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Paper detail

MLlib: Machine Learning in Apache Spark

Apache Spark is a popular open-source platform for large-scale data processing that is well-suited for iterative machine learning tasks. In this paper we present MLlib, Spark's open-source distributed machine learning library. MLlib provides efficient functionality for a wide range of learning settings and includes several underlying statistical, optimization, and linear algebra primitives. Shipped with Spark, MLlib supports several languages and provides a high-level API that leverages Spark's rich ecosystem to simplify the development of end-to-end machine learning pipelines. MLlib has experienced a rapid growth due to its vibrant open-source community of over 140 contributors, and includes extensive documentation to support further growth and to let users quickly get up to speed.

preprint2015arXivOpen access
Xiangrui MengJoseph BradleyBurak YavuzEvan SparksShivaram VenkataramanDavies LiuJeremy FreemanDB TsaiManish AmdeSean OwenDoris XinReynold XinMichael J. FranklinReza ZadehMatei ZahariaAmeet Talwalkar
Mathematical SoftwareMachine LearningDistributed, Parallel, and Cluster Computing
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Xiangrui MengJoseph BradleyBurak YavuzEvan SparksShivaram VenkataramanDavies LiuJeremy FreemanDB TsaiManish AmdeSean OwenDoris XinReynold XinMichael J. FranklinReza ZadehMatei ZahariaAmeet Talwalkar

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