PanyiDong / InsurAutoML

AutoML in Insurance project.
MIT License
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more unit test and model tests #6

Closed PanyiDong closed 2 years ago

PanyiDong commented 2 years ago
  1. solve model errors
  2. add more unit test (use fitted do determine whether pass)
  3. add regression build test
codecov-commenter commented 2 years ago

Codecov Report

Merging #6 (6449c53) into master (b3f45d5) will increase coverage by 0.03%. The diff coverage is 13.60%.

@@            Coverage Diff             @@
##           master       #6      +/-   ##
==========================================
+ Coverage   12.82%   12.86%   +0.03%     
==========================================
  Files          55       55              
  Lines        5255     5372     +117     
==========================================
+ Hits          674      691      +17     
- Misses       4581     4681     +100     
Flag Coverage Δ
unittests 12.86% <13.60%> (+0.03%) :arrow_up:

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Impacted Files Coverage Δ
My_AutoML/_balancing/_mixed_sampling.py 16.66% <0.00%> (-0.99%) :arrow_down:
My_AutoML/_balancing/_over_sampling.py 14.00% <0.00%> (-0.59%) :arrow_down:
My_AutoML/_balancing/_under_sampling.py 10.44% <0.00%> (-0.49%) :arrow_down:
My_AutoML/_encoding/_encoding.py 12.62% <0.00%> (-0.51%) :arrow_down:
...hyperparameters/_ray/_classifier_hyperparameter.py 100.00% <ø> (ø)
..._hyperparameters/_ray/_regressor_hyperparameter.py 100.00% <ø> (ø)
My_AutoML/_imputation/__init__.py 80.00% <ø> (ø)
My_AutoML/_imputation/_base.py 16.85% <0.00%> (-1.22%) :arrow_down:
My_AutoML/_imputation/_clustering.py 10.30% <0.00%> (ø)
My_AutoML/_imputation/_nn.py 11.07% <0.00%> (ø)
... and 6 more

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