test_few.py 文件源码

def test_few_classification():
    """test_few.py: tests default classification settings"""
    np.random.seed(42)
    X, y = load_iris(return_X_y=True)
    train,test = train_test_split(np.arange(X.shape[0]), train_size=0.75,
                                  test_size=0.25)
    few = FEW(classification=True,population_size='1x',generations=10)
    few.fit(X[train],y[train])

    print('train score:', few.score(X[train],y[train]))
    print('test score:', few.score(X[test],y[test]))

    # test boolean output
    few = FEW(classification=True,otype='b',population_size='2x',
              seed_with_ml=False,generations=10)
    np.random.seed(42)
    few.fit(X[train],y[train])

    print('train score:', few.score(X[train],y[train]))
    print('test score:', few.score(X[test],y[test]))
    few.print_model()