gurobi-machinelearning
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Formulate trained predictors in Gurobi models
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,...
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...
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...
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.
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