aws / sagemaker-scikit-learn-extension
A library of additional estimators and SageMaker tools based on scikit-learn
Summary
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| Main Code: 2,001 LOC (28 files) = PY (97%) + YML (2%) + IN (<1%) Secondary code: Test: 1,589 LOC (14); Generated: 0 LOC (0); Build & Deploy: 12 LOC (1); Other: 427 LOC (7); |
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| Duplication: 6% | |||
| File Size: 0% long (>1000 LOC), 46% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 71% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 67% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (10 components) | ||
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2 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
1 file |
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Latest commit date: 2021-11-29
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(30 days)
0
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