cog-imperial / OMLT

Represent trained machine learning models as Pyomo optimization formulations
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Add activations onnx #121

Closed juan-campos closed 9 months ago

juan-campos commented 10 months ago

Legal Acknowledgement\ By contributing to this software project, I agree my contributions are submitted under the BSD license. I represent I am authorized to make the contributions and grant the license. If my employer has rights to intellectual property that includes these contributions, I represent that I have received permission to make contributions and grant the required license on behalf of that employer.

codecov[bot] commented 10 months ago

Codecov Report

All modified lines are covered by tests :white_check_mark:

Comparison is base (c0f6c0b) 95.95% compared to head (7d9814f) 95.95%.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #121 +/- ## ======================================= Coverage 95.95% 95.95% ======================================= Files 29 29 Lines 1656 1656 Branches 251 255 +4 ======================================= Hits 1589 1589 Misses 35 35 Partials 32 32 ``` | [Files](https://app.codecov.io/gh/cog-imperial/OMLT/pull/121?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cog-imperial) | Coverage Δ | | |---|---|---| | [src/omlt/io/onnx\_parser.py](https://app.codecov.io/gh/cog-imperial/OMLT/pull/121?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cog-imperial#diff-c3JjL29tbHQvaW8vb25ueF9wYXJzZXIucHk=) | `97.50% <100.00%> (ø)` | |

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