Mercurial Hosting > traffic-intelligence
diff scripts/performance-lcss.py @ 746:e7ff0f60fef8
merged new developments (indicator and trajectory clustering)
author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
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date | Thu, 10 Sep 2015 15:52:45 -0400 |
parents | a850a4f92735 |
children | 933670761a57 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/scripts/performance-lcss.py Thu Sep 10 15:52:45 2015 -0400 @@ -0,0 +1,12 @@ +#! /usr/bin/env python + +import timeit + +vectorLength = 10 +number = 10 + +print('Default Python implementation with lambda') +print timeit.timeit('lcss.compute(random_sample(({},2)), random_sample(({}, 2)))'.format(vectorLength, vectorLength*2), setup = 'from utils import LCSS; from numpy.random import random_sample; lcss = LCSS(similarityFunc = lambda x,y: (abs(x[0]-y[0]) <= 0.1) and (abs(x[1]-y[1]) <= 0.1));', number = number) + +print('Using scipy distance.cdist') +print timeit.timeit('lcss.compute(random_sample(({},2)), random_sample(({}, 2)))'.format(vectorLength, vectorLength*2), setup = 'from utils import LCSS; from numpy.random import random_sample; lcss = LCSS(metric = "cityblock", epsilon = 0.1);', number = number)