我是TFLearn的新手，我正在尝试实施这个DNN：
x_train = df_train[["Pclass", "Gender", "Age","SibSp", "Parch"]]
y_train = df_train ["Survived"]
x_test = df_test[["Pclass", "Gender", "Age","SibSp", "Parch"]]
y_test = df_test[["Survived"]]
net = tflearn.input_data(shape=[None , 6])
net = tflearn.fully_connected(net, 1)
net = tflearn.fully_connected(net, 2, activation='softmax')
net = tflearn.regression(net)
model = tflearn.DNN(net)
model.fit(x_train, y_train, n_epoch=10, show_metric=True)
当我运行 model.fit 时，我收到错误 IndexError：indices is out-of-bounds 。我想这个问题是关于列＆＃34; name＆＃34;的导入，网络试图在标题中详细说明字符串，但我不确定。 我想念一些明显的东西吗？ 谢谢你的帮助！