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

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machine_learning/dimensionality_reduction.py

@@ -183,11 +183,11 @@ def linear_discriminant_analysis(
  # Add regularization to avoid singular matrix
  sw = covariance_within_classes(features, labels, classes)
  sb = covariance_between_classes(features, labels, classes)
- 
+
  # Regularize the within-class covariance matrix
  reg_param = 1e-6
  sw_reg = sw + reg_param * np.eye(sw.shape[0])
- 
+
  try:
  _, eigenvectors = eigh(sb, sw_reg)
  filtered_eigenvectors = eigenvectors[:, ::-1][:, :dimensions]
@@ -212,6 +212,7 @@ def linear_discriminant_analysis(
  logging.error("Dataset empty")
  raise AssertionError
 
+
 def locally_linear_embedding(
  features: np.ndarray, dimensions: int, n_neighbors: int = 12, reg: float = 1e-3
 ) -> np.ndarray: