Mercurial > hg > nsaunier > traffic-intelligence

comparison python/utils.py @ 375:2ea8584aa80a

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making indicator LCSS work
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Wed, 17 Jul 2013 01:29:25 -0400
parents a7af3519687e
children 2e6b8610bcaa
comparison
equal deleted inserted replaced
374:a7af3519687e 375:2ea8584aa80a
287 287
288 def compute(self, l1, l2, computeSubSequence = False): 288 def compute(self, l1, l2, computeSubSequence = False):
289 '''get methods are to be shadowed in child classes ''' 289 '''get methods are to be shadowed in child classes '''
290 return self._compute(l1, l2, computeSubSequence) 290 return self._compute(l1, l2, computeSubSequence)
291 291
292 def computeAlignement(self): 292 def computeAlignment(self):
293 from numpy import mean 293 from numpy import mean
294 return mean([j-i for i,j in self.subSequenceIndices]) 294 return mean([j-i for i,j in self.subSequenceIndices])
295 295
296 def _computeNormalized(self, l1, l2): 296 def _computeNormalized(self, l1, l2):
297 ''' compute the normalized LCSS 297 ''' compute the normalized LCSS
298 ie, the LCSS divided by the min or mean of the indicator lengths (using lengthFunc) 298 ie, the LCSS divided by the min or mean of the indicator lengths (using lengthFunc)
299 lengthFunc = lambda x,y:float(x,y)/2''' 299 lengthFunc = lambda x,y:float(x,y)/2'''
300 return float(self.compute(l1, l2))/self.lengthFunc(len(l1), len(l2)) 300 return float(self._compute(l1, l2))/self.lengthFunc(len(l1), len(l2))
301 301
302 def computeNormalized(self, l1, l2): 302 def computeNormalized(self, l1, l2):
303 return self._computeNormalized(l1, l2) 303 return self._computeNormalized(l1, l2)
304 304
305 def _computeDistance(self, l1, l2): 305 def _computeDistance(self, l1, l2):
306 ''' compute the LCSS distance''' 306 ''' compute the LCSS distance'''
307 return 1-self.computeNormalized(l1, l2) 307 return 1-self._computeNormalized(l1, l2)
308 308
309 def computeDistance(self, l1, l2): 309 def computeDistance(self, l1, l2):
310 return self._computeDistance(l1, l2) 310 return self._computeDistance(l1, l2)
311 311
312 ######################### 312 #########################