aws-samples / aws-document-classifier-and-splitter
In this repository you will find an aws-sample that will create a AWS Comprehend classification model from documents. It will then use that classification model to split documents.
Summary
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| Main Code: 1,133 LOC (17 files) = PY (75%) + YAML (24%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 445 LOC (4); |
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| Duplication: 11% | |||
| File Size: 0% long (>1000 LOC), 77% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 49% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 85% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (15 components) | ||
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3 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: 2022-01-11
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(30 days)
1
contributors
(30 days) |
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