dmeoli / optiml / 28212477813

84%

Build Type

push

github

Committed by dmeoli

Commit Message

Fix modern numpy/scipy/sklearn/cvxpy compatibility so CI passes

- np.sum(generator) is rejected by numpy 2.x: use the builtin sum() for the
  neural network regularization terms
- OneHotEncoder(sparse=...) was renamed to sparse_output in scikit-learn >= 1.2
- ProximalBundle defaulted to the ECOS cvxpy solver, which cvxpy no longer
  bundles: default to CLARABEL (always available) in the optimizer and the
  SVM/neural-network estimators
- add quadprog (used by the constrained solvers) to the dependencies

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2 of 2 new or added lines in 1 file covered. (100.0%)

430 existing lines in 27 files now uncovered.

2606 of 3291 relevant lines covered (79.19%)

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