LightGBM tkoyama010 · COMPLETED
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
github.com/tkoyama010/LightGBM · ★ 0 · Forks 0 · Size 22.7 MB
SUMMARY
Technologies 14
Scored 14
Observed 14
Practices 6
Evidence 14
Skips 0
COVERAGE
Analyzed 545 files · 3650 commits · 0 API calls
TECHNOLOGIES & DEPTH
PowerShell LANGUAGE Depth 70
4 files · PRODUCTION
C++ LANGUAGE Depth 70
165 files · PRODUCTION
Shell LANGUAGE Depth 70
19 files · PRODUCTION
JavaScript LANGUAGE Depth 70
1 files · PRODUCTION
JSON LANGUAGE Depth 70
4 files · PRODUCTION
Markdown LANGUAGE Depth 70
22 files · PRODUCTION
TOML LANGUAGE Depth 70
2 files · PRODUCTION
YAML LANGUAGE Depth 70
21 files · PRODUCTION
Python LANGUAGE Depth 70
42 files · PRODUCTION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 81
23 files · PRODUCTION, TEST
TypeScript LANGUAGE Depth 85
76 files · PRODUCTION, TEST
pandas LIBRARY Depth 81
9 files · PRODUCTION, TEST
pytest TESTING Depth 74
11 files · PRODUCTION, TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · absentlinting · observedformatting · observed
ACTIVITY & OWNERSHIP
First commit 2016-08-05
Last commit 2025-03-04
Active months 104
Commits 3650