LightGBM pranavdurai10 · COMPLETED
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
github.com/pranavdurai10/LightGBM · ★ 0 · Forks 0 · Size 9.5 MB
SUMMARY
Technologies 12
Scored 12
Observed 12
Practices 6
Evidence 12
Skips 0
COVERAGE
Analyzed 330 files · 1577 commits · 0 API calls
TECHNOLOGIES & DEPTH
PowerShell LANGUAGE Depth 70
1 files · PRODUCTION
C++ LANGUAGE Depth 70
91 files · PRODUCTION
Shell LANGUAGE Depth 70
2 files · PRODUCTION
JavaScript LANGUAGE Depth 70
1 files · PRODUCTION
JSON LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
16 files · PRODUCTION
YAML LANGUAGE Depth 70
3 files · PRODUCTION
Python LANGUAGE Depth 70
25 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 81
14 files · PRODUCTION, TEST
TypeScript LANGUAGE Depth 85
60 files · PRODUCTION
pandas LIBRARY Depth 81
8 files · PRODUCTION, TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2016-08-05
Last commit 2019-05-20
Active months 34
Commits 1577