Removing my label column during removal? about feature-selector HOT 2 OPEN

# Trying to now name all the feature columns and label for FeatureSelector...
features = df.drop("Adj Close", axis=1)
label = df["Adj Close"]
# Now, drop all columns of low importance
from feature_selector import FeatureSelector
fs = FeatureSelector(data = features, labels = label)
fs.identify_all(selection_params = {'missing_threshold': 0.6,    
                                    'correlation_threshold': 0.98, 
                                    'task': 'regression',    
                                    'eval_metric': 'mse', 
                                    'cumulative_importance': 0.99})
all_to_remove = fs.check_removal()
print(all_to_remove[:])
df = fs.remove(methods = 'all')

# Re-Add the Adj Close to the df because FeatureTools removes it once you assign it as the label for some reason
df['Adj Close'] = label