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Bootstrapping over model selection over multiple models is a very time consuming process (often > 8 hours on a single machine). This can make iterations on such projects very slow.
Approaches
option for parallelization over multiple machines
caching of results so that visualisation/summaries can be changed without re-running inference
progress indication
ability to pause/resume
The text was updated successfully, but these errors were encountered:
Bootstrapping over model selection over multiple models is a very time consuming process (often > 8 hours on a single machine). This can make iterations on such projects very slow.
Approaches
The text was updated successfully, but these errors were encountered: