def res(lr_index, fold_index): evaluate_adience_model( evaluation_model=Res, learning_rate_index=lr_index, fold_index=fold_index, loss_function=self_guided_earth_mover_distance, final_activation=softmax, ground_distance_sensitivity=1, ground_distance_bias=0.5, ground_distance_path=Path( f'ground_distance/res/lr={lr_index}_fold={fold_index}'))
def alxs(lr_index, fold_index): ground_distance_manager = GroundDistanceManager( Path('ground_distances')) ground_distance_matrix = ground_distance_manager.load_ground_distance_matrix( '159') evaluate_adience_model(evaluation_model=Alxs, learning_rate_index=lr_index, fold_index=fold_index, loss_function=approximate_earth_mover_distance, final_activation=softmax, entropic_regularizer=10, distance_matrix=ground_distance_matrix, matrix_scaling_operations=100)
def alxs(lr_index, fold_index): evaluate_adience_model(evaluation_model=Alxs, learning_rate_index=lr_index, fold_index=fold_index, loss_function=earth_mover_distance, final_activation=softmax)
def res(lr_index, fold_index): evaluate_adience_model(Res, lr_index, fold_index, earth_mover_distance, softmax)
def vggf(lr_index, fold_index): evaluate_adience_model(Vggf, lr_index, fold_index, earth_mover_distance, softmax)
def alxs(lr_index, fold_index): evaluate_adience_model(Alxs, lr_index, fold_index, l2_regression_loss, linear)
def vggf(lr_index, fold_index): evaluate_adience_model(Vggf, lr_index, fold_index, l2_regression_loss, linear)
def alxs(lr_index, fold_index): evaluate_adience_model(Alxs, lr_index, fold_index, cross_entropy, softmax)
def res(lr_index, fold_index): evaluate_adience_model(Res, lr_index, fold_index, cross_entropy, softmax)
def vggf(lr_index, fold_index): evaluate_adience_model(Vggf, lr_index, fold_index, cross_entropy, softmax)