gurobi-machinelearning | Python Ecosystem Directory

gurobi-machinelearning - v1.5.1 Latest Release

Published by pobonomo about 2 months ago

What's Changed

Add tests for python 3.12 by @pobonomo in https://github.com/Gurobi/gurobi-machinelearning/pull/299
Fix some inconsistencies with column_transformer and get_convertor by @pobonomo in https://github.com/Gurobi/gurobi-machinelearning/pull/294
[GH316] Avoid logistic function for classification with Logistic Regression by @venaturum in https://github.com/Gurobi/gurobi-machinelearning/pull/318
[#315] Respect missing bias by @bzfwunde in https://github.com/Gurobi/gurobi-machinelearning/pull/325

New Contributors

@venaturum made their first contribution in https://github.com/Gurobi/gurobi-machinelearning/pull/317
@bzfwunde made their first contribution in https://github.com/Gurobi/gurobi-machinelearning/pull/325

Full Changelog: https://github.com/Gurobi/gurobi-machinelearning/compare/v1.5.0...v1.5.1

gurobi-machinelearning - v1.4.1

Published by pobonomo 8 months ago

What's Changed

Deal with empty list of column in column transformer by @pobonomo in https://github.com/Gurobi/gurobi-machinelearning/pull/291

Full Changelog: https://github.com/Gurobi/gurobi-machinelearning/compare/v1.4.0...v1.4.1

gurobi-machinelearning - v1.5.0a1

Published by pobonomo 8 months ago

What's Changed

Add a model for LightGBM by @pobonomo in https://github.com/Gurobi/gurobi-machinelearning/pull/270

Full Changelog: https://github.com/Gurobi/gurobi-machinelearning/compare/v1.4.0...v1.5.0a1

gurobi-machinelearning - v1.4.0

Published by pobonomo 11 months ago

What's Changed

The main update of this release is to use the new nonlinear capabilities in Gurobi 11 for modeling
the logistic regression. Namely, if the user has Gurobi 11, the attribute
FuncNonLinear is set for
the nonlinear constraints with the logistic function created by the package.

In our tests this results in better results (smaller errors in the solution and sometimes faster).

The corresponding parts of the documentation have been updated. In particular the
Student admission example
uses this and there is no more discussion on tuning the piecewise-linear approximation.

Other smaller updates regard the documentation that has been reorganized. In particular with the goal of documenting
better the internal objects that the package constructs and uses.

Test with both gurobi 10.0.3 and 11.0.0 by @twbraam in https://github.com/Gurobi/gurobi-machinelearning/pull/241
Updates for Gurobi 11 by @pobonomo in https://github.com/Gurobi/gurobi-machinelearning/pull/240
Accept list of lists of variables as input to add predictor function by @pobonomo in https://github.com/Gurobi/gurobi-machinelearning/pull/247
Restructure and enhance documentation by @pobonomo in https://github.com/Gurobi/gurobi-machinelearning/pull/256

Full Changelog: https://github.com/Gurobi/gurobi-machinelearning/compare/v1.3.3...v1.4.0

gurobi-machinelearning - v1.4.0b2

Published by pobonomo 11 months ago

What's Changed

Bump actions/setup-python from 4 to 5 by @dependabot in https://github.com/Gurobi/gurobi-machinelearning/pull/264
Bump pandas from 2.1.3 to 2.1.4 by @dependabot in https://github.com/Gurobi/gurobi-machinelearning/pull/266

Full Changelog: https://github.com/Gurobi/gurobi-machinelearning/compare/v1.4.0b1...v1.4.0b2

gurobi-machinelearning - v1.4.0b1

Published by pobonomo 11 months ago

What's Changed

Test with both gurobi 10.0.3 and 11.0.0 by @twbraam in https://github.com/Gurobi/gurobi-machinelearning/pull/241
Updates for Gurobi 11 by @pobonomo in https://github.com/Gurobi/gurobi-machinelearning/pull/240
Accept list of lists of variables as input to add predictor function by @pobonomo in https://github.com/Gurobi/gurobi-machinelearning/pull/247
Use pydata theme for documentation by @pobonomo in https://github.com/Gurobi/gurobi-machinelearning/pull/263

Full Changelog: https://github.com/Gurobi/gurobi-machinelearning/compare/v1.3.3...v1.4.0b1

gurobi-machinelearning - v1.3.3

Published by pobonomo about 1 year ago

Fixed a bug with xgboost when verbose is asked
More meaningful error if using a version of gurobipy that doesn't work

Full Changelog: https://github.com/Gurobi/gurobi-machinelearning/compare/v1.3.2...v1.3.3

gurobi-machinelearning - v1.3.2

Published by pobonomo over 1 year ago

What's Changed

Add support for XGBRegressor in SKlearn pipeline by @pobonomo in https://github.com/Gurobi/gurobi-machinelearning/pull/200

Full Changelog: https://github.com/Gurobi/gurobi-machinelearning/compare/v1.3.1...v1.3.2

gurobi-machinelearning - v1.3.1

Published by pobonomo over 1 year ago

What's Changed

Small changes for compatibility with newer version of tensorflow (2.13.0).

Update dependencies for testing and with the new tensorflow python 3.11 can now be tested.

update to Tensorflow2.13.0 by @pobonomo in https://github.com/Gurobi/gurobi-machinelearning/pull/185
Bump xgboost from 1.7.5 to 1.7.6 by @dependabot in https://github.com/Gurobi/gurobi-machinelearning/pull/188
Bump ipykernel from 6.23.1 to 6.23.2 by @dependabot in https://github.com/Gurobi/gurobi-machinelearning/pull/187
Bump numpy from 1.24.3 to 1.25.0 by @dependabot in https://github.com/Gurobi/gurobi-machinelearning/pull/189
Tensorflow 2.13 by @pobonomo in https://github.com/Gurobi/gurobi-machinelearning/pull/190
Bump ipykernel from 6.23.2 to 6.23.3 by @dependabot in https://github.com/Gurobi/gurobi-machinelearning/pull/191
Bump pypa/gh-action-pypi-publish from 1.8.6 to 1.8.7 by @dependabot in https://github.com/Gurobi/gurobi-machinelearning/pull/194
Bump jupytext from 1.14.6 to 1.14.7 by @dependabot in https://github.com/Gurobi/gurobi-machinelearning/pull/195
Bump pandas from 2.0.2 to 2.0.3 by @dependabot in https://github.com/Gurobi/gurobi-machinelearning/pull/196
Bump scikit-learn from 1.2.2 to 1.3.0 by @dependabot in https://github.com/Gurobi/gurobi-machinelearning/pull/198

Full Changelog: https://github.com/Gurobi/gurobi-machinelearning/compare/v1.3.0...v1.3.1

gurobi-machinelearning - v1.3.0

Published by pobonomo over 1 year ago

What's Changed

Add predictor constraint for XGBoost by @pobonomo in https://github.com/Gurobi/gurobi-machinelearning/pull/178

Also updated dependencies

Full Changelog: https://github.com/Gurobi/gurobi-machinelearning/compare/v1.2.3...v1.3.0

gurobi-machinelearning - v1.3.0rc1

Published by pobonomo over 1 year ago

What's Changed

Add support for XGBoost's gradient boosting tree based regressors

Add predictor constraint for XGBoost by @pobonomo in https://github.com/Gurobi/gurobi-machinelearning/pull/178

Full Changelog: https://github.com/Gurobi/gurobi-machinelearning/compare/v1.2.2...v1.3.0rc1

gurobi-machinelearning - v1.2.3

Published by pobonomo over 1 year ago

What's Changed

Fix 1d numpy array/MVar in column transformer by @pobonomo in https://github.com/Gurobi/gurobi-machinelearning/pull/175

Full Changelog: https://github.com/Gurobi/gurobi-machinelearning/compare/v1.2.2...v1.2.3

gurobi-machinelearning - v1.2.2

Published by pobonomo over 1 year ago

What's Changed

issue169 by @pobonomo in https://github.com/Gurobi/gurobi-machinelearning/pull/172

Full Changelog: https://github.com/Gurobi/gurobi-machinelearning/compare/v1.2.1...v1.2.2

gurobi-machinelearning - v1.2.1

Published by pobonomo over 1 year ago

What's Changed

Raise exception if no constraint is implemented for transformer by @pobonomo in https://github.com/Gurobi/gurobi-machinelearning/pull/168
Add a test for bad input to column transformer by @pobonomo in https://github.com/Gurobi/gurobi-machinelearning/pull/170

Full Changelog: https://github.com/Gurobi/gurobi-machinelearning/compare/v1.2.0...v1.2.1

gurobi-machinelearning - v1.2.0

Published by pobonomo over 1 year ago

What's Changed

Make MIP formulation of decision tree through leafs only by @pobonomo in https://github.com/Gurobi/gurobi-machinelearning/pull/123
Make gradient boosting models generation faster by @pobonomo in https://github.com/Gurobi/gurobi-machinelearning/pull/126
Type of variables for classication by @pobonomo in https://github.com/Gurobi/gurobi-machinelearning/pull/157

Full Changelog: https://github.com/Gurobi/gurobi-machinelearning/compare/v1.1.1...v1.2.0

gurobi-machinelearning - v1.1.1

Published by pobonomo over 1 year ago

What's Changed

Fixed bug with logistic regression and binary variables

Full Changelog: https://github.com/Gurobi/gurobi-machinelearning/compare/v1.1.0...v1.1.1

gurobi-machinelearning - Version 1.1.0

Published by pobonomo almost 2 years ago

What's Changed

This release adds the possibility of using pandas dataframe as input and output for inserting regression models. Those dataframes may contain columns of Gurobi variables or constants (fixed features). This is particularly convenient when used in conjunction with gurobipy-pandas.

We also add the possibility of handling Scikit Learn column transformers. In conjunction with pandas input, this makes it much more easier to handle variables that are indexed by categorical features.

Those two features are illustrated in the student enrollment example and the price optimization example.

This release also introduces the ability to use Scikit Learn PLS Regression. Thanks to @DavidWalz for contributing it!

The formulation of the decision tree has also been improved so that if should be faster to generate the models.

Finally, the documentation has been updated to include summary explanations on the MIP formulations used to represent the various regression models, the potential sources of differences with the original regression models and how to remedy them. The new page can be found here.