awslabs / dgl-ke
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
Summary
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| Main Code: 6,099 LOC (32 files) = PY (99%) + CFG (<1%) | |||
| Duplication: 25% | |||
| File Size: 0% long (>1000 LOC), 23% short (<= 200 LOC) | |||
| Unit Size: 18% long (>100 LOC), 36% short (<= 10 LOC) | |||
| Conditional Complexity: 9% complex (McCabe index > 50), 51% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (6 components) | ||
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1 year, 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
3 files |
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Latest commit date: 2021-12-29
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(30 days)
0
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(30 days) |
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