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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: []
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: []
The text was updated successfully, but these errors were encountered:
GDGauravDutta
changed the title
Comment has incorrect code
Comment has incorrect code ( verbose=0. imbalanced=False [verbose=0, imbalanced=False])
Feb 1, 2024
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: []
The text was updated successfully, but these errors were encountered: