无法在jupyter notebook中为keras kfold验证代码创建会话

import numpy as np
from sklearn.model_selection import KFold
from keras.models import Sequential
from keras.layers import Dense

# 准备数据
X = np.array([[1, 2], [3, 4], [5, 6], [7, 8]])
y = np.array([0, 1, 0, 1])

# 创建KFold对象
kf = KFold(n_splits=2)

# 进行KFold交叉验证
for train_index, test_index in kf.split(X):
    # 创建模型
    model = Sequential()
    model.add(Dense(1, input_dim=2, activation='sigmoid'))
    model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])

    # 训练模型
    model.fit(X[train_index], y[train_index], epochs=10, batch_size=1, verbose=0)

    # 在测试集上评估模型
    loss, accuracy = model.evaluate(X[test_index], y[test_index], verbose=0)
    print('Accuracy: %.2f' % (accuracy * 100))