tensorflow / ranking
Learning to Rank in TensorFlow
Summary
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| Main Code: 6,752 LOC (35 files) = PY (100%) Secondary code: Test: 10,988 LOC (27); Generated: 0 LOC (0); Build & Deploy: 42 LOC (1); Other: 4,055 LOC (30); |
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| Duplication: 12% | |||
| File Size: 0% long (>1000 LOC), 25% short (<= 200 LOC) | |||
| Unit Size: 3% long (>100 LOC), 55% short (<= 10 LOC) | |||
| Conditional Complexity: 1% complex (McCabe index > 50), 70% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (8 components) | ||
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3 years, 2 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) | |||
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Features of interest:
TODOs
16 files |
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Latest commit date: 2021-11-18
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