Each run has a setup.id, i.e. an ID for the hyperparameter settings of the flow that produced the run.
This function allows the listing of hyperparameter settings.
listOMLSetup(setup.id = NULL, flow.id = NULL, limit = 1000,
offset = NULL, verbosity = NULL)[integer(1)]
ID of the setup (which is basically an ID for the parameter configuration).
[integer(1)]
ID of the implementation of an OpenML flow.
[numeric(1)]
Optional. The maximum number of entries to return.
Without specifying offset, it returns the first 'limit' entries.
Setting limit = NULL returns all available entries.
[numeric(1)]
Optional. The offset to start from.
Should be indices starting from 0, which do not refer to IDs.
Is ignored when no limit is given.
[integer(1)]
Print verbose output on console? Possible values are:
0: normal output,
1: info output,
2: debug output.
Default is set via setOMLConfig.
[data.frame].
Other listing functions: chunkOMLlist,
listOMLDataSetQualities,
listOMLDataSets,
listOMLEstimationProcedures,
listOMLEvaluationMeasures,
listOMLFlows, listOMLRuns,
listOMLStudies,
listOMLTaskTypes,
listOMLTasks
# NOT RUN {
listOMLSetup(limit = 1)
# }
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