mlr3automl: Automated Machine Learning for 'mlr3'

Flexible automated machine learning (AutoML) system for the 'mlr3' ecosystem. Automatically selects a suitable machine learning algorithm and tunes its hyperparameters for a given task. Constructs preprocessing pipelines with multiple parallel branches using 'mlr3pipelines' and jointly optimizes them together with the learners using 'mlr3tuning'. The optimization is driven by asynchronous decentralized Bayesian optimization.

See also

Useful links:

• https://mlr3automl.mlr-org.com

• https://github.com/mlr-org/mlr3automl

• Report bugs at https://github.com/mlr-org/mlr3automl/issues

Author

Maintainer: Marc Becker marcbecker@posteo.de (ORCID) [copyright holder]

Authors:

• Marc Becker marcbecker@posteo.de (ORCID) [copyright holder]

• Damir Pulatov damirpolat@protonmail.com

• Baisu Zhou baisu.zhou@outlook.com

• Lona Koers lona.koers@gmail.com