def run_Kd_standard(self, param):
logging.debug('building Kd_standard...')
tree = Kd_standard(self.data, param)
start = time.clock()
tree.buildIndex()
tree.adjustConsistency()
end = time.clock()
logging.info('[T] Kd-standard building time: %.2f' % (end - start))
return self.query(tree)
def run_Kd_standard(self, param):
logging.debug('building Kd_standard...')
tree = Kd_standard(self.data, param)
start = time.clock()
tree.buildIndex()
tree.adjustConsistency()
end = time.clock()
logging.info('[T] Kd-standard building time: %.2f' % (end - start))
return self.query(tree)
def run_Kd_noisymean(self, param):
logging.debug('building Kd_noisymean...')
param.splitScheme = 'noisyMean'
tree = Kd_standard(self.data, param)
start = time.clock()
tree.buildIndex()
tree.adjustConsistency()
end = time.clock()
logging.info('[T] Kd-noisymean building time: %.2f' % (end - start))
return self.query(tree)
def run_Kd_noisymean(self, param):
logging.debug('building Kd_noisymean...')
param.splitScheme = 'noisyMean'
tree = Kd_standard(self.data, param)
start = time.clock()
tree.buildIndex()
tree.adjustConsistency()
end = time.clock()
logging.info('[T] Kd-noisymean building time: %.2f' % (end - start))
return self.query(tree)