CRAN/E | AdaSampling

AdaSampling

Adaptive Sampling for Positive Unlabeled and Label Noise Learning

Installation

About

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.

github.com/PengyiYang/AdaSampling/
Bug report File report

Key Metrics

Version 1.3
R ≥ 3.4.0
Published 2019-05-21 1802 days ago
Needs compilation? no
License GPL-3
CRAN checks AdaSampling results

Downloads

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Maintainer

Maintainer

Pengyi Yang

yangpy7@gmail.com

Authors

Pengyi Yang

Material

README
Reference manual
Package source

Vignettes

Breast cancer classification with AdaSampling

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

AdaSampling archive

Depends

R ≥ 3.4.0

Imports

caret ≥ 6.0-78
class ≥ 7.3-14
e1071 ≥ 1.6-8
stats
MASS

Suggests

knitr
rmarkdown