aws-samples / amazon-forecast-continuous-training-demo
A demo of using Amazon Forecast AI service to continuously training model and generating forecast as new data comes in. It will be easy to setup in any AWS account, run through the whole forecast cycle.
Summary
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| Main Code: 1,680 LOC (18 files) = YML (52%) + PY (47%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 157 LOC (4); |
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| Duplication: 38% | |||
| File Size: 0% long (>1000 LOC), 73% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 71% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 76% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (8 components) | ||
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1 year, 8 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: 2021-05-27
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