Pipeline参数设置

from sklearn.datasets import load_iris
from sklearn.neural_network import MLPClassifier
from sklearn.model_selection import train_test_split, cross_val_score
from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import Pipeline
iris = load_iris()
X_train, X_test, y_train, y_test = train_test_split(____)
pipe = Pipeline([('____', StandardScaler()), ('____', MLPClassifier(____))])
pipe.set_params(mlp__hidden_layer_sizes=(____,))
scores = cross_val_score(____)
print(____)