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shuzhao-li-lab / asari

asari, metabolomics data preprocessing
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Caching of Pickles #65

Closed jmmitc06 closed 1 year ago

jmmitc06 commented 1 year ago

Currently the end user has to decide if an experiment should be ran in memory mode or ondisk mode or trust that the default parameter for determining a large vs. small experiment is sufficient for their experiment. A simple caching mechanism in samples.py would eliminate the need for any hard coding here.

jmmitc06 commented 1 year ago

This is now implemented as of [implement_join a5f5990], using database mode "auto"