tensorflow / recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Summary
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| Main Code: 1,407 LOC (29 files) = PY (100%) Secondary code: Test: 1,220 LOC (12); Generated: 0 LOC (0); Build & Deploy: 79 LOC (4); Other: 355 LOC (6); |
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| Duplication: 3% | |||
| File Size: 0% long (>1000 LOC), 57% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 52% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 66% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (13 components) | ||
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1 year, 7 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: 2022-01-28
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5
commits
(30 days)
4
contributors
(30 days) |
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