Hi All, the last time I trained a classifier on a silva data set I used up to around 36GB of memory. To some extent silva data sets will always be hungry for memory because they have a massive number of taxonomic classes, but it may be possible to reduce this requirement by reducing the chunk size. I will do some experimentation with that when I get time, probably by Sunday your time.
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