0.5.0

Features:

• Build-in integration with MLflow using the class sklearn_genetic.mlflow.MLflowConfig and the new parameter log_config from the class sklearn_genetic.GASearchCV

• Implemented the callback sklearn_genetic.callbacks.LogbookSaver which saves the estimator.logbook object with all the fitted hyperparameters and their cross-validation score

• Added the parameter estimator to all the functions on the module sklearn_genetic.callbacks

Docs:

• Added user guide "Integrating with MLflow"
• Update the tutorial "Custom Callbacks" for new API inheritance behavior

Internal:

• Added a base class sklearn_genetic.callbacks.base.BaseCallback from which all Callbacks must inherit from
• Now coverage report doesn't take into account the lines with # pragma: no cover and # noqa