from sklearn.pipeline import Pipeline
from sklearn.preprocessing import FunctionTransformer

def create_transformation_pipeline():
    return Pipeline([
        ('log_transform', FunctionTransformer(np.log1p)),
        ('scaler', StandardScaler())
    ])

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