Kaggle n_estimators issue with DecisionTreeClassifier

[MarcinKamil84]

Here's my code snippet from Kaggle notebook:

rf_cl = RandomForestClassifier()
dt_cl = DecisionTreeClassifier()

estimator = dt_cl

feat_selector = BorutaPy(
    verbose=2,
    estimator=estimator,
    n_estimators='auto',
    max_iter=20
)

feat_selector.fit(np.array(train_set_final), np.array(train_set_labels))

Here's the error:

ValueError: Invalid parameter 'n_estimators' for estimator DecisionTreeClassifier(). Valid parameters are: ['ccp_alpha', 'class_weight', 'criterion', 'max_depth', 'max_features', 'max_leaf_nodes', 'min_impurity_decrease', 'min_samples_leaf', 'min_samples_split', 'min_weight_fraction_leaf', 'random_state', 'splitter'].

With RandomForestClassifier all works fine.
What can be the issue?

[Nimmerfall]

The DecisionTreeClassifier doesn't seem to have a parameter for n_estimators.
At least i dont see it within the docx -> https://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html

[MarcinKamil84]

Sorry. I have no idea how I missed that. I was sure I checked. Thanks!