Do not log any artifacts if mlflow logging is disabled

Closes #76 (closed)

There was one last MLflow API call that was always done regardless of mlflow_logging status.

dan/manager/training.py

@@ -853,8 +853,9 @@ class GenericTrainingManager:
             with open(path, "w") as f:
                 yaml.dump(metrics, stream=f)
 
-            # Log mlflow artifacts
-            mlflow.log_artifact(path, "predictions")
+            if mlflow_logging:
+                # Log mlflow artifacts
+                mlflow.log_artifact(path, "predictions")
 
     def output_pred(self, name):
         path = os.path.join(