Package: AdaSampling 1.3

AdaSampling: Adaptive Sampling for Positive Unlabeled and Label Noise Learning

Implements the adaptive sampling procedure, a framework for both positive unlabeled learning and learning with class label noise. Yang, P., Ormerod, J., Liu, W., Ma, C., Zomaya, A., Yang, J. (2018) <doi:10.1109/TCYB.2018.2816984>.

Authors:Pengyi Yang

AdaSampling_1.3.tar.gz
AdaSampling_1.3.zip(r-4.7)AdaSampling_1.3.zip(r-4.6)AdaSampling_1.3.zip(r-4.5)
AdaSampling_1.3.tgz(r-4.6-any)AdaSampling_1.3.tgz(r-4.5-any)
AdaSampling_1.3.tar.gz(r-4.7-any)AdaSampling_1.3.tar.gz(r-4.6-any)
AdaSampling_1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
AdaSampling/json (API)

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

Bug tracker:https://github.com/pengyiyang/adasampling/issues

Datasets:
  • brca - Wisconsin Breast Cancer Database

On CRAN:

Conda:

5.04 score 10 stars 11 scripts 273 downloads 1 mentions 4 exports 73 dependencies

Last updated from:c815f1bf8d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK183
source / vignettesOK269
linux-release-x86_64OK177
macos-release-arm64OK124
macos-oldrel-arm64OK125
windows-develOK129
windows-releaseOK138
windows-oldrelOK112
wasm-releaseOK116

Exports:adaSampleadaSvmBenchmarksingleIterweightedKNN

Dependencies:caretclasscliclockcodetoolscpp11data.tablediagramdigestdplyre1071farverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixModelMetricsnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcpprecipesreshape2rlangrpartS7scalesshapesparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr

Breast cancer classification with AdaSampling

Pengyi Yang (original version by Dinuka Perera)

Rendered fromvignette.Rmdusingknitr::rmarkdownon May 08 2026.

Last update: 2018-06-10
Started: 2018-05-31