R: Adaptive Sampling for Positive Unlabeled and Label Noise Learning

# Adaptive Sampling for Positive Unlabeled and Label Noise Learning

## Documentation for package ‘AdaSampling’ version 1.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

adaSample | Implementation of AdaSampling for positive unlabelled and label noise learning.
adaSvmBenchmark | Benchmarking AdaSampling efficacy on noisy labelled data.
brca | Wisconsin Breast Cancer Database (1991)
singleIter | 'singleIter()' applies a single iteraction of AdaSampling procedure. It returns the probabilities of all samples as being a positive (P) or negative (N) instance, as a two column data frame.
weightedKNN | Implementation of a feature weighted k-nearest neighbour classifier.