aws / sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
Summary
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| Main Code: 29,074 LOC (201 files) = PY (99%) + CFG (<1%) + IN (<1%) Secondary code: Test: 71,704 LOC (355); Generated: 0 LOC (0); Build & Deploy: 47 LOC (3); Other: 27,601 LOC (191); |
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| Duplication: 20% | |||
| File Size: 20% long (>1000 LOC), 31% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 71% short (<= 10 LOC) | |||
| Conditional Complexity: <1% complex (McCabe index > 50), 77% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (29 components) | ||
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4 years, 2 months old
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26% 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
7 files |
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Latest commit date: 2022-01-29
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32
commits
(30 days)
16
contributors
(30 days) |
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