Package: pmlbr 0.2.2
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:
pmlbr_0.2.2.tar.gz
pmlbr_0.2.2.zip(r-4.5)pmlbr_0.2.2.zip(r-4.4)pmlbr_0.2.2.zip(r-4.3)
pmlbr_0.2.2.tgz(r-4.4-any)pmlbr_0.2.2.tgz(r-4.3-any)
pmlbr_0.2.2.tar.gz(r-4.5-noble)pmlbr_0.2.2.tar.gz(r-4.4-noble)
pmlbr_0.2.2.tgz(r-4.4-emscripten)pmlbr_0.2.2.tgz(r-4.3-emscripten)
pmlbr.pdf |pmlbr.html✨
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
- classification_dataset_names - Names of available classification datasets
- dataset_names - Names of all available datasets
- regression_dataset_names - Names of available regression datasets
- summary_stats - Summary statistics for the all datasets
Last updated 19 days agofrom:f1865ab20f. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-win | OK | Nov 04 2024 |
| R-4.5-linux | OK | Nov 04 2024 |
| R-4.4-win | OK | Nov 04 2024 |
| R-4.4-mac | OK | Nov 04 2024 |
| R-4.3-win | OK | Nov 04 2024 |
| R-4.3-mac | OK | Nov 04 2024 |
Exports:fetch_datanearest_datasets
Dependencies:FNN
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Names of available classification datasets | classification_dataset_names |
| Computes imbalance value for a given dataset. | compute_imbalance |
| Names of 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 |
| Names of available regression datasets | regression_dataset_names |
| Summary statistics for the all datasets | summary_stats |
