def getWeightMatrix(self):
"""
Return the weight matrix in dense format. Warning: should not be used
unless sufficient memory is available to store the dense matrix.
:returns: A numpy.ndarray weight matrix.
"""
W = PysparseMatrix(matrix=self.W)
return W.getNumpyArray()
def getWeightMatrix(self):
"""
Return the weight matrix in dense format. Warning: should not be used
unless sufficient memory is available to store the dense matrix.
:returns: A numpy.ndarray weight matrix.
"""
W = PysparseMatrix(matrix=self.W)
return W.getNumpyArray()
def inDegreeSequence(self):
"""
Return a vector of the (in)degree sequence for each vertex.
"""
A = self.nativeAdjacencyMatrix()
j = spmatrix.ll_mat(self.vList.getNumVertices(), 1)
j[:, 0] = 1
degrees = spmatrix.dot(A, j)
degrees = PysparseMatrix(matrix=degrees)
degrees = numpy.array(degrees.getNumpyArray().ravel(), numpy.int)
return degrees
def inDegreeSequence(self):
"""
Return a vector of the (in)degree sequence for each vertex.
"""
A = self.nativeAdjacencyMatrix()
j = spmatrix.ll_mat(self.vList.getNumVertices(), 1)
j[:, 0] = 1
degrees = spmatrix.dot(A, j)
degrees = PysparseMatrix(matrix=degrees)
degrees = numpy.array(degrees.getNumpyArray().ravel(), numpy.int)
return degrees
