Package: AdaSampling 1.3

AdaSampling: Adaptive Sampling for Positive Unlabeled and Label Noise Learning

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) <doi:10.1109/TCYB.2018.2816984>.

Authors:Pengyi Yang

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AdaSampling.pdf |AdaSampling.html✨
AdaSampling/json (API)

Peer review:

Bug tracker:https://github.com/pengyiyang/adasampling/issues

On CRAN:

4 exports 11 stars 1.82 score 75 dependencies 1 mentions 10 scripts 322 downloads

Last updated 5 years agofrom:c815f1bf8d. Checks:OK: 7. Indexed: yes.

Exports:adaSampleadaSvmBenchmarksingleIterweightedKNN

Dependencies:caretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcpprecipesreshape2rlangrpartscalesshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr