aws-samples / machine-learning-samples
Sample applications built using AWS' Amazon Machine Learning.
Summary
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| Main Code: 1,601 LOC (25 files) = PY (92%) + M (4%) + JAVA (2%) + H (<1%) + SBT (<1%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 12 LOC (2); Other: 1,102 LOC (27); |
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| Duplication: 1% | |||
| File Size: 0% long (>1000 LOC), 100% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 72% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 86% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (8 components) | ||
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6 years, 10 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
1 file |
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Latest commit date: 2017-10-10
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(30 days)
0
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