Treffer: HyperStream:a Workflow Engine for Streaming Data
Title:
HyperStream:a Workflow Engine for Streaming Data
Authors:
Source:
Diethe, T, Kull, M, Twomey, N, Sokol, K, Song, H, Perello-Nieto, M, Tonkin, E & Flach, P 2019, 'HyperStream : a Workflow Engine for Streaming Data', arXiv. https://doi.org/10.48550/arXiv.1908.02858
Publication Year:
2019
Collection:
University of Bristol: Bristol Reserach
Document Type:
Fachzeitschrift
article in journal/newspaper
Language:
unknown
DOI:
10.48550/arXiv.1908.02858
Availability:
Rights:
info:eu-repo/semantics/restrictedAccess
Accession Number:
edsbas.332C5148
Database:
BASE
Weitere Informationen
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.