force deploy new model in automl notebook retail

demo-retail/lakehouse-retail-c360/04-Data-Science-ML/04.2-automl-generated-notebook.py

@@ -570,7 +570,7 @@ def objective(params):
 model_name = "dbdemos_customer_churn"
 
 #Set to true to redeploy your actual model (we skip it by default to make the demo faster)
-force_redeploy = False
+force_redeploy = True
 
 #Use Databricks Unity Catalog to save our model
 mlflow.set_registry_uri('databricks-uc')