Adaptive Sampling for Positive Unlabeled and Label Noise Learning

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Documentation for package ‘AdaSampling’ version 1.3

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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.