aws-samples / amazon-sagemaker-workshop-analytics-machine-learning
Summary
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| Main Code: 2,236 LOC (36 files) = PY (76%) + YML (21%) + CFG (1%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 190 LOC (4); Other: 4,348 LOC (19); |
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| Duplication: 48% | |||
| File Size: 0% long (>1000 LOC), 84% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 36% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 100% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (12 components) | ||
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1 month 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) | |||
Latest commit date: 2022-01-20
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11
commits
(30 days)
5
contributors
(30 days) |
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