mlr: getBMRPredictions – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

getBMRPredictions

Extract the predictions from a benchmark result.

Description

Either a list of lists of ResamplePrediction objects, as returned by resample, or these objects are rbind-ed with extra columns “task.id” and “learner.id”.

If predict.type is “prob”, the probabilities for each class are returned in addition to the response.

If keep.pred is FALSE in the call to benchmark, the function will return NULL.

Usage

getBMRPredictions(
  bmr,
  task.ids = NULL,
  learner.ids = NULL,
  as.df = FALSE,
  drop = FALSE
)

Arguments

`bmr`	(BenchmarkResult) Benchmark result.
`task.ids`	(`character(1)`) Restrict result to certain tasks. Default is all.
`learner.ids`	(`character(1)`) Restrict result to certain learners. Default is all.
`as.df`	(`character(1)`) Return one data.frame as result - or a list of lists of objects?. Default is `FALSE`.
`drop`	(`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.

Value

(list | data.frame). See above.

Other benchmark: BenchmarkResult, batchmark(), benchmark(), convertBMRToRankMatrix(), friedmanPostHocTestBMR(), friedmanTestBMR(), generateCritDifferencesData(), getBMRAggrPerformances(), getBMRFeatSelResults(), getBMRFilteredFeatures(), getBMRLearnerIds(), getBMRLearnerShortNames(), getBMRLearners(), getBMRMeasureIds(), getBMRMeasures(), getBMRModels(), getBMRPerformances(), getBMRTaskDescs(), getBMRTaskIds(), getBMRTuneResults(), plotBMRBoxplots(), plotBMRRanksAsBarChart(), plotBMRSummary(), plotCritDifferences(), reduceBatchmarkResults()

mlr

Machine Learning in R

v2.19.0

BSD_2_clause + file LICENSE

Authors

Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>), Lars Kotthoff [aut], Patrick Schratz [aut, cre] (<https://orcid.org/0000-0003-0748-6624>), Julia Schiffner [aut], Jakob Richter [aut], Zachary Jones [aut], Giuseppe Casalicchio [aut] (<https://orcid.org/0000-0001-5324-5966>), Mason Gallo [aut], Jakob Bossek [ctb] (<https://orcid.org/0000-0002-4121-4668>), Erich Studerus [ctb] (<https://orcid.org/0000-0003-4233-0182>), Leonard Judt [ctb], Tobias Kuehn [ctb], Pascal Kerschke [ctb] (<https://orcid.org/0000-0003-2862-1418>), Florian Fendt [ctb], Philipp Probst [ctb] (<https://orcid.org/0000-0001-8402-6790>), Xudong Sun [ctb] (<https://orcid.org/0000-0003-3269-2307>), Janek Thomas [ctb] (<https://orcid.org/0000-0003-4511-6245>), Bruno Vieira [ctb], Laura Beggel [ctb] (<https://orcid.org/0000-0002-8872-8535>), Quay Au [ctb] (<https://orcid.org/0000-0002-5252-8902>), Martin Binder [ctb], Florian Pfisterer [ctb], Stefan Coors [ctb], Steve Bronder [ctb], Alexander Engelhardt [ctb], Christoph Molnar [ctb], Annette Spooner [ctb]

Initial release

getBMRPredictions

Description

Usage

Arguments

Value

See Also

mlr

We don't support your browser anymore