diff --git a/sml/metrics/regression/regression.py b/sml/metrics/regression/regression.py
index 43047342..0ddb251b 100644
--- a/sml/metrics/regression/regression.py
+++ b/sml/metrics/regression/regression.py
@@ -48,7 +48,7 @@ def _mean_tweedie_deviance(y_true, y_pred, sample_weight, power):
         )
     return jnp.average(dev, weights=sample_weight)
 
-    
+
 def _d2_tweedie_score(y_true, y_pred, sample_weight, power, re_use=None):
     p = power
     re_value = []
@@ -147,6 +147,7 @@ def explained_variance_score(
 
     return jnp.average(output_scores, weights=avg_weights)
 
+
 def mean_squared_error(
     y_true, y_pred, sample_weight=None, multioutput="uniform_average", squared=True
 ):
@@ -167,5 +168,6 @@ def mean_squared_error(
 def mean_poisson_deviance(y_true, y_pred, sample_weight=None):
     return _mean_tweedie_deviance(y_true, y_pred, sample_weight=sample_weight, power=1)
 
+
 def mean_gamma_deviance(y_true, y_pred, sample_weight=None):
     return _mean_tweedie_deviance(y_true, y_pred, sample_weight=sample_weight, power=2)