pytorch / captum
Model interpretability and understanding for PyTorch
Summary
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| Main Code: 17,643 LOC (165 files) = PY (73%) + CSS (10%) + JS (5%) + TSX (5%) + IPYNB (3%) + PT (1%) + TS (<1%) + HTML (<1%) + CFG (<1%) + YML (<1%) + TOML (<1%) Secondary code: Test: 16,231 LOC (95); Generated: 0 LOC (0); Build & Deploy: 387 LOC (8); Other: 1,249 LOC (49); |
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| Duplication: 16% | |||
| File Size: 0% long (>1000 LOC), 43% short (<= 200 LOC) | |||
| Unit Size: 6% long (>100 LOC), 73% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 87% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (18 components) | ||
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2 years, 7 months old
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3% 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
17 files |
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Latest commit date: 2022-03-26
Reference analysis date: 2022-04-01
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19
commits
(30 days)
6
contributors
(30 days) |
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