def __init__(self,configfile):
self.configfile=configfile
print "Reading configuration from "+self.configfile
self.config=ConfigParser.RawConfigParser()
self.config.read(self.configfile)
self.myMenReader=MENReader(self.configfile)
self.whereami=self.config.get('default','whereami')
self.pos=ast.literal_eval(self.config.get('default','pos'))
self.options=ast.literal_eval(self.config.get('default','options'))
self.outputvectors=(self.config.get('default','outputvectors')=='True')
class MENManager:
posmap={"N":"nouns","V":"verbs","J":"adjs","R":"advs"}
INCLUDE_PREFIX="_is_included_"
def __init__(self,configfile):
self.configfile=configfile
print "Reading configuration from "+self.configfile
self.config=ConfigParser.RawConfigParser()
self.config.read(self.configfile)
self.myMenReader=MENReader(self.configfile)
self.whereami=self.config.get('default','whereami')
self.pos=ast.literal_eval(self.config.get('default','pos'))
self.options=ast.literal_eval(self.config.get('default','options'))
self.outputvectors=(self.config.get('default','outputvectors')=='True')
def get_vector_name(self,pos):
self.myname=self.config.get(self.whereami,'parentdir')+self.config.get('default','filename')
mini = self.config.get('default','minorder')
maxi = self.config.get('default','maxorder')
if mini == "X":
self.minorder=0
self.maxorder=2
self.reducedstring=""
else:
self.minorder=int(mini)
self.maxorder=int(maxi)
self.reducedstring=".reduce_"+str(mini)+"_"+str(maxi)
self.suffix="."+pos+self.reducedstring+".filtered"
self.normalised=(self.config.get('default','normalised')=="True")
if self.normalised:
self.suffix+=".norm"
self.weighting=ast.literal_eval(self.config.get('default','weighting'))
self.wthreshold=ast.literal_eval(self.config.get('default','wthreshold'))
self.cds=ast.literal_eval(self.config.get('default','cds'))
self.saliency=ast.literal_eval(self.config.get('default','saliency'))
return self.myname+self.suffix
def _is_included_N(self,token):
lemma = token.split("/")[0]
#print token,lemma
if lemma in self.nounlist.keys():
self.nounlist[lemma]=1
return True
else:
return False
def _is_any(self,token):
return True
def generate_simengine(self,pos="N"):
print "Generating SimEngine"
filenames={}
filenames[pos]=self.get_vector_name(MENManager.posmap[pos])
try:
#self.mySimEngine=SimEngine(filenames,getattr(self,MENManager.INCLUDE_PREFIX))
self.mySimEngine=SimEngine(filenames,self._is_included_N)
except:
print "Fatal Error: Unable to generate simEngine"
print filenames
print pos
exit(-1)
print "Successfully generated SimEngine and loaded vectors"
def getvectorstream(self,pos,cds,wt,w,cons):
if self.outputvectors:
filename=self.get_vector_name(MENManager.posmap[pos])
if cds:
filename+="_cds"
filename+="_"+wt
filename+="_shift"+str(w)
filename+="_cs"+str(cons)
outstream=open(filename,"wb")
return outstream
else:
return None
def run_reweight(self):
for pos in self.pos:
print "Generating SimEngine"
filenames={}
filenames[pos]=self.get_vector_name(MENManager.posmap[pos])
try:
#self.mySimEngine=SimEngine(filenames,getattr(self,MENManager.INCLUDE_PREFIX))
self.mySimEngine=SimEngine(filenames,self._is_any)
except:
print "Fatal Error: Unable to generate simEngine"
print filenames
print pos
exit(-1)
print "Successfully generated SimEngine and loaded vectors"
weighting=[]
for cds in self.cds:
if cds=='True':
weighting.append('smooth_ppmi')
for wt in self.weighting:
for w in self.wthreshold:
for cons in self.saliency:
print "Reweighting vectors"
self.mySimEngine.reweight(pos,weighting=[wt]+weighting,ppmithreshold=float(w),saliency=cons,outstream=self.getvectorstream(pos,cds,wt,w,cons))
def run_MEN(self):
self.myMenReader.readfile()
self.tokenlists={}
for pos in self.pos:
self.nounlist={}
for e in self.myMenReader.getEntryList(pos):
self.nounlist[e]=0
print "Need to load %s vectors "%(str(len(self.nounlist)))
#print self.tokenlists[pos]
self.generate_simengine(pos)
missed=[x for x in self.nounlist.keys() if self.nounlist[x]==0]
print "Not found: ", missed
results=[]
weighting=[]
resultsstream=open("men2.out","wb")
resultsstream.write("Starting MEN evaluation at: "+time.strftime("%c")+"\n")
resultsstream.close()
for cds in self.cds:
if cds=='True':
weighting.append('smooth_ppmi')
for wt in self.weighting:
for w in self.wthreshold:
for cons in self.saliency:
print "Reweighting vectors"
self.mySimEngine.reweight(pos,weighting=[wt]+weighting,ppmithreshold=float(w),saliency=cons,outstream=self.getvectorstream(pos,cds,wt,w,cons))
self.myMenReader.updateAutoSims(self.mySimEngine.selectedSims(self.myMenReader.getPairList(pos)))
res=(cds,wt,w,cons,self.myMenReader.triples.correlate(show_graph=False))
print res
resultsstream=open("men2.out","ab")
resultsstream.write(res)
resultsstream.write("\n")
resultsstream.close()
results.append(res)
print "Summary of results for ",self.weighting
for res in results:
print res[0],res[1],res[2],res[3],res[4]
resultsstream=open("men2.out","ab")
resultsstream.write("Ending MEN evaluation at: "+time.strftime("%c")+"\n")
resultsstream.close()
def run(self):
if "MEN" in self.options:
self.run_MEN()
elif "reweight" in self.options:
self.run_reweight()
else:
print "Unknown options: ",self.options
