leakr
0.1.0Data Leakage Detection Tools for Machine Learning
Overview
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).
Install
Health
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 6.0 median / 23 max
- Test cases
- 14 / 0.04 per code line
- Documented parameters
- 98%
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
93 30 exported
Complexity
5.8 avg / 23 max
Call network
93 nodes / 64 edges
Test coverage has not been measured for this package yet; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-10-26
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 113 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet