Mercurial Hosting > traffic-intelligence
view scripts/performance-lcss.py @ 1242:4cd8ace3552f
major update for classification, allowing the use of neural network classification
author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
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date | Wed, 07 Feb 2024 11:43:03 -0500 |
parents | 933670761a57 |
children |
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#! /usr/bin/env python3 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))