facebookresearch / PyTorch-BigGraph
Generate embeddings from large-scale graph-structured data.
Summary
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| Main Code: 8,037 LOC (42 files) = PY (94%) + CPP (4%) + CFG (<1%) + IN (<1%) | |||
| Duplication: 8% | |||
| File Size: 0% long (>1000 LOC), 23% short (<= 200 LOC) | |||
| Unit Size: 10% long (>100 LOC), 63% short (<= 10 LOC) | |||
| Conditional Complexity: 4% complex (McCabe index > 50), 66% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (3 components) | ||
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2 years, 10 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: 2022-01-20
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1
commits
(30 days)
1
contributors
(30 days) |
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