aws-samples / amazon-elastic-inference-eks
Optimizing scalable ML inference workloads with Amazon Elastic Inference and Amazon EKS
Summary
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| Main Code: 1,245 LOC (4 files) = YML (83%) + PY (16%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 10 LOC (1); Other: 145 LOC (3); |
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| Duplication: 19% | |||
| File Size: 0% long (>1000 LOC), 23% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 17% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 17% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (1 component) | ||
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2 years, 7 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: 2019-07-18
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