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Provides utilities to detect common data leakage patterns including train/test contamination, temporal leakage, and data duplication, enhancing model reliability and reproducibility in machine learning workflows. Generates diagnostic reports and visual summaries to support data validation. Methods based on best practices from Hastie, Tibshirani, and Friedman (2009, ISBN:978-0387848570).
| Version: | 0.1.0 |
| Imports: | ggplot2, arrow, data.table, digest, htmltools, openxlsx, readxl, stringr, workflows, jsonlite |
| Suggests: | testthat (≥ 3.0.0), caret, mlr3, tidymodels, knitr, rmarkdown |
| Published: | 2025-10-26 |
| DOI: | 10.32614/CRAN.package.leakr (may not be active yet) |
| Author: | Cheryl Isabella Lim [aut, cre] |
| Maintainer: | Cheryl Isabella Lim <cheryl.academic at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | leakr results |
| Reference manual: | leakr.html , leakr.pdf |
| Vignettes: |
Advanced Leakage Detection with leakr (source, R code) Framework Integration with leakr (source, R code) Getting Started with leakr (source, R code) |
| Package source: | leakr_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: leakr_0.1.0.zip |
| macOS binaries: | r-release (arm64): leakr_0.1.0.tgz, r-oldrel (arm64): leakr_0.1.0.tgz, r-release (x86_64): leakr_0.1.0.tgz, r-oldrel (x86_64): leakr_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.