Package: pmlbr 0.3.0.9000

Trang Le

pmlbr: Interface to the Penn Machine Learning Benchmarks Data Repository

Check available classification and regression data sets from the PMLB repository and download them. The PMLB repository (<https://github.com/EpistasisLab/pmlbr>) contains a curated collection of data sets for evaluating and comparing machine learning algorithms. These data sets cover a range of applications, and include binary/multi-class classification problems and regression problems, as well as combinations of categorical, ordinal, and continuous features. There are currently over 150 datasets included in the PMLB repository.

Authors:Trang Le [aut, cre], makeyourownmaker [aut], Jason Moore [aut], University of Pennsylvania [cph]

pmlbr_0.3.0.9000.tar.gz
pmlbr_0.3.0.9000.zip(r-4.7)pmlbr_0.3.0.9000.zip(r-4.6)pmlbr_0.3.0.9000.zip(r-4.5)
pmlbr_0.3.0.9000.tgz(r-4.6-any)pmlbr_0.3.0.9000.tgz(r-4.5-any)
pmlbr_0.3.0.9000.tar.gz(r-4.7-any)pmlbr_0.3.0.9000.tar.gz(r-4.6-any)
pmlbr_0.3.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
pmlbr/json (API)
NEWS

# Install 'pmlbr' in R:
install.packages('pmlbr', repos = c('https://epistasislab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/epistasislab/pmlbr/issues

On CRAN:

Conda:

3.98 score 10 stars 19 scripts 226 downloads 7 exports 1 dependencies

Last updated from:96501f6876. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK105
source / vignettesOK173
linux-release-x86_64OK104
macos-release-arm64OK107
macos-oldrel-arm64OK126
windows-develOK70
windows-releaseOK62
windows-oldrelOK56
wasm-releaseOK103

Exports:classification_datasetsdataset_namesfetch_datanearest_datasetspmlb_metadataregression_datasetssummary_stats

Dependencies:FNN