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HyperStream: a Workflow Engine for Streaming Data

Research output: Contribution to journalArticle

Original languageUndefined/Unknown
JournalarXiv
DatePublished - 7 Aug 2019

Abstract

This paper describes HyperStream, a large-scale, flexible and robust software package, written in the Python language, for processing streaming data with workflow creation capabilities. HyperStream overcomes the limitations of other computational engines and provides high-level interfaces to execute complex nesting, fusion, and prediction both in online and offline forms in streaming environments. HyperStream is a general purpose tool that is well-suited for the design, development, and deployment of Machine Learning algorithms and predictive models in a wide space of sequential predictive problems. Source code, installation instructions, examples, and documentation can be found at: https://github.com/IRC-SPHERE/HyperStream.

    Research areas

  • cs.LG, cs.SY, eess.SY, stat.ML

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