aws / aws-step-functions-data-science-sdk-python
Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS
Summary
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| Main Code: 2,583 LOC (34 files) = PY (99%) + CFG (<1%) + IN (<1%) Secondary code: Test: 7,401 LOC (37); Generated: 0 LOC (0); Build & Deploy: 27 LOC (1); Other: 948 LOC (17); |
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| Duplication: 7% | |||
| File Size: 0% long (>1000 LOC), 54% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 73% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 77% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (9 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) | |||
Latest commit date: 2022-01-21
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1
commits
(30 days)
1
contributors
(30 days) |
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