Feature Classifier classify-sklearn running out of memory on moving pictures tutorial

I am trying to complete the moving pictures tutorial for taxonomic analysis on an AWS server, however I keep running out of memory. I am running the m3.2xLarge server with 30GiB of Mem and 8 cpus. I have tried reducing the read per batch and changing the number of cores to no avail. Do I need a larger server or am I just missing something?

Hi @Matt_Kizaric - sorry to hear things aren't working out for you :frowning:.

Does this mean you are running the Moving Pictures tutorial with the tutorial data provided? Or, are you running your own data, but following the Moving Pictures as a guide?

In order for us to provide support I need the following information:

  • What version of QIIME 2 are you running?
  • What is the exact command you are running that is failing? Please copy-and-paste the full command or commands.
  • What is the exact error message you are seeing? Please copy-and-paste the results/error when running the command with the --verbose flag.

Thanks! :t_rex:

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