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]