:scikit-learn
R
mlr
|
|
gptkbp:usedBy
|
educators
students
data scientists
machine learning researchers
|
|
gptkbp:website
|
https://www.openml.org/
|
|
gptkbp:bfsParent
|
gptkb:The_Arcadia_Fund
gptkb:Hugs
gptkb:PyData_ecosystem
gptkb:Linux_Foundation_AI_&_Data_Foundation
|
|
gptkbp:bfsLayer
|
6
|