Updated September 23rd, 2024 by nelavelli.durganagajahnavi
Failing API calls in MLflow because of Float64 column values
Problem When calling the Databricks Machine Learning API to score a model endpoint, you notice the API calls failing as Float64 values in a column are not recognized. Exception: Request failed with status 400, {"error_code": "BAD_REQUEST", "message": "Incompatible input types for column {your-column-name}. Can not safely convert float64 to float32....
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