Different Strategies of Scaling H2O Machine Learning on Apache Spark
summary
Overview of using Sparkling Water to run H2O machine learning on Apache Spark, including its architecture and how it integrates with Scala, Python, R and H2O Flow. Compares multiple scaling strategies introduced in Sparkling Water 2.0, explains pros and cons for different workloads and use cases, and includes a live demo showing how to configure and run those approaches.
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