remove fdr_metric logging again

Author: mschwoer

alphadia/fdr/classifiers.py

@@ -339,9 +339,7 @@ def fit(self, x: np.ndarray, y: np.ndarray) -> None:  # noqa: PLR0915 # Too many
             y = np.stack([1 - y, y], axis=1)
 
         x_train, x_test, y_train, y_test = train_test_split_(
-            x,
-            y,
-            test_size=self.test_size,
+            x, y, test_size=self.test_size
         )
         x_test = torch.Tensor(x_test)
         y_test = torch.Tensor(y_test)
@@ -413,7 +411,6 @@ def fit(self, x: np.ndarray, y: np.ndarray) -> None:  # noqa: PLR0915 # Too many
                             )
                             / len(y_test)
                         )
-
                     self.network.train()
 
                 batch_count += 1

alphadia/workflow/peptidecentric/extraction_handler.py

@@ -11,7 +11,6 @@
 from alphadia.peakgroup.search import HybridCandidateSelection
 from alphadia.plexscoring.config import CandidateConfig
 from alphadia.plexscoring.plexscoring import CandidateScoring
-from alphadia.workflow.managers.fdr_manager import FDRManager
 
 try:
     from alphadia_ng import (
@@ -23,6 +22,7 @@
         SelectionParameters,
     )
 
+    from alphadia.workflow.managers.fdr_manager import FDRManager
     from alphadia.workflow.peptidecentric.ng.ng_mapper import (
         candidates_to_ng,
         parse_candidates,