MLlib: Machine Learning in Apache Spark
University of California, Berkeley · Janelia Research Campus · +2 more institutions
Abstract
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…
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16Topics & keywords
- SPARK (programming language)
- Computer science
- Documentation
- Open source
- Machine learning
- Artificial intelligence
- Range (aeronautics)
- Scale (ratio)