(seed, extreme_value=10, n=1)
return dataset
Full pollution -> All anomalies from test set are in train set
Full pollution -> All anomalies from test set are in train set
Full pollution - > All anomalies from test set are in train set
def variance_1_extremeness(seed, extreme_value=10, n=1):
        """Full pollution -> All anomalies from test set are in train set"""
        dataset = SyntheticDataGenerator.variance_1(seed, n)

        dataset.outlier_config['variance'][0]['factor'] = extreme_value

        dataset.name = f'Syn Variance Outliers (extremeness={extreme_value})'
        return dataset
def variance_1_extremeness ( seed , extreme_value = 10 , n = 1 ) : dataset = SyntheticDataGenerator . variance_1 ( seed , n ) dataset . outlier_config [ 'variance' ] [ 0 ] [ 'factor' ] = extreme_value dataset . name = f'Syn Variance Outliers (extremeness={extreme_value})' return dataset