Also validate the other side

mlos_core/mlos_core/spaces/adapters/llamatune.py

@@ -244,6 +244,15 @@ def transform(self, configuration: pd.DataFrame) -> pd.DataFrame:
  orig_values_dict = self._transform(target_values_dict)
  orig_configuration = normalize_config(self.orig_parameter_space, orig_values_dict)
 
+ # Validate that the configuration is in the original space.
+ try:
+ self.orig_parameter_space.check_configuration(orig_configuration)
+ except ConfigSpace.exceptions.IllegalValueError as e:
+ raise ValueError(
+ f"Invalid configuration {orig_configuration} generated by "
+ f"transformation of {target_configuration}:\n{e}"
+ ) from e
+
  # Add to inverse dictionary -- needed for registering the performance later
  self._suggested_configs[orig_configuration] = target_configuration