runTaskFlow {OpenML} | R Documentation |
Reproduce the Run
Description
Uses the ID of the run and tries to reproduce its results by downloading the flow and applying it to the respective task.
Usage
runTaskFlow(
task,
flow,
par.list,
seed = 1,
predict.type = NULL,
verbosity = NULL,
models = TRUE
)
Arguments
task |
[OMLTask ]
An OpenML task.
|
flow |
[OMLFlow ]
Flow that is applied to the Task.
|
par.list |
[list |OMLRunParList ]
Can be either a named list containing the hyperparameter values or a OMLRunParList .
|
seed |
[numeric(1) |OMLSeedParList ]
Set a seed to make the run reproducible.
Default is 1 and sets the seed using set.seed(1) .
|
predict.type |
[character(1)]
Optional. See setPredictType .
Default is "response".
|
verbosity |
[integer(1) ]
Print verbose output on console? Possible values are:
0 : normal output,
1 : info output,
2 : debug output.
Default is set via setOMLConfig .
|
models |
[logical(1) ]
This argument is passed to benchmark .
Should all fitted models be stored in the ResampleResult ?
Default is TRUE .
|
Value
[OMLMlrRun
], an OMLRun
.
[Package
OpenML version 1.12
Index]