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arXiv · 1908.02858

HyperStream: a Workflow Engine for Streaming Data

Tom Diethe·Meelis Kull·Niall Twomey·Kacper Sokol·Hao Song·Miquel Perello-Nieto·Emma Tonkin·Peter Flach
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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.

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Tom Diethe, Meelis Kull, Niall Twomey, Kacper Sokol, Hao Song, Miquel Perello-Nieto, Emma Tonkin, Peter Flach. 2019-08-07. HyperStream: a Workflow Engine for Streaming Data. https://arxiv.org/abs/1908.02858

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