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_rew_RF(un_gr, pr_gr), models_H.FAD_H_class(input_size=inp, num_layers_z=2, num_layers_y=2, step_z=1.5, step_y=1.5), models_H.FAIR_scalar_H_class(input_size=inp, num_layers_w=2, step_w=1.5, num_layers_A=1, step_A=1.5, num_layers_y=2, step_y=1.5), models_H.FAIR_betaSF_H_class(input_size=inp, num_layers_w=2, step_w=1.5, num_layers_A=1, step_A=1.5, num_layers_y=2, step_y=1.5), models_H.FAIR_Bernoulli_H_class(input_size=inp, num_layers_w=2, step_w=1.5, num_layers_A=1, step_A=1.5,
k += 1 for mod in range(model_no): sheets[ind].write(mod + 1, 0, 'model_{}'.format(mod)) lst = [ models.Fair_rew_RF(un_gr, pr_gr), models_H.FAD_H_class(input_size=inp, num_layers_z=3, num_layers_y=2, step_z=2, step_y=2), models_H.FAIR_scalar_H_class(input_size=inp, num_layers_w=2, step_w=2, num_layers_A=2, step_A=2, num_layers_y=3, step_y=2), models_H.FAIR_betaSF_H_class(input_size=inp, num_layers_w=2, step_w=2, num_layers_A=2, step_A=2, num_layers_y=3, step_y=2), models_H.FAIR_Bernoulli_H_class(input_size=inp, num_layers_w=2, step_w=2, num_layers_A=2, step_A=2,