Comment has incorrect code ( verbose=0. imbalanced=False [verbose=0, imbalanced=False])

[GDGauravDutta]

Actual :
import featurewiz as gwiz
wiz =gwiz.FeatureWiz(verbose=2)
Imported lazytransform v1.14.

Imported featurewiz 0.5.4. Use the following syntax:
>>> wiz = FeatureWiz(feature_engg = '', nrows=None, transform_target=True, scalers="std",
category_encoders="auto", add_missing=False, verbose=0. imbalanced=False,
ae_options={})
>>> X_train_selected, y_train = wiz.fit_transform(X_train, y_train)
>>> X_test_selected = wiz.transform(X_test)
>>> selected_features = wiz.features

featurewiz is given 0.9 as correlation limit...
Skipping feature engineering since no feature_engg input...
final list of category encoders given: ['label', 'label']
final list of scalers given: []

Expected :
import featurewiz as gwiz
wiz =gwiz.FeatureWiz(verbose=2)
Imported lazytransform v1.14.

Imported featurewiz 0.5.4. Use the following syntax:
>>> wiz = FeatureWiz(feature_engg = '', nrows=None, transform_target=True, scalers="std",
category_encoders="auto", add_missing=False, verbose=0**,** imbalanced=False,
ae_options={})
>>> X_train_selected, y_train = wiz.fit_transform(X_train, y_train)
>>> X_test_selected = wiz.transform(X_test)
>>> selected_features = wiz.features

featurewiz is given 0.9 as correlation limit...
Skipping feature engineering since no feature_engg input...
final list of category encoders given: ['label', 'label']
final list of scalers given: []

[AutoViML]

Yes this is fixed in the next version 0.5.5
please upgrade via
pip install featurewiz --upgrade
thanks