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....

0 min reading time