def iteration(group):
List = []
for i in range(10):
# createToyData
X1 = X[:,:,i]
prec1 = prec[:,:,i]
rho = 0.01
alpha = 0.01
# GroupGraphicLasso to get all vertex and edges list
List = GG.gSpanList(X1,i,List,group,rho,alpha)
# save list to database.txt
GG.saveDatabase(List)
# gspan
orig_stdout = sys.stdout
f = file('result.txt', 'w')
sys.stdout = f
tG.Gspan(0.5)
sys.stdout = orig_stdout
f.close()
# gspan to group
graph_c = GG.transforGroupInfo(r"result.txt")
group,truegroups = GG.transformat(graph_c)
# embedding map
subgraph = GG.embedding(group)
orig_stdout = sys.stdout
f = open('group.txt', 'a')
sys.stdout = f
print "******************************"
print truegroups
sys.stdout = orig_stdout
f.close()
return truegroups
import numpy as np
import testGspan as tG
import sys
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as py
n = 100
f = 20
X = np.zeros([100,20,10])
prec = np.zeros([20,20,10])
for i in range(10):
X1,prec1 = GG.createToyData_spd(ranNum = i+100)
X[:,:,i] = X1
prec[:,:,i] = prec1
s = "groudtruth"+str(i)+".jpg"
py.imshow(prec1)
py.savefig(groudtruth)
def iteration(group):
List = []
for i in range(10):
# createToyData
X1 = X[:,:,i]
prec1 = prec[:,:,i]
