Support for general config constraints and metric constraints in hyperparameter tuning
0.3.5
* micro/macro f1 metrics added for multi-classification * simple preprocessing of datetime columns * support lightgbm with customized objective * bug fix in FLOW^2
0.3.0
* Search space improvement * Separation of initial points and low cost partial config in HPO input
0.2.9
A number of new features and improvements: * pickle the AutoML object * get best model per estimator * bug fix * add verbose argument in AutoML.fit() * nni support * stateless HPO API
0.2.8
perf improvement for parallel tuning and bug fix
0.2.6
added support for nested search space added experimental support for nni minor bug fix