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Description:"Interact with Spark using familiar R interfaces such as dplyr, broom, and DBI. Access Spark's distributed Machine Learning libraries and extend your toolbox with XGBoost, MLeap, H2O, and Graphframes."...

Keywords:sparklyr, R interface, Apache Spark, Machine Learning, XGBoost, MLeap, H2O, Graphframes...

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sparklyr - Spark Machine Learning Library (MLlib) - RStudio
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sparklyr - Intro to Model Tuning - RStudio
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sparklyr - tidymodels and Spark - RStudio
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Get Started Guides Deployment News Reference Packages Learn more R interface to Apache Spark ™ Interact with Spark using familiar R interfaces, such as dplyr , broom , and DBI . Gain access to Spark’s distributed Machine Learning libraries, Structure Streaming ,and ML Pipelines from R. Extend your toolbox by adding XGBoost , MLeap , H2O and Graphframes to your Spark plus R analysis. Connect R wherever Spark runs: Hadoop, Mesos, Kubernetes, Stand Alone, and Livy . Run distributed R code inside Spark Get Started Welcome new users! Start here to learn how to install and use . Guides How-to” articles to help you learn how to do things such as: connect AWS S3 buckets, handling Streaming Data, create ML Pipelines and others. Deployment Articles on Spark environments. Including AWS EMR, Databricks and...

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