Machine Learning: Using the H2O Framework with Apache Spark Clusters on Qubole

H2O’s Sparkling Water allows users to utilize H2O machine learning algorithms on Qubole Spark. With Sparkling Water, users can drive computation from Scala/R/Python and utilize H2O Flow UI, providing an excellent machine learning platform for application developers.

This article describes how to enable distributed machine learning with H2O framework on Qubole Spark clusters to train H2O models on large datasets from cloud-based data lake.

Please continue reading this article on the Qubole Blog: https://www.qubole.com/blog/machine-learning-using-h2o-framework-apache-spark-clusters-qubole/