How do I convert to ONNX a Spark ML model with multiple input columns and use it for scoring dynamic batch size?

Question

I converted a logistic regression model with dynamic batch size from Spark ML to ONNX using this:

initial_types = [(\'Features\', FloatTensorType([None, 5]))]
onn