Package: pmlbr 0.3.0.9000

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:
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
Last updated from:96501f6876. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 105 | ||
| source / vignettes | OK | 173 | ||
| linux-release-x86_64 | OK | 104 | ||
| macos-release-arm64 | OK | 107 | ||
| macos-oldrel-arm64 | OK | 126 | ||
| windows-devel | OK | 70 | ||
| windows-release | OK | 62 | ||
| windows-oldrel | OK | 56 | ||
| wasm-release | OK | 103 |
Exports:classification_datasetsdataset_namesfetch_datanearest_datasetspmlb_metadataregression_datasetssummary_stats
Dependencies:FNN
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Classification datasets | classification_datasets |
| Computes imbalance value for a given dataset. | compute_imbalance |
| All available datasets | dataset_names |
| fetch_data function | fetch_data |
| Get type/class of given vector. | get_type |
| Download a File Gracefully with Retry Mechanism | graceful_download |
| Select nearest datasets given input `x`. | nearest_datasets nearest_datasets.character nearest_datasets.data.frame nearest_datasets.default |
| pmlb: R interface to the Penn Machine Learning Benchmarks data repository | pmlb pmlbr |
| Get metadata for all datasets in PMLB. | pmlb_metadata |
| Regression datasets | regression_datasets |
| Summary statistics | summary_stats |
