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Breakdown the classification module into algorithms and wrappers #357
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Co-authored-by: Quentin Barthélemy <[email protected]>
Co-authored-by: Quentin Barthélemy <[email protected]>
Co-authored-by: Quentin Barthélemy <[email protected]>
Co-authored-by: Quentin Barthélemy <[email protected]>
Co-authored-by: Quentin Barthélemy <[email protected]>
Co-authored-by: Quentin Barthélemy <[email protected]>
Co-authored-by: Quentin Barthélemy <[email protected]>
Co-authored-by: Quentin Barthélemy <[email protected]>
Co-authored-by: Quentin Barthélemy <[email protected]>
Co-authored-by: Quentin Barthélemy <[email protected]>
Co-authored-by: Quentin Barthélemy <[email protected]>
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Can you complete test_classification.py with NearestConvexHull?
Co-authored-by: Quentin Barthélemy <[email protected]>
Co-authored-by: Quentin Barthélemy <[email protected]>
Thank you for the review @qbarthelemy ! Do you have in mind a specific scenario that you would like me to cover in this PR? |
Unit tests We must add |
Ok. The test showed the |
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Thx @gcattan
The classification module is becoming quiet big.
This PR breaks it into wrappers (such as QuantumNCH) and core algorithms (such as NearestConvexHull).
The PR also extracts the
get_docplex_optimizer_from_params_bag
method toutils.py
.Closes #257