Package: OOBCurve 0.3

OOBCurve: Out of Bag Learning Curve

Provides functions to calculate the out-of-bag learning curve for random forests for any measure that is available in the 'mlr' package. Supported random forest packages are 'randomForest' and 'ranger' and trained models of these packages with the train function of 'mlr'. The main function is OOBCurve() that calculates the out-of-bag curve depending on the number of trees. With the OOBCurvePars() function out-of-bag curves can also be calculated for 'mtry', 'sample.fraction' and 'min.node.size' for the 'ranger' package.

Authors:Philipp Probst [aut, cre]

OOBCurve_0.3.tar.gz
OOBCurve_0.3.zip(r-4.7-any)OOBCurve_0.3.zip(r-4.6-any)OOBCurve_0.3.zip(r-4.5-any)
OOBCurve_0.3.tgz(r-4.6-any)OOBCurve_0.3.tgz(r-4.5-any)
OOBCurve_0.3.tar.gz(r-4.7-any)OOBCurve_0.3.tar.gz(r-4.6-any)
OOBCurve_0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
OOBCurve/json (API)

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

Bug tracker:https://github.com/philipppro/oobcurve/issues

On CRAN:

Conda:

3.77 score 9 stars 13 scripts 287 downloads 2 exports 34 dependencies

Last updated from:31060b70d4. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE212
source / vignettesOK240
linux-releaseNOTE212
macos-releaseNOTE177
macos-oldrelNOTE200
windows-develNOTE107
windows-releaseNOTE87
windows-oldrelNOTE97
wasm-releaseOK163

Exports:OOBCurveOOBCurvePars

Dependencies:backportsBBmisccheckmateclicpp11data.tablefarverfastmatchggplot2gluegtableisobandlabelinglatticelifecycleMatrixmlrparallelMapParamHelpersR6randomForestrangerRColorBrewerRcppRcppEigenrlangS7scalesstringisurvivalvctrsviridisLitewithrXML