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or negative df['x_sign'] = df['x'] > 0 # Create an aggregation based on x_sign to get y's mean and z's min and max. df.groupby(by='x_sign').agg({'y': 'mean', 'z': ['min', 'max']}) from vaex.ml.sklearn import Predictor from sklearn.ensemble import GradientBoostingClassifier # Download the titanic