Spark Logistic Regression Learner (MLlib)

This node applies the Apache Spark Logistic Regression algorithm. It outputs the 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.

For more details about linear methods in Spark see the Linear methods section of the MLlib documentation.

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
   Logistic Regression Model
   Spark MLlib Logistic Regression Model