I am trying to load my spark model that I have registered using mlflow in databricks ( referring this documentation : https://learn.microsoft.com/en-us/azure/databricks/applications/mlflow/model-registry-example#load-versions-of-the-registered-model-using-the-api)
My Code is :
model_uri = "models:/{model_name}/{stage_name}".format(
model_name=model_name,stage_name=stage_name)
model = mlflow.spark.load_model(model_uri )
But this gives me following error :
: com.databricks.backend.daemon.data.common.InvalidMountException:
Error while using path /databricks/mlflow-registry/run-id/models/spark-model/sparkml
for resolving path '/run-id/models/spark-model/sparkml'
within mount at '/databricks/mlflow-registry'.
(Note: artifact_path passed by me while registering model was 'spark-model')
How can this error be resolved?
