Memory reduction/optimization

Hello! I am working with NuPIC in my timeseries analysis and it’s working pretty well for me!
A problem that I encountered though is that a model requires quite an amount of memory and this can be impairing in the case of a huge number of streams being analyzed in parallel.
Is there any way that you could suggest to mitigate this problem maybe reducing the amount of memory needed?


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I have the same problems. Possible approaches:

TL;DR: it is bad, will improve a bit along with speed once we use special library

EDIT: link to the other discussion

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Thank you very much!