Spark Predictor (Regression)

This node applies regression to input data using a previously learned Spark ML regression model. Please note that all feature columns selected during model training must be present in the ingoing DataFrame.

Note: This node is not compatible with Spark MLlib models. For these models please use the Spark Predictor node.

This node requires at least Apache Spark 2.0.

Input ports

1. Type: Spark ML Model
   Spark ML Model
   Spark ML regression model to use.
2. Type: Spark Data
   Input Data
   Spark DataFrame containing the input data to apply regression on.

Output ports

1. Type: Spark Data
   Labeled Data
   Input DataFrame with appended prediction column.