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Formulate trained predictors in Gurobi models

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Bumps [pandas](https://github.com/pandas-dev/pandas) from 2.2.1 to 2.2.2. Release notes Sourced from pandas's releases. Pandas 2.2.2 We are pleased to announce the release of pandas 2.2.2. This release includes some new features,...

dependencies
python

Bumps [sphinx](https://github.com/sphinx-doc/sphinx) from 7.2.6 to 7.3.7. Release notes Sourced from sphinx's releases. Sphinx 7.3.7 Changelog: https://www.sphinx-doc.org/en/master/changes.html Sphinx 7.3.6 Changelog: https://www.sphinx-doc.org/en/master/changes.html Sphinx 7.3.5 Changelog: https://www.sphinx-doc.org/en/master/changes.html Sphinx 7.3.4 Changelog: https://www.sphinx-doc.org/en/master/changes.html Sphinx 7.3.3...

dependencies
python

Bumps [scikit-learn](https://github.com/scikit-learn/scikit-learn) from 1.4.1.post1 to 1.4.2. Release notes Sourced from scikit-learn's releases. Scikit-learn 1.4.2 We're happy to announce the 1.4.2 release. This release only includes support for numpy 2. This...

dependencies
python

In column_transformer, was not using get_convertor to get the function to transform the columns. Was also raising the wrong exception "NoModel" instead of "NotRegistered". There are other places.

safe to test

It would be interesting to have a way of providing bounds value for neurons similarly as done in [this function](https://github.com/vas-group-imperial/venus2/blob/main/venus/solver/milp_encoder.py) (add_output_vars). with correct bounds, it could for example discard many...

https://scikit-learn.org/stable/auto_examples/ensemble/plot_monotonic_constraints.html

In China, Baidu's open-sourced ML package [**PaddlePaddle**](https://github.com/PaddlePaddle/Paddle) (19.7k+ stars) is very widely used ([**China’s No.1 and world’s Top 3**](https://en.pingwest.com/a/10014)). Meanwhile, Gurobi also has many users in China. To maximize the...

The only one I can think of in the litterature is the one of OptiCL