For the regression models it adds only one column with the prediction for it.
For the regression models it adds only one column with the prediction for it.
For the multi-class models it adds one column per class with probability for that class. e.g target_{CLASS_NAME}_PREDICTION => target_Iris-setosa_PREDICTION,target_Iris-versicolor_PREDICTION,target_Iris-virginica_PREDICTION
input
output is an input DataFrame with additional columns with predictions.
A Spark API compatible Scoring Code model. For instantiating use the Predictors