LightGBM javyxu · 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/javyxu/LightGBM · ★ 1 · Forks 0 · Size 9.3 MB
SUMMARY
Technologies 13
Scored 13
Observed 13
Practices 6
Evidence 13
Skips 0
COVERAGE
Analyzed 329 files · 1515 commits · 0 API calls
TECHNOLOGIES & DEPTH
PowerShell LANGUAGE Depth 70
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Dockerfile LANGUAGE Depth 70
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C++ LANGUAGE Depth 70
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Shell LANGUAGE Depth 70
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C LANGUAGE Depth 70
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JavaScript LANGUAGE Depth 70
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JSON LANGUAGE Depth 70
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Markdown LANGUAGE Depth 70
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YAML LANGUAGE Depth 70
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Python LANGUAGE Depth 70
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NumPy LIBRARY Depth 81
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TypeScript LANGUAGE Depth 85
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pandas LIBRARY Depth 81
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PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · observedlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2016-08-05
Last commit 2019-03-14
Active months 32
Commits 1515