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AdaSampling  

Adaptive Sampling for Positive Unlabeled and Label Noise Learning
View on CRAN: Click here


Download and install AdaSampling package within the R console
Install from CRAN:
install.packages("AdaSampling")

Install from Github:
library("remotes")
install_github("cran/AdaSampling")

Install by package version:
library("remotes")
install_version("AdaSampling", "1.3")



Attach the package and use:
library("AdaSampling")
Maintained by
Pengyi Yang
[Scholar Profile | Author Map]
First Published: 2018-06-04
Latest Update: 2019-05-21
Description:
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) .
How to cite:
Pengyi Yang (2018). AdaSampling: Adaptive Sampling for Positive Unlabeled and Label Noise Learning. R package version 1.3, https://cran.r-project.org/web/packages/AdaSampling. Accessed 06 Apr. 2025.
Previous versions and publish date:
1.0 (2018-06-04 11:19), 1.1 (2018-06-27 17:45)
Other packages that cited AdaSampling R package
View AdaSampling citation profile
Other R packages that AdaSampling depends, imports, suggests or enhances
Complete documentation for AdaSampling
Functions, R codes and Examples using the AdaSampling R package
Some associated functions: adaSample . adaSvmBenchmark . brca . singleIter . weightedKNN . 
Some associated R codes: adaSample.R . adaSvmBenchmark.R . data.R . singleIter.R . weightedKNN.R .  Full AdaSampling package functions and examples
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