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You have a trained machine learning model that you want to apply in parallel using a Pandas UDF in Spark. Provide a detailed explanation of how you would implement this, including the steps involved and any considerations to keep in mind.
A
Use the Pandas UDF to apply the model to each row of the Spark DataFrame individually.
B
Use the Pandas UDF to apply the model to each partition of the Spark DataFrame in parallel.
C
Use the Pandas UDF to apply the model to the entire Spark DataFrame at once.
D
Use the Pandas UDF to apply the model to a subset of the Spark DataFrame.
