Mercurial > hg > nsaunier > traffic-intelligence

comparison scripts/learn-poi.py @ 1012:01db14e947e4

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resolved
author Wendlasida
date Fri, 01 Jun 2018 10:47:49 -0400
parents 933670761a57
children cc5cb04b04b0
comparison
equal deleted inserted replaced
1011:4f0312bee393 1012:01db14e947e4
1 #! /usr/bin/env python 1 #! /usr/bin/env python3
2 2
3 import argparse 3 import argparse
4 4
5 import numpy as np 5 import numpy as np
6 from sklearn import mixture 6 from sklearn import mixture
76 gmmId += 1 76 gmmId += 1
77 77
78 if args.assign: 78 if args.assign:
79 storage.savePOIAssignments(args.databaseFilename, objects) 79 storage.savePOIAssignments(args.databaseFilename, objects)
80 if args.displayPaths: 80 if args.displayPaths:
81 for i in xrange(args.nOriginClusters): 81 for i in range(args.nOriginClusters):
82 for j in xrange(args.nDestinationClusters): 82 for j in range(args.nDestinationClusters):
83 odObjects = [o for o in objects if o.od[0] == i and o.od[1] == j] 83 odObjects = [o for o in objects if o.od[0] == i and o.od[1] == j]
84 if len(odObjects) > 0: 84 if len(odObjects) > 0:
85 fig = plt.figure() 85 fig = plt.figure()
86 ax = fig.add_subplot(111) 86 ax = fig.add_subplot(111)
87 ml.plotGMM(models['beginning'].means_[i], models['beginning'].covariances_[i], i, fig, 'b') 87 ml.plotGMM(models['beginning'].means_[i], models['beginning'].covariances_[i], i, fig, 'b')