Spark MLlib

Apache Spark MLlib is a machine learning library which runs on top of Spark core. It supports distributed computing and it can scale vertically and horizontally. It offers APIs for Java, Scala, Python, R and SQL. It provides tools such as:

  • ML Algorithms: common learning algorithms such as classification, regression, clustering, and collaborative filtering

  • Featurization: feature extraction and selection, transformation, dimensionality reduction

  • Pipelines: tools for constructing, evaluating, and tuning ML pipelines

  • Persistence: saving and loading of algorithms, models and pipelines

  • Utilities: linear algebra, statistics, data handling, etc.

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