aws-samples / amazon-sagemaker-model-serving-using-aws-cdk
This repository provides AI/ML service(MachineLearning model serving) modernization solution using Amazon SageMaker, AWS CDK, and AWS Serverless services.
Summary
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| Main Code: 404 LOC (8 files) = PY (78%) + TS (14%) + YML (5%) + JS (1%) Secondary code: Test: 104 LOC (5); Generated: 7,953 LOC (1); Build & Deploy: 107 LOC (5); Other: 8,762 LOC (12); |
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| Duplication: 7% | |||
| File Size: 0% long (>1000 LOC), 100% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 57% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 91% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (7 components) | ||
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1 year 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: 2022-01-05
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2
commits
(30 days)
1
contributors
(30 days) |
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