def compute_gradient_step(self,u,i,j,L):
        dU = L*(self.V[i]-self.V[j])
        dV_pos = L*self.U[u]
        dV_neg = -L*self.U[u]
        dx = self.X[i]-self.X[j]
        if not self.is_sparse:
            dx = np.atleast_2d(dx)
        dW = L*dx.T.dot(np.atleast_2d(self.U[u]))
        return u,i,j,dU,dV_pos,dV_neg,dW
Return the hyperlink target or an empty string
dataset/ETHPy150Open Mendeley/mrec/mrec/mf/model/warp2.py/WARP2Decomposition.compute_gradient_step--crossover with--dataset/ETHPy150Open cloudera/hue/desktop/core/ext-py/tablib-0.10.0/tablib/packages/openpyxl/cell.py/Cell._get_hyperlink