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Machine Learning for spatiotemporal data using mlr3

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Machine Learning for spatiotemporal data using mlr3
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57
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CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Release Date2021
LanguageEnglish
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Production PlaceWageningen

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Abstract
Patrick Schratz is an R consultant at cynkra, Zurich, and in this talk he presented the mlr3 package for R. This package is geared towards scalability and larger datasets by supporting parallelization and out-of-memory data-backends like databases. While 'mlr3' focuses on the core computational operations, add-on packages provide additional functionality.
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