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cog-imperial / OMLT

Represent trained machine learning models as Pyomo optimization formulations
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Dummy PR to get tests to run #23

Closed carldlaird closed 2 years ago

codecov[bot] commented 2 years ago

Codecov Report

Merging #23 (56845c8) into main (2c38689) will decrease coverage by 2.30%. The diff coverage is 89.27%.

Impacted file tree graph

@@            Coverage Diff             @@
##             main      #23      +/-   ##
==========================================
- Coverage   91.10%   88.79%   -2.31%     
==========================================
  Files          15       23       +8     
  Lines         854     1071     +217     
  Branches      159      160       +1     
==========================================
+ Hits          778      951     +173     
- Misses         51       98      +47     
+ Partials       25       22       -3
Impacted Files Coverage Δ
src/omlt/io/onnx.py 47.61% <38.88%> (-44.78%) :arrow_down:
src/omlt/neuralnet/layers/full_space.py 60.60% <60.60%> (ø)
src/omlt/neuralnet/layer.py 73.33% <73.33%> (ø)
src/omlt/neuralnet/network_definition.py 89.65% <88.46%> (-4.99%) :arrow_down:
src/omlt/io/onnx_parser.py 93.16% <93.16%> (ø)
src/omlt/neuralnet/nn_formulation.py 95.31% <95.31%> (ø)
src/omlt/neuralnet/activations/relu.py 96.77% <96.77%> (ø)
src/omlt/block.py 100.00% <100.00%> (+7.27%) :arrow_up:
src/omlt/formulation.py 92.06% <100.00%> (+3.82%) :arrow_up:
src/omlt/gbt/__init__.py 100.00% <100.00%> (ø)
... and 13 more

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