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AdaSampling

An R implementation of the AdaSampling algorithm for positive unlabeled and label noise learning

Description

Implements the AdaSampling procedure, a framework for both positive unlabeled learning and learning with class label noise, which wraps around a traditional classifying algorithm. See our publication for details, documentation and examples.

Installation

There are two ways to install the package:

To install from CRAN [https://CRAN.R-project.org/package=AdaSampling]:

install.packages("AdaSampling")

To install from github, use:

devtools::install_github("PengyiYang/AdaSampling", build_vignettes = TRUE)
library(AdaSampling)

Current version of this package includes two functions:

In order to see demonstrations of these two functions, see:

browseVignettes("AdaSampling")

References

Acknowledgement

The initial github repo of the AdaSampling package was put together by Kukulege Dinuka Perera.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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