Error with calling a machine learning serving endpoint

[notsure]

Hi!

I have registered a spark model and generated a serving endpoint based on that.

I am calling the endpoint with the relevant dataframe, somehow I got below errors. Could anyone show me how to tackle it, please?🙏

"Exception: Request failed with status 400, {"error_code": "BAD_REQUEST", "message": "Encountered an unexpected error while evaluating the model. Verify that the serialized input Dataframe is compatible with the model for inference. Error 'requirement failed: Column features must be of type class org.apache.spark.ml.linalg.VectorUDT:struct<type:tinyint,size:int,indices:array<int>,values:array<double>> but was actually class org.apache.spark.sql.types.StringType$:string.'"}

"

[jose_gonzalez]

Hi,

Can you share the request you are sending/using? please provide a screenshot and more details, so we will be able to provide a solution.

[Anonymous]

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