In this week’s Whiteboard Walkthrough, Rachel Silver, Ecosystem Product Manager at MapR, talks about MapR Ecosystem Packs or MEPs that give you a convenient way to upgrade open source ecosystem components without having to upgrade the core MapR platform. The open source components in MEPs have been tested to be functionally interoperable within the MEP so that you can spend more time processing/analyzing data and less time troubleshooting your stack.
Random forests are one of the most successful machine learning models for classification. In this blog post, I’ll help you get started using Apache Spark’s spark.ml Random forests for classification of bank loan credit risk.
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