NpPermutationImportanceEstimator

class lightautoml.pipelines.selection.permutation_importance_based.NpPermutationImportanceEstimator(random_state=42)

Bases: lightautoml.pipelines.selection.base.ImportanceEstimator

Permutation importance based estimator.

Importance calculate, using random permutation of items in single column for each feature.

__init__(random_state=42)

Parameters

random_state (int) – seed for random generation of features permutation.

fit(train_valid=None, ml_algo=None, preds=None)

Find importances for each feature in dataset.

Parameters

• train_valid (Optional[TrainValidIterator]) – Initial dataset iterator.

• ml_algo (Optional[MLAlgo]) – Algorithm.

• preds (Optional[LAMLDataset]) – Predicted target values for validation dataset.