(seed, cycle_length=200, n=1, k=1)
return SyntheticDataset(name='Synthetic Seasonal Outliers (dim={n})', file_name='sine1.pkl', length=length,
                                n=n, k=k, baseline_config=baseline_config, shift_config=shift_config,
                                behavior=behavior, behavior_config=behavior_config,
                                outlier_config=outlier_config, pollution_config=pollution_config,
                                train_split=train_split, random_state=random_state)
Test seasonality (long term frequency)
Test seasonality (long term frequency)
Test seasonality ( long term frequency )
def behavior_sine_1(seed, cycle_length=200, n=1, k=1):
        """Test seasonality (long term frequency)"""
        length = 3000
        train_split = 0.7
        shift_config = {}
        behavior = sine_generator
        behavior_config = {'cycle_duration': cycle_length, 'amplitude': 0.1}
        baseline_config = {}
        outlier_config = {}
        pollution_config = {}
        random_state = seed

        return SyntheticDataset(name='Synthetic Seasonal Outliers (dim={n})', file_name='sine1.pkl', length=length,
                                n=n, k=k, baseline_config=baseline_config, shift_config=shift_config,
                                behavior=behavior, behavior_config=behavior_config,
                                outlier_config=outlier_config, pollution_config=pollution_config,
                                train_split=train_split, random_state=random_state)
def behavior_sine_1 ( seed , cycle_length = 200 , n = 1 , k = 1 ) : length = 3000 train_split = 0.7 shift_config = { } behavior = sine_generator behavior_config = { 'cycle_duration' : cycle_length , 'amplitude' : 0.1 } baseline_config = { } outlier_config = { } pollution_config = { } random_state = seed return SyntheticDataset ( name = 'Synthetic Seasonal Outliers (dim={n})' , file_name = 'sine1.pkl' , length = length , n = n , k = k , baseline_config = baseline_config , shift_config = shift_config , behavior = behavior , behavior_config = behavior_config , outlier_config = outlier_config , pollution_config = pollution_config , train_split = train_split , random_state = random_state )