awslabs / mlm-scoring
Python library & examples for Masked Language Model Scoring (ACL 2020)
Summary
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| Main Code: 1,904 LOC (9 files) = PY (100%) Secondary code: Test: 209 LOC (4); Generated: 0 LOC (0); Build & Deploy: 35 LOC (2); Other: 4,484,409 LOC (16); |
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| Duplication: 16% | |||
| File Size: 0% long (>1000 LOC), 40% short (<= 200 LOC) | |||
| Unit Size: 9% long (>100 LOC), 39% short (<= 10 LOC) | |||
| Conditional Complexity: 9% complex (McCabe index > 50), 53% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (3 components) | ||
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1 year, 8 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
4 files |
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Latest commit date: 2020-11-09
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