setting kfp

tests/distributions/test_base.py

@@ -3,6 +3,7 @@
 import pytest
 
 import numpy as np
+
 from xgboost_distribution.distributions import (
     AVAILABLE_DISTRIBUTIONS,
     Normal,

tests/distributions/test_exponential.py

@@ -2,6 +2,7 @@
 
 import numpy as np
 import pandas as pd
+
 from xgboost_distribution.distributions import Exponential
 
 

tests/distributions/test_laplace.py

@@ -1,6 +1,7 @@
 import pytest
 
 import numpy as np
+
 from xgboost_distribution.distributions import Laplace
 
 

tests/distributions/test_log_normal.py

@@ -2,6 +2,7 @@
 
 import numpy as np
 import pandas as pd
+
 from xgboost_distribution.distributions import LogNormal
 
 

tests/distributions/test_negative_binomial.py

@@ -3,6 +3,7 @@
 import numpy as np
 import pandas as pd
 from scipy.special import logit
+
 from xgboost_distribution.distributions import NegativeBinomial
 
 

tests/distributions/test_normal.py

@@ -1,6 +1,7 @@
 import pytest
 
 import numpy as np
+
 from xgboost_distribution.distributions import Normal
 
 

tests/distributions/test_poisson.py

@@ -2,6 +2,7 @@
 
 import numpy as np
 import pandas as pd
+
 from xgboost_distribution.distributions import Poisson
 
 

tests/distributions/test_utils.py

@@ -2,6 +2,7 @@
 
 import numpy as np
 import pandas as pd
+
 from xgboost_distribution.distributions.utils import (
     check_all_ge_zero,
     check_all_gt_zero,

tests/test_data.py

@@ -3,6 +3,7 @@
 import pytest
 
 import numpy as np
+
 from xgboost_distribution.model import XGBDistribution
 
 

tests/test_model.py

@@ -8,6 +8,7 @@
 import joblib
 import numpy as np
 from sklearn.exceptions import NotFittedError
+
 from xgboost_distribution.distributions import AVAILABLE_DISTRIBUTIONS
 from xgboost_distribution.model import XGBDistribution