aws-samples / aws-mlu-explain
Visual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/
Summary
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| Main Code: 84,185 LOC (97 files) = JS (82%) + CSS (8%) + SCSS (5%) + HTML (3%) + PY (<1%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 910 LOC (13); |
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| Duplication: 24% | |||
| File Size: 72% long (>1000 LOC), 4% short (<= 200 LOC) | |||
| Unit Size: 12% long (>100 LOC), 26% short (<= 10 LOC) | |||
| Conditional Complexity: 7% complex (McCabe index > 50), 79% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (11 components) | ||
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3 months old
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0% 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) | |||
Latest commit date: 2022-01-27
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33
commits
(30 days)
3
contributors
(30 days) |
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