A list of lists containing all WrappedModels trained in the benchmark experiment.
If models is FALSE in the call to benchmark, the function will return NULL.
getBMRModels(bmr, task.ids = NULL, learner.ids = NULL, drop = FALSE)(BenchmarkResult) Benchmark result.
(character(1))
Restrict result to certain tasks.
Default is all.
(character(1))
Restrict result to certain learners.
Default is all.
(logical(1))
If drop is FALSE (the default), a nested list with
the following structure is returned:
res[task.ids][learner.ids].
If drop is set to TRUE it is checked if the list
structure can be simplified.
If only one learner was passed, a list with entries
for each task is returned.
If only one task was passed, the entries are named after
the corresponding learner.
For an experiment with both one task and learner,
the whole list structure is removed.
Note that the name of the
task/learner will be dropped from the return object.
(list).
Other benchmark:
BenchmarkResult,
batchmark(),
benchmark(),
convertBMRToRankMatrix(),
friedmanPostHocTestBMR(),
friedmanTestBMR(),
generateCritDifferencesData(),
getBMRAggrPerformances(),
getBMRFeatSelResults(),
getBMRFilteredFeatures(),
getBMRLearnerIds(),
getBMRLearnerShortNames(),
getBMRLearners(),
getBMRMeasureIds(),
getBMRMeasures(),
getBMRPerformances(),
getBMRPredictions(),
getBMRTaskDescs(),
getBMRTaskIds(),
getBMRTuneResults(),
plotBMRBoxplots(),
plotBMRRanksAsBarChart(),
plotBMRSummary(),
plotCritDifferences(),
reduceBatchmarkResults()