INNER CODE UNIT · Python

evaluate_single

google/fully-homomorphic-encryption · demos/cc_fraud/cleartext/evaluate_cleartext.py:55

def evaluate_single(
    model_path: str,
    feature_cols_path: str,
    data_path: str,
    sample_idx: int,
) -> None:
  """Loads the model and evaluates a single fraud detection sample."""
  resolved_model_path = resolve_path(model_path)
  if not os.path.exists(resolved_model_path):
    raise FileNotFoundError(
        f"Model file not found at {model_path} (resolved:"
        f" {resolved_model_path})"
    )

  print(f"Loading model from: {resolved_model_path}")
  checkpoint = torch.load(
      resolved_model_path, map_location="cpu", weights_only=False
  )

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