lattice_cpa.py 文件源码

def round_solution_pool(pool, constraints):

    pool.distinct().sort()
    P = pool.P
    L0_reg_ind = np.isnan(constraints['coef_set'].C_0j)
    L0_max = constraints['L0_max']
    rounded_pool = SolutionPool(P)

    for solution in pool.solutions:
        # sort from largest to smallest coefficients
        feature_order = np.argsort([-abs(x) for x in solution])
        rounded_solution = np.zeros(shape=(1, P))
        l0_norm_count = 0
        for k in range(0, P):
            j = feature_order[k]
            if not L0_reg_ind[j]:
                rounded_solution[0, j] = np.round(solution[j], 0)
            elif l0_norm_count < L0_max:
                rounded_solution[0, j] = np.round(solution[j], 0)
                l0_norm_count += L0_reg_ind[j]

        rounded_pool.add(objvals=np.nan, solutions=rounded_solution)

    rounded_pool.distinct().sort()
    return rounded_pool