def _f_cover(self, bInd):
vector_o = self.multiDocs.meanVector
vector_os = self.multiDocs.getMeanVectorOfSolution(bInd)
cover = helper.cosin(vector_o, vector_os)
t = 0
for i in xrange(self.multiDocs.numOfSentences):
if bInd[i] == 1:
t += helper.cosin(vector_o, self.multiDocs.getSentenceVector(i))
return cover * t
def _f_cover(self, bInd):
vector_o = self.multiDocs.meanVector
vector_os = self.multiDocs.getMeanVectorOfSolution(bInd)
cover = helper.cosin(vector_o, vector_os)
t = 0
for i in xrange(self.multiDocs.numOfSentences):
if bInd[i] == 1:
t += helper.cosin(vector_o, self.multiDocs.getSentenceVector(i))
return cover * t
def _f_diver(self, bInd):
f_diver = 0.0
for i in xrange(self.multiDocs.numOfSentences-1):
vector_i = self.multiDocs.getSentenceVector(i)
for j in xrange(i+1, self.multiDocs.numOfSentences):
if bInd[i] == 1 and bInd[j] == 1:
vector_j = self.multiDocs.getSentenceVector(j)
f_diver += helper.cosin(vector_i, vector_j)
return f_diver
def _f_diver(self, bInd):
f_diver = 0.0
for i in xrange(self.multiDocs.numOfSentences-1):
vector_i = self.multiDocs.getSentenceVector(i)
for j in xrange(i+1, self.multiDocs.numOfSentences):
if bInd[i] == 1 and bInd[j] == 1:
vector_j = self.multiDocs.getSentenceVector(j)
f_diver += helper.cosin(vector_i, vector_j)
return f_diver
def _calCosinMatrix(self):
'''
calculate cosin similarity matrix between sentences
'''
self.cosinMatrix = [[0]*self.numOfSentences for _ in xrange(self.numOfSentences)]
for i in xrange(self.numOfSentences-1):
vector_i = self.tfisfVectors[i]
for j in xrange(i+1, self.numOfSentences):
vector_j = self.tfisfVectors[j]
# calculate cosin
self.cosinMatrix[i][j] = self.cosinMatrix[j][i] = helper.cosin(vector_i, vector_j)
def _calCosinMatrix(self):
'''
calculate cosin similarity matrix between sentences
'''
self.cosinMatrix = [[0] * self.numOfSentences
for _ in xrange(self.numOfSentences)]
for i in xrange(self.numOfSentences - 1):
vector_i = self.tfisfVectors[i]
for j in xrange(i + 1, self.numOfSentences):
vector_j = self.tfisfVectors[j]
# calculate cosin
self.cosinMatrix[i][j] = self.cosinMatrix[j][i] = helper.cosin(
vector_i, vector_j)
