"SystemDS: A Declarative Machine Learning System for the End-to-End Data ..."

Matthias Boehm et al. (2019)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2020-02-03

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-1909-02976
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1909-02976
Matthias Boehm, Iulian Antonov, Mark Dokter, Robert Ginthör, Kevin Innerebner, Florijan Klezin, Stefanie N. Lindstaedt, Arnab Phani, Benjamin Rath:
SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle. CoRR abs/1909.02976 (2019)

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