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master
machine-learning-for-telecommunications
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  • 8 issues
  • 0 pull requests
  • 16 files
  • 1 active branch

CodeFactor Rating A

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Grade
Name
Complexity
Churn
Issues
A
.github\workflows\snorkell-auto-documentation.yml
1 -
A
deployment\build-s3-dist.sh
3 2
A
source\industry\telecom\scripts\glue-script\csv-to-parquet.py
1 -
A
source\industry\telecom\scripts\sagemaker-script\lifecycle-config.sh
2 -
A
source\local-solution-helper\__init__.py
1 -
A
source\local-solution-helper\pycfn_custom_resource\__init__.py
1 -
A
source\local-solution-helper\pycfn_custom_resource\lambda_backed.py
33 1 2
A
source\local-solution-helper\pycfn_custom_resource\util.py
10 1 -
A
source\local-solution-helper\setup.py
1 -
A
source\local-solution-helper\solution-helper.py
16 1 1
B
source\ml-custom-resource\custom\cfn_resource.py
7 2 3
A
source\ml-custom-resource\custom\custom_base.py
5 2 -
A
source\ml-custom-resource\data\artifacts.py
32 3 -
A
source\ml-custom-resource\etl\gluejobs.py
15 3 -
A
source\ml-custom-resource\lambda_function.py
14 3 -
A
source\ml-custom-resource\ml\sagemaker.py
10 2 -
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