def U_calc(self):
"""generates the u matrix with the help of intersection of the C and R matrix found by
selecting rows and columns randomly with a certaing probability associated with the
selection of that row or column"""
self.ucal = self.R[:, self.c]
svd = SVD()
svd.Ucalc(self.ucal, self.ucal.transpose())
svd.Vcalc(self.ucal, self.ucal.transpose())
svd.Sigma()
sigma = svd.sigma
for i in range(0, max(svd.rank_u, svd.rank_v)):
if sigma[i, i] != 0:
sigma[i, i] = (1 / sigma[i, i])
self.U = (svd.V.transpose()) * (sigma) * (sigma) * (svd.U.transpose())
