
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)
# }
Run the code above in your browser using DataLab