roclab
0.1.4ROC-Optimizing Binary Classifiers
Overview
Implements ROC (Receiver Operating Characteristic)–Optimizing Binary Classifiers, supporting both linear and kernel models. Both model types provide a variety of surrogate loss functions. In addition, linear models offer multiple regularization penalties, whereas kernel models support a range of kernel functions. Scalability for large datasets is achieved through approximation-based options, which accelerate training and make fitting feasible on large data. Utilities are provided for model training, prediction, and cross-validation. The implementation builds on the ROC-Optimizing Support Vector Machines. For more information, see Hernàndez-Orallo, José, et al. (2004) doi:10.1145/1046456.1046489, presented in the ROC Analysis in AI Workshop (ROCAI-2004).
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
- OK2026-05-0213 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-2511 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Repository
Stars over time
Forks over time
Repository practices
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/gimunbae/roclab on 2026-07-19.
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 9.0 median / 87 max
- Test cases
- 14 / 0.09 per code line
Test coverage
Line coverage
0%
Expression
0.0%
Tests / Examples
0.0% / 58% ex
Functions
34 6 exported
Complexity
16.8 avg / 87 max
Call network
34 nodes / 28 edges
Call graph
Open call graph →Lowest coverage
34 functions| Function | Cyclo | Coverage |
|---|---|---|
| auc exp | 1 | 0% |
| cv.kroclearn exp | 61 | 0% |
| cv.roclearn exp | 82 | 0% |
| kroclearn exp | 59 | 0% |
| plot_roc exp | 16 | 0% |
| roclearn exp | 87 | 0% |
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.4Latest
- 0.1.32025-10-28
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-10-28
- Total releases
- 2 / 1 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 101 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet