使用lstm模型，读入一组数据，预测出一组数据，写出Python代码

使用keras框架：model = Sequential()
model.add(LSTM(units=50, input_shape=(X_train.shape[1], 1)))
model.add(Dense(1))
model.compile(loss='mean_squared_error', optimizer='adam')
model.fit(X_train, y_train, epochs=25, batch_size=1, verbose=2)# 预测
predicted = model.predict(X_test)