diff --git a/kedro_mlflow/pipeline/pipeline_ml.py b/kedro_mlflow/pipeline/pipeline_ml.py
index b8c17a6..084e6ea 100644
--- a/kedro_mlflow/pipeline/pipeline_ml.py
+++ b/kedro_mlflow/pipeline/pipeline_ml.py
@@ -165,7 +165,16 @@ class PipelineML(Pipeline):
     def only_nodes_with_namespace(
         self, node_namespace: str
     ) -> "Pipeline":  # pragma: no cover
-        raise NotImplementedError(MSG_NOT_IMPLEMENTED)
+        import logging
+        logger = logging.getLogger(__name__)
+        logger.info(
+            "This method is not implemented because it does "
+            "not make sense for 'PipelineML'. "
+            "Manipulate directly the training pipeline and "
+            "recreate the 'PipelineML' with 'pipeline_ml_factory' factory. "
+            "(kedro-viz but should never be)"
+        )
+        return self.training.only_nodes_with_namespace(node_namespace)
 
     def only_nodes_with_inputs(self, *inputs: str) -> "PipelineML":  # pragma: no cover
         raise NotImplementedError(MSG_NOT_IMPLEMENTED)
@@ -235,7 +244,16 @@ class PipelineML(Pipeline):
         raise NotImplementedError(MSG_NOT_IMPLEMENTED)
 
     def __sub__(self, other):  # pragma: no cover
-        raise NotImplementedError(MSG_NOT_IMPLEMENTED)
+        import logging
+        logger = logging.getLogger(__name__)
+        logger.info(
+            "This method is not implemented because it does "
+            "not make sense for 'PipelineML'. "
+            "Manipulate directly the training pipeline and "
+            "recreate the 'PipelineML' with 'pipeline_ml_factory' factory. "
+            "(kedro-viz but should never be)"
+        )
+        return self.training - other
 
     def __and__(self, other):  # pragma: no cover
         # kept for compatibility with KedroContext _filter_pipelinefunction