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A Survey of Open Source Automation Tools for Data Science Predictions

arXiv 2208.11792 ↗First posted 24 Aug 2022cs.LGcited by 0

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Abstract (arXiv)

We present an expository overview of technical and cultural challenges to the development and adoption of automation at various stages in the data science prediction lifecycle, restricting focus to supervised learning with structured datasets. In addition, we review popular open source Python tools implementing common solution patterns for the automation challenges and highlight gaps where we feel progress still demands to be made.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 27 of its 118 references that are in the map. First posted on arXiv 24 Aug 2022.

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27 of 118 references.

References · 27

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15 more
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  15. 2018Prediction Factory: automated development and collaborative evaluation of predictive modelscited by 1

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