Spark Random Forests Learner (MLlib)

This node applies the Apache Spark random forests* algorithm.

Please note that all data must be numeric, including the label column. Use the Spark Category To Number nodes to convert nominal values to numeric columns. The mapping dictionary of the converter node is the input of the second in port of this node.

Use the Spark Predictor node to apply the learned model to unseen data.

(*) RANDOM FORESTS is a registered trademark of Minitab, LLC and is used with Minitab’s permission.

Input ports

1. Type: Spark Data
   Input data
   Input Spark DataFrame/RDD
2. Type: PMML
   PMML mapping dictionary
   PMML with the nominal values mapping dictionary (optional)

Output ports

1. Type: Spark MLlib Model
   Random Forests Model
   Spark MLlib Random Forests Model