facebookresearch / tbsm
Time-based Sequence Model for Personalization and Recommendation Systems
Summary
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| Main Code: 1,356 LOC (4 files) = PY (100%) Secondary code: Test: 7 LOC (1); Generated: 0 LOC (0); Build & Deploy: 9 LOC (1); Other: 451 LOC (3); |
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| Duplication: 10% | |||
| File Size: 0% long (>1000 LOC), 12% short (<= 200 LOC) | |||
| Unit Size: 27% long (>100 LOC), 10% short (<= 10 LOC) | |||
| Conditional Complexity: 24% complex (McCabe index > 50), 23% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (2 components) | ||
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9 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: 2021-08-26
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