from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import Pipeline

# Create preprocessing pipeline
pipeline = Pipeline([
    ('scaler', StandardScaler()),
    ('classifier', SGDClassifier(loss='hinge', alpha=0.01))
])

# Fit and predict with automatic scaling
pipeline.fit(X_train, y_train)
predictions = pipeline.predict(X_test)

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