Package: mldr.datasets 0.4.2
mldr.datasets: R Ultimate Multilabel Dataset Repository
Large collection of multilabel datasets along with the functions needed to export them to several formats, to make partitions, and to obtain bibliographic information.
Authors:
mldr.datasets_0.4.2.tar.gz
mldr.datasets_0.4.2.zip(r-4.7)mldr.datasets_0.4.2.zip(r-4.6)mldr.datasets_0.4.2.zip(r-4.5)
mldr.datasets_0.4.2.tgz(r-4.6-any)mldr.datasets_0.4.2.tgz(r-4.5-any)
mldr.datasets_0.4.2.tar.gz(r-4.7-any)mldr.datasets_0.4.2.tar.gz(r-4.6-any)
mldr.datasets_0.4.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mldr.datasets/json (API)
| # Install 'mldr.datasets' in R: |
| install.packages('mldr.datasets', repos = c('https://fcharte.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fcharte/mldr.datasets/issues
- birds - Dataset with sounds produced by birds and the species they belong to
- cal500 - Dataset with music data along with labels for emotions, instruments, genres, etc.
- emotions - Dataset with features extracted from music tracks and the emotions they produce
- flags - Dataset with features correspoinding to world flags
- genbase - Dataset with genes data and their functional expression
- langlog - Dataset with data from the Language forum discussion
- medical - Dataset generated from medical reports
- ng20 - Dataset with news messages and the news groups they belong to
- slashdot - Dataset generated from slashdot.org site entries
- stackex_chess - Dataset from the Stack Exchange's chess forum
Last updated from:e65c9f8935. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 123 | ||
| source / vignettes | OK | 216 | ||
| linux-release-x86_64 | OK | 115 | ||
| macos-release-arm64 | OK | 135 | ||
| macos-oldrel-arm64 | OK | 215 | ||
| windows-devel | OK | 81 | ||
| windows-release | OK | 73 | ||
| windows-oldrel | OK | 74 | ||
| wasm-release | OK | 104 |
Exports:available.mldrsbibtexbookmarkscheck_n_load.mldrcorel16k001corel16k002corel16k003corel16k004corel16k005corel16k006corel16k007corel16k008corel16k009corel16k010corel5kdeliciousdensityenroneurlexdc_testeurlexdc_traeurlexev_testeurlexev_traeurlexsm_testeurlexsm_traget.mldrimdbiterative.stratification.holdoutiterative.stratification.kfoldsiterative.stratification.partitionsmediamillmldrsnuswide_BoWnuswide_VLADohsumedrandom.holdoutrandom.kfoldsrandom.partitionsrcv1sub1rcv1sub2rcv1sub3rcv1sub4rcv1sub5reutersk500sparsitystackex_chemistrystackex_coffeestackex_cookingstackex_csstackex_philosophystratified.holdoutstratified.kfoldsstratified.partitionstmc2007tmc2007_500write.mldryahoo_artsyahoo_businessyahoo_computersyahoo_educationyahoo_entertainmentyahoo_healthyahoo_recreationyahoo_referenceyahoo_scienceyahoo_socialyahoo_societyyeast
Dependencies:
