predict()# TikhonovSolver.predict()[source]# Solve the least-squares problem. Returns X(d, r) or (d,) ndarrayLeast-squares solution X = [ x_1 | … | x_r ]; each column is the solution to the subproblem with the corresponding column of B. The result is flattened to a one-dimensional array if r = 1.