That's great Marek. While you're working on this, keep in mind how your 
benchmarks could be used as regression tests for release stabilization. 

Matt

Sent from my MegaPhone

> On Nov 17, 2013, at 3:00 PM, Marek Otahal <[email protected]> wrote:
> 
> I'm about to create and carry out some benchmarks of the CLA. 
> 
> I would be happy to hear suggestions what to benchmark (keep it reasonable 
> for starters, I have nothing;) ), even more for help coding and carrying the 
> experiments and interpreting them. 
> 
> I'm in a hurry so I'll see what I can do. This way I'd like to ask, can 
> Numenta or any of you share scripts or reports of some such benchmarks? 
> 
> Things I'd like to (eventually) do: 
> 
> 1/ speed and memory requirements of the encoders/SP/TP: 
> (in regards to #columns), I've measured these, so will post results. 
> 
> 2/ (most interesting) information capacity of SP, TP and plasticity: 
> -given spatial pooler with fixed #cols (what's reasonable min? 512?) 
> see how many patters can it distinguish in a given number of learning rounds. 
> -how fasts it adapts when I change the dataset? 
> -if I'm right, the theoretical capacity is insane: n!/(n-k)!k! for 1000cols 
> and 2% sparsity. What is the practical limit? 
> 
> -for TP: given n-sequences, what's the max length f the sequences it can 
> recall? 
> -test with hardest sequences? (AAAAAAAAAAAAAAAAAAAAAAAAAAAAB)
> -resistance to noice (I think Subutai did these? Could we have the graphs, 
> scripts, please?)
> 
> 3/ some classical sequence mining, patterm matching datasets
> 
> 4/ how do the patterns stabilize with hierarchy? (if I can run the code)
> 
> TY.
> 
> -- 
> Marek Otahal :o)
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