microsoft / SynapseML
Simple and Distributed Machine Learning
Summary
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| Main Code: 34,173 LOC (394 files) = SCALA (82%) + PY (8%) + JS (3%) + YAML (2%) + CSS (1%) + DOCKERFILE (<1%) + SBT (<1%) + JAVA (<1%) + R (<1%) + YML (<1%) + IN (<1%) Secondary code: Test: 17,872 LOC (166); Generated: 0 LOC (0); Build & Deploy: 24 LOC (5); Other: 38,141 LOC (260); |
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| Duplication: 6% | |||
| File Size: 0% long (>1000 LOC), 57% short (<= 200 LOC) | |||
| Unit Size: 2% long (>100 LOC), 57% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 78% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (11 components) | ||
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4 years, 8 months old
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2% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
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| Goals: Keep the system simple and easy to change (4) | |||
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Features of interest:
TODOs
31 files |
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Latest commit date: 2022-01-28
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23
commits
(30 days)
9
contributors
(30 days) |
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