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The best Machine Learning on Spark

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Combine the fast, scalable machine learning algorithms of H2O with the capabilities of Spark. Drive computation from Scala/R/Python and utilize the H2O Flow UI.

Benefits

Seamlessly transition between Spark and H2O. Data mining in Spark plus Machine Learning in H2O.

Features

Enjoy MLib support in H2O Flow, run Scala code in Flow and export pipelines as executable java code for easy deployment.

Highlights

Deep learning, ensembles, GBM, GLM and DRF for accuracy. In memory processing and distributed for speed. R, Python, Flow, Tableau and Excel interfaces.

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With its elegant APIs, SQL, RDD - along with H2O’s speed, columnar-compression and fully featured machine learning algorithms, Sparkling Water was designed to allow users to get the best of Apache Spark.

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