A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
MIT License
Published by sonichi over 1 year ago
This version contains multiple updates, including support of Azure OpenAI APIs, user-defined meta features in zero-shot AutoML, and time monitoring for spark jobs. Thanks to all the contributors!
Full Changelog: https://github.com/microsoft/FLAML/compare/v1.1.2...v1.1.3
Published by qingyun-wu over 1 year ago
Full Changelog: https://github.com/microsoft/FLAML/compare/v1.1.1...v1.1.2
Published by sonichi almost 2 years ago
Full Changelog: https://github.com/microsoft/FLAML/compare/v1.1.0...v1.1.1
Published by sonichi almost 2 years ago
automl
subpackage.Thanks to all contributors who contributed to this release!
Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.14...v1.1.0
Published by sonichi almost 2 years ago
Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.13...v1.0.14
Published by liususan091219 about 2 years ago
Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.12...v1.0.13
Published by liususan091219 about 2 years ago
Thanks to all the contributors for this release!
$schema
to cgmanifest.json
by @JamieMagee in https://github.com/microsoft/FLAML/pull/708
Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.11...v1.0.12
Published by liususan091219 about 2 years ago
AutoML
objects.use_best_model
to False for catboost.Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.10...v1.0.11
Published by sonichi about 2 years ago
This release contains several new features to highlight:
tune.run
and perform logging when ray is used.There are other improvements for the transformer estimator and bug fixes for config constraints.
Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.9...v1.0.10
Published by liususan091219 about 2 years ago
Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.8...v1.0.9
Published by sonichi over 2 years ago
Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.7...v1.0.8
Published by sonichi over 2 years ago
Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.6...v1.0.7
Published by sonichi over 2 years ago
Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.5...v1.0.6
Published by sonichi over 2 years ago
Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.4...v1.0.5
Published by sonichi over 2 years ago
Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.3...v1.0.4
Published by sonichi over 2 years ago
Data files needed for zero-shot AutoML are included in this release.
When no search budget is given via time_budget/max_iter, zero-shot automl is used automatically.
Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.2...v1.0.3
Published by sonichi over 2 years ago
Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.1...v1.0.2
Published by sonichi over 2 years ago
Full Changelog: https://github.com/microsoft/FLAML/compare/v1.0.0...v1.0.1
Published by sonichi over 2 years ago
Full Changelog: https://github.com/microsoft/FLAML/compare/v0.10.0...v1.0.0
Published by sonichi over 2 years ago
This release contains an important new feature: zero-shot AutoML and mete learning. It provides a new way of doing AutoML without tuning. You can now use the existing training API from lightgbm, xgboost etc. while getting the benefit of AutoML in choosing high-performance hyperparameter configurations per task. Recommended for everyone currently using lightgbm, xgboost or random forest, regardless of previous experience in AutoML. This feature also enables continuous improvement of AutoML from historical AutoML experiments.
Other changes can be found below.
Full Changelog: https://github.com/microsoft/FLAML/compare/v0.9.7...v0.10.0