Hello German,

Thanks for you feedback!

I will definitely look into the model size. It is true that for IoT
devices ROM memory is a rare resource. I will keep you updated each week
and I will try to give more details about work realized.

Best regards,

Omar


On 05/27, Germán Lancioni wrote:
> Sorry, I meant Omar, great work!
> ________________________________
> From: Germán Lancioni <[email protected]>
> Sent: Wednesday, May 27, 2020 11:06 AM
> To: Ryan Birmingham <[email protected]>; Omar Shrit <[email protected]>
> Cc: [email protected] <[email protected]>
> Subject: Re: [mlpack] GSOC'20 mlpack on constrained devices - weekly updates
> 
> Hey Ryan,
> 
> Great progress! This is one of the projects that I believe is quite useful 
> for IoT and cloud latency mitigation in RT apps, so exited to see development 
> on this front.
> 
> A couple of notes that may help:
> 
> 1) If you haven't tried yet, you can play a bit with the different 
> dependencies to get an even smaller footprint. I.e. explore other BLAS/LAPACK 
> implementations.
> 2) Disk footprint is composed by library size (~4MB in your case) + model 
> size. I've recently discovered that some models (when saved) are 10x bigger 
> than let's say sklearn models. Maybe it's a stretch goal, but you could 
> probably explore how to downsize serialized models as well. After all, a real 
> world application would need both the library and the model to fit into i.e. 
> 10MB.
> 
> Please keep us updated, amazing work!
> 
> Regards,
> German
> 
> ________________________________
> From: mlpack <[email protected]> on behalf of Ryan Birmingham 
> <[email protected]>
> Sent: Wednesday, May 27, 2020 10:19 AM
> To: Omar Shrit <[email protected]>
> Cc: [email protected] <[email protected]>
> Subject: Re: [mlpack] GSOC'20 mlpack on constrained devices - weekly updates
> 
> Cool project and update! Thanks for sharing!
> -Ryan Birmingham
> 
> 
> On Wed, May 27, 2020 at 12:38 PM Omar Shrit 
> <[email protected]<mailto:[email protected]>> wrote:
> 
> Hello everyone,
> 
> You can find here my weekly updates on my GSOC project for the last week.
> 
> https://shrit.me/blog/
> 
> Best regards,
> 
> Omar
> _______________________________________________
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> [email protected]<mailto:[email protected]>
> http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack

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