Spark Naive Bayes Learner (MLlib)

This node applies the Apache Spark Naive Bayes algorithm. It outputs the original data and the Naive Bayes predictions for the result preview as well as the learned model for later application.

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 second in port of this node.

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

Input ports

1. Type: Spark Data
   Input data
   Input Spark DataFrame/RDD

Output ports

1. Type: Spark MLlib Model
   Naive Bayes Model
   Spark MLlib Naive Bayes Model