管道Pipeline

def solve():
    from sklearn.datasets import load_iris
    from sklearn.pipeline import Pipeline
    from sklearn.preprocessing import StandardScaler
    from sklearn.svm import SVC
    from sklearn.metrics import accuracy_score
    iris = load_iris()
    X = iris.data
    y = iris.target
    pipe = Pipeline([('____', StandardScaler()), ('____', SVC(____))])
    pipe.fit(____)
    acc = accuracy_score(y, pipe.predict(____))
    print(____)