[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
kjappelbaum · Nov 13, 2023 · 8e3054f · 8e3054f
1 parent 51a447b
commit 8e3054f
Show file tree

Hide file tree

Showing 3 changed files with 1 addition and 3 deletions.
diff --git a/src/pyepal/models/coregionalized.py b/src/pyepal/models/coregionalized.py
@@ -43,7 +43,6 @@ def __init__(  # pylint:disable=too-many-arguments
         W_rank=1,
         kernel_name="coreg",
     ):
-
         # Input and Output
         (
             X,  # pylint:disable=invalid-name

diff --git a/src/pyepal/pal/pal_gpy.py b/src/pyepal/pal/pal_gpy.py
@@ -91,7 +91,6 @@ def _train(self):
         pass  # There is no training in instance based models
 
     def _predict(self):
-
         from ..models.gpr import predict  # pylint:disable=import-outside-toplevel
 
         means, stds = [], []

diff --git a/src/pyepal/pal/pal_neural_tangent.py b/src/pyepal/pal/pal_neural_tangent.py
@@ -37,6 +37,7 @@
 
 __all__ = ["PALNT", "NTModel"]
 
+
 # We move those functions out of the class so that we can parallelize them
 def _set_one_infinite_width_model(  # pylint:disable=too-many-arguments
     i: int,
@@ -127,7 +128,6 @@ def __init__(self, *args, **kwargs):
     def _set_data(self):
         self.design_space = self.design_space_scaler.fit_transform(self.design_space)
         for i, _ in enumerate(self.models):
-
             predict_fn, scaler = _set_one_infinite_width_model(
                 i,
                 self.models,