This creates a BenchmarkResult from a batchtools::ExperimentRegistry. To setup the benchmark have a look at batchmark.
Usage
reduceBatchmarkResults(
  ids = NULL,
  keep.pred = TRUE,
  keep.extract = FALSE,
  show.info = getMlrOption("show.info"),
  reg = batchtools::getDefaultRegistry()
)Arguments
- ids
- (data.frame or integer) 
 A base::data.frame (or data.table::data.table) with a column named “job.id”. Alternatively, you may also pass a vector of integerish job ids. If not set, defaults to all successfully terminated jobs (return value of batchtools::findDone.
- keep.pred
- ( - logical(1))
 Keep the prediction data in the- predslot of the result object. If you do many experiments (on larger data sets) these objects might unnecessarily increase object size / mem usage, if you do not really need them. The default is set to- TRUE.
- keep.extract
- ( - logical(1))
 Keep the- extractslot of the result object. When creating a lot of benchmark results with extensive tuning, the resulting R objects can become very large in size. That is why the tuning results stored in the- extractslot are removed by default (- keep.extract = FALSE). Note that when- keep.extract = FALSEyou will not be able to conduct analysis in the tuning results.
- show.info
- ( - logical(1))
 Print verbose output on console? Default is set via configureMlr.
- reg
- (batchtools::ExperimentRegistry) 
 Registry, created by batchtools::makeExperimentRegistry. If not explicitly passed, uses the last created registry.
See also
Other benchmark: 
BenchmarkResult,
batchmark(),
benchmark(),
convertBMRToRankMatrix(),
friedmanPostHocTestBMR(),
friedmanTestBMR(),
generateCritDifferencesData(),
getBMRAggrPerformances(),
getBMRFeatSelResults(),
getBMRFilteredFeatures(),
getBMRLearnerIds(),
getBMRLearnerShortNames(),
getBMRLearners(),
getBMRMeasureIds(),
getBMRMeasures(),
getBMRModels(),
getBMRPerformances(),
getBMRPredictions(),
getBMRTaskDescs(),
getBMRTaskIds(),
getBMRTuneResults(),
plotBMRBoxplots(),
plotBMRRanksAsBarChart(),
plotBMRSummary(),
plotCritDifferences()
