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This repository has been archived by the owner on Jul 15, 2019. It is now read-only.
line 1056 in lsh.py suggests to use N=100000 data points.
but the create procedure python2.6 lsh.py -d 5 -create needs to find out the nearest neighbors for N points using brutal force i.e. quadratic complexity. For N=100000, it would never finish. I tried just N=1000 and the create procedure finishes within 1 minute.
Another thing on doc/examples.html is also, I believe, inaccurate.
D=5; N=100000;
clear results for r=0:2 results(r+1) = CalculateMPLSHParameters(D, N, ... dnnHist, dnnBins, danyHist, danyBins, deltaTarget, r, uHash, uCheck); end
But the matlab function CalculateMPLSHParameters isn't in the repo (did I miss something here?).
I changed that line to this and worked for me. results(r+1) = CalculateLSHParameters( N, dnnHist, dnnBins, danyHist, danyBins);
The text was updated successfully, but these errors were encountered:
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line 1056 in lsh.py suggests to use N=100000 data points.
but the create procedure
python2.6 lsh.py -d 5 -create
needs to find out the nearest neighbors for N points using brutal force i.e. quadratic complexity. For N=100000, it would never finish. I tried just N=1000 and the create procedure finishes within 1 minute.Another thing on
doc/examples.html
is also, I believe, inaccurate.But the matlab function
CalculateMPLSHParameters
isn't in the repo (did I miss something here?).I changed that line to this and worked for me.
results(r+1) = CalculateLSHParameters( N, dnnHist, dnnBins, danyHist, danyBins);
The text was updated successfully, but these errors were encountered: