R: Reduce results of a batch-distributed benchmark.

reduceBatchmarkResults {mlr} | R Documentation

## Reduce results of a batch-distributed benchmark.

### Description

This creates a BenchmarkResult from a batchtools::ExperimentRegistry. To setup the benchmark have a look at batchmark.

### Usage

    reduceBatchmarkResults(ids = NULL, keep.pred = TRUE,
      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 `pred` slot 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. In this case you can set this argument to `FALSE`. Default is `TRUE`.
`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.

### Value

(BenchmarkResult).

### 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`

[Package mlr version 2.13 Index]