def build_precision(muti):
precision={}
precisionold={}
voisinages_pos={}
voisinages={}
muti_pos = {}
for x, y in muti.iteritems():
if y>0:
muti_pos[x]=y
temp=voisinages_pos.get((x[0],x[2]),[])
temp.append(x[1])
voisinages_pos[(x[0],x[2])]=temp
print "voisinages_pos ecrite"
muti=muti_pos
compt=0
N=len(voisinages_pos.keys())
muti2d = convert_muti3d_muti2d(muti)
print 'matrice d information mutuelle 2d calculée'
for element1,contextes in voisinages_pos.iteritems():
terme1 = element1[0]
inter = int(element1[1])
compt+=1
if not compt%100:
print '(#'+str(compt)+" sur "+str(N) +")"
MI_terme1 = muti2d[(terme1,inter)]
denom = sum(MI_terme1.values())
for cont,val in MI_terme1.iteritems():
if cont != terme1:
MI_terme2 = muti2d[(cont,inter)]
somme_min = fonctions_lib.merge0(MI_terme1, MI_terme2, lambda x,y: min(x,y))
precision[(cont,terme1,inter)] = sum(somme_min.values())/denom
print 'matrice de precision calculée'
return precision
def build_precision(muti):
precision={}
precisionold={}
voisinages_pos={}
voisinages={}
muti_pos = {}
# for x,y in muti.iteritems():
# if y>0:
# muti_pos[x]=y
# temp=voisinages_pos.get((x[0],x[2]),[])
# temp.append(x[1])
# voisinages_pos[(x[0],x[2])]=temp
# print "voisinages_pos ecrite"
# muti=muti_pos
# compt=0
# N=len(voisinages_pos.keys())
# muti2d = convert_muti3d_muti2d(muti)
# print 'matrice d information mutuelle 2d calculée'
#for element1,contextes in voisinages_pos.iteritems():
compt=0
N=len(muti.keys())
for terme1,muti_terme1 in muti.iteritems():
compt+=1
if not compt%100:
print '(#'+str(compt)+" sur "+str(N) +")"
denom = sum(muti_terme1.values())
for terme2 in muti_terme1.keys():#on itere donc sur les termes2 qui ont cooccuré au moins deux fois avec terme1
muti_terme2 = muti[terme2]
somme_min = fonctions_lib.merge0(muti_terme1, muti_terme2, lambda x,y: min(x,y))
precision[(terme1,terme2)] = sum(somme_min.values())/denom
#
#
# terme1 = element1[0]
# inter = int(element1[1])
# MI_terme1 = muti2d[(terme1,inter)]
# denom = sum(MI_terme1.values())
# for cont,val in MI_terme1.iteritems():
# if cont != terme1:
# MI_terme2 = muti2d[(cont,inter)]
# somme_min = fonctions_lib.merge0(MI_terme1, MI_terme2, lambda x,y: min(x,y))
# precision[(cont,terme1,inter)] = sum(somme_min.values())/denom
print 'matrice de precision calculée'
return precision
