Python Fair_PR示例

示例#1

文件： Start_ger_sex_new.py 项目： andrijaster/Fairness-AC-ADV

ind = 0
for a in alpha:
    metrics = np.zeros([model_no, 8])

    k = 1
    for i in columns:
        sheets[ind].write(0, k, i)
        k += 1

    for mod in range(model_no):
        sheets[ind].write(mod + 1, 0, 'model_{}'.format(mod))

    for train_index, test_index in skf.split(atribute, output):

        lst = [
            models.Fair_PR(sensitive=prot, class_attr='labels', eta=eta[ind]),
            models.Fair_meta(sensitive=prot, tau=eta[ind]),
            models.Fair_DI_NN(sensitive=prot,
                              inp_size=inp,
                              num_layers_y=3,
                              step_y=1.5,
                              repair_level=eta[ind]),
            models.Fair_DI_RF(sensitive=prot, repair_level=eta[ind]),
            models.Fair_rew_NN(un_gr,
                               pr_gr,
                               inp_size=inp,
                               num_layers_y=3,
                               step_y=1.5),
            models.Fair_rew_RF(un_gr, pr_gr),
            models.FAD_class(input_size=inp,
                             num_layers_z=3,

示例#2

文件： Start_readmission_new.py 项目： andrijaster/Fairness-AC-ADV

sheets = [wb.add_sheet('{}'.format(i)) for i in alpha]

ind = 0
for a in alpha:
    metrics = np.zeros([model_no, 8])
    k = 1
    for i in columns:
        sheets[ind].write(0, k, i)
        k += 1

    for mod in range(model_no):
        sheets[ind].write(mod + 1, 0, 'model_{}'.format(mod))

    lst = [
        models.Fair_PR(sensitive=prot, class_attr='readmitBIN', eta=eta[ind]),
        models.Fair_meta(sensitive=prot, tau=eta[ind]),
        models.Fair_DI_NN(sensitive=prot,
                          inp_size=inp,
                          num_layers_y=3,
                          step_y=1.5,
                          repair_level=eta[ind]),
        models.Fair_DI_RF(sensitive=prot, repair_level=eta[ind]),
        models.Fair_rew_NN(un_gr,
                           pr_gr,
                           inp_size=inp,
                           num_layers_y=3,
                           step_y=1.5),
        models.Fair_rew_RF(un_gr, pr_gr),
        models.FAD_class(input_size=inp,
                         num_layers_z=3,