Spark MLlib Decision Tree

This workflow demonstrates the usage of the Spark MLlib Decision Tree Learner and Spark Predictor. It also demonstrates the conversion of categorical columns into numerical columns which is necessary since the MLlib algorithms only support numerical features and labels.

Spark MLlib Decision Tree

 

Resources

EXAMPLES Server: 10_Big_Data/02_Spark_Executor/01_Spark_MLlib_Decision_Tree10_Big_Data/02_Spark_Executor/01_Spark_MLlib_Decision_Tree*
Download a zip-archive

References:

 

 


* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually