fix: output_type for tutorial

src/predictions/profiles_mlcorelib/py_native/id_stitcher/audit.py

@@ -26,7 +26,7 @@ class AuditIdStitcherModel(BaseModelType):
     }
 
     def __init__(self, build_spec: dict, schema_version: int, pb_version: str) -> None:
-        build_spec["materialization"] = {"output_type": "ephemeral"}
+        build_spec["materialization"] = {"output_type": "shell"}
         super().__init__(build_spec, schema_version, pb_version)
         self.recipe = ModelRecipe(self.build_spec)
 

src/predictions/profiles_mlcorelib/py_native/profiles_tutorial/model.py

@@ -23,6 +23,7 @@ class TutorialModel(BaseModelType):
     }
 
     def __init__(self, build_spec: dict, schema_version: int, pb_version: str) -> None:
+        build_spec["materialization"] = {"output_type": "shell"}
         super().__init__(build_spec, schema_version, pb_version)
 
     def get_material_recipe(self) -> PyNativeRecipe:

src/predictions/profiles_mlcorelib/py_native/propensity.py

@@ -94,8 +94,7 @@ def __init__(
         parent_folder: WhtFolder,
         model_name: str,
     ) -> None:
-        # ephemeral materialization so that pb doesn't try to validate the output of the model
-        build_spec["materialization"] = {"output_type": "ephemeral"}
+        build_spec["materialization"] = {"output_type": "none"}
         super().__init__(build_spec, schema_version, pb_version)
         training_model_name = model_name + "_training"
         training_spec = self._get_training_spec()