A data scientist is working on a regression task in Databricks using Spark MLlib. They have computed predictions and true labels stored in the DataFrame regression_preds_df with the following schema: prediction DOUBLE label DOUBLE Which of the following code blocks can be used to compute the mean absolute error (MAE) for the regression model?