Resampling Algorithms for Multi-Label Datasets
Overview
Collection of the state of the art multi-label resampling algorithms. The objective of these algorithms is to achieve balance in multi-label datasets.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- WARNING12 OK, 1 WARNING2026-06-07
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- OK14 OK2026-03-10
Documentation
- Help pages
- 32
- Examples that run
- 89%8 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 60%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing mldr.resampling adds 42 packages (24 with compiled code, 40 MB of source tarballs). Heaviest: data.table 5.7 MB, bslib 5.6 MB, promises 3.1 MB.
CRAN will archive these unless their check problems are fixed by the date shown. This package needs each one to install.
- mldrfix by Nov 2
Code & Tests
People & History
Package metadata
- First published
- 2023-04-21
- Total releases
- 4 / 3 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 20 KB
Cite
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