aws / sagemaker-training-toolkit
Train machine learning models within a ???? Docker container using ???? Amazon SageMaker.
Summary
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| Main Code: 2,296 LOC (33 files) = PY (80%) + C (15%) + YML (2%) + H (1%) + IN (<1%) + CFG (<1%) | |||
| Duplication: 11% | |||
| File Size: 0% long (>1000 LOC), 67% short (<= 200 LOC) | |||
| Unit Size: 9% long (>100 LOC), 51% short (<= 10 LOC) | |||
| Conditional Complexity: 9% complex (McCabe index > 50), 54% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (5 components) | ||
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4 years old
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2% 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) | |||
Latest commit date: 2022-01-29
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3
commits
(30 days)
2
contributors
(30 days) |
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