Package: mlr3inferr 0.2.0.9000

Sebastian Fischer

mlr3inferr: Inference on the Generalization Error

Confidence interval and resampling methods for inference on the generalization error.

Authors:Sebastian Fischer [cre, aut], Hannah Schulz-Kümpel [aut]

mlr3inferr_0.2.0.9000.tar.gz
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manual.pdf |manual.html✨
card.svg |card.png
mlr3inferr/json (API)
NEWS

# Install 'mlr3inferr' in R:
install.packages('mlr3inferr', repos = c('https://mlr-org.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mlr-org/mlr3inferr/issues

Pkgdown/docs site:https://mlr3inferr.mlr-org.com

On CRAN:

Conda:

machine-learningstatistics

5.37 score 5 stars 2 packages 6 scripts 5.2k downloads 9 exports 26 dependencies

Last updated from:18a5299056 (on v0.2.1). Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE214
source / vignettesOK177
linux-release-x86_64NOTE214
macos-release-arm64NOTE190
macos-oldrel-arm64NOTE170
windows-develNOTE313
windows-releaseNOTE263
windows-oldrelNOTE172
wasm-releaseOK101

Exports:MeasureAbstractCiMeasureCiMeasureCiConZMeasureCiCorrectedTMeasureCiHoldoutMeasureCiNestedCVMeasureCiWaldCVResamplingNestedCVResamplingPairedSubsampling

Dependencies:backportscheckmateclicodetoolsdata.tabledigestevaluatefuturefuture.applyglobalslgrlistenvmiraimlbenchmlr3mlr3measuresmlr3miscnanonextpalmerpenguinsparadoxparallellyPRROCR6rlanguuidwithr

Readme and manuals

Help Manual

Help pageTopics
mlr3inferr: Inference on the Generalization Errormlr3inferr-package mlr3inferr
Abstract Class for Confidence IntervalsMeasureAbstractCi mlr_measures_abstract_ci
Default CI MethodMeasureCi mlr_measures_ci
Conservative-Z CIMeasureCiConZ mlr_measures_ci.con_z
Corrected-T CIMeasureCiCorrectedT mlr_measures_ci.cor_t
Holdout CIMeasureCiHoldout mlr_measures_ci.holdout
Nested CV CIMeasureCiNestedCV mlr_measures_ci.ncv
Cross-Validation CIMeasureCiWaldCV mlr_measures_ci.wald_cv
Nested Cross-Validationmlr_resamplings_ncv ResamplingNestedCV
Paired Subsamplingmlr_resamplings_paired_subsampling ResamplingPairedSubsampling