R/BenchmarkResult_operators.R
Returns a nested list of FeatSelResults. The first level of nesting is by data set, the second by learner, the third for the benchmark resampling iterations. If as.df is TRUE, a data frame with “task.id”, “learner.id”, the resample iteration and the selected features is returned.
Note that if more than one feature is selected and a data frame is requested, there will be multiple rows for the same dataset-learner-iteration; one for each selected feature.
getBMRFeatSelResults(bmr, task.ids = NULL, learner.ids = NULL, as.df = FALSE, drop = FALSE)
| bmr | (BenchmarkResult) |
|---|---|
| task.ids | ( |
| learner.ids | ( |
| as.df | ( |
| drop | ( |
(list | data.frame). See above.
Other benchmark: BenchmarkResult,
batchmark, benchmark,
convertBMRToRankMatrix,
friedmanPostHocTestBMR,
friedmanTestBMR,
generateCritDifferencesData,
getBMRAggrPerformances,
getBMRFilteredFeatures,
getBMRLearnerIds,
getBMRLearnerShortNames,
getBMRLearners,
getBMRMeasureIds,
getBMRMeasures, getBMRModels,
getBMRPerformances,
getBMRPredictions,
getBMRTaskDescs,
getBMRTaskIds,
getBMRTuneResults,
plotBMRBoxplots,
plotBMRRanksAsBarChart,
plotBMRSummary,
plotCritDifferences,
reduceBatchmarkResults