awslabs / sagemaker-debugger
Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors
Summary
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| Main Code: 15,478 LOC (143 files) = PY (94%) + PROTO (3%) + YML (1%) + CFG (<1%) Secondary code: Test: 14,750 LOC (199); Generated: 0 LOC (0); Build & Deploy: 248 LOC (7); Other: 4,368 LOC (103); |
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| Duplication: 8% | |||
| File Size: 6% long (>1000 LOC), 47% short (<= 200 LOC) | |||
| Unit Size: 4% long (>100 LOC), 61% short (<= 10 LOC) | |||
| Conditional Complexity: 2% complex (McCabe index > 50), 56% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (12 components) | ||
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2 years, 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
15 files |
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Latest commit date: 2022-01-28
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1
commits
(30 days)
1
contributors
(30 days) |
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