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.

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.