def fit(self,pairs,term_map,target):
ones=[]
zeros=[]
for pair,target in zip(pairs,target):
score = self.simCalc.compute_score(pair,term_map,self.metric)
if target==1:
ones.append(score)
else:
zeros.append(score)
self.param=float(Separator.separate(ones,zeros,integer=False))
logging.info("Baseline: "+self.name+", Parameter set as "+str(self.param))
def fit(self,pairs,term_map,target):
ones=[]
zeros=[]
for pair,target in zip(pairs,target):
score = self.simCalc.compute_score(pair,term_map,self.metric)
if target==1:
ones.append(score)
else:
zeros.append(score)
(p1,e1)=Separator.separate(ones,zeros,integer=False)
(p2,e2)=Separator.separate(zeros,ones,integer=False)
#e2=-1 # force test of reverse
if e2<e1:
self.param=(-float(p2),True)
print "Reversing ones and zeros"
else:
self.param=(float(p1),False)
# self.param=float(Separator.separate(ones,zeros,integer=False))
logging.info("Baseline: "+self.name+", Parameter set as "+str(self.param))
def fit(self,pairs,term_map,target):
# print "Baseline: setting parameter for "+self.name
width_map={}
for term in term_map.keys():
width_map[term]=term_map[term].getnnz()
ones=[]
zeros=[]
for pair,target in zip(pairs,target):
wd = width_map[pair[1]]-width_map[pair[0]]
if target==1:
ones.append(wd)
else:
zeros.append(wd)
# print len(ones), len(zeros)
self.widthparameter=float(Separator.separate(ones,zeros))
logging.info("Baseline: "+self.name+", Parameter set as "+str(self.widthparameter))
def fit(self,pairs,term_map,target):
# print "Baseline: setting parameter for "+self.name
width_map={}
for term in term_map.keys():
width_map[term]=term_map[term].getnnz()
ones=[]
zeros=[]
for pair,target in zip(pairs,target):
wd = width_map[pair[1]]
if target==1:
ones.append(wd)
else:
zeros.append(wd)
# print len(ones), len(zeros)
self.param, _ = Separator.separate(ones,zeros)
self.param = float(self.param)
logging.info("Baseline: "+self.name+", Parameter set as "+str(self.param))
