optuna.importance
The importance
module provides functionality for evaluating hyperparameter importances based on completed trials in a given study. The utility function get_param_importances()
takes a Study
and optional evaluator as two of its inputs. The evaluator must derive from BaseImportanceEvaluator
, and is initialized as a FanovaImportanceEvaluator
by default when not passed in. Users implementing custom evaluators should refer to either FanovaImportanceEvaluator
or MeanDecreaseImpurityImportanceEvaluator
as a guide, paying close attention to the format of the return value from the Evaluator’s evaluate()
function.
Evaluate parameter importances based on completed trials in the given study. |
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fANOVA importance evaluator. |
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Mean Decrease Impurity (MDI) parameter importance evaluator. |