Python ValueError：检查目标时出错：预期lstm_2有3个维度，但得到了形状为（1184800）的数组

我的数据由26列和231000行组成。我已经尝试修复了几天的错误，但我仍然不确定需要做什么。请给出你对这个问题的见解。下面是我的全部代码

import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn import datasets, linear_model
from matplotlib import pyplot as plt
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import LSTM
from keras.layers import RepeatVector
from keras.layers import TimeDistributed

# load dataset
dataframe = pd.read_csv("AHPS_26C_Norm.csv", header=None)
dataset = dataframe.values
X = dataset[1:, 1:26].astype(float)
Y = dataset[1:, 0]

X = np.array(X)
Y = np.array(Y)
X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.20, random_state=42)

n_steps = len(X_train)
n_features = 25
batch_size = 1
X_train = X_train.reshape(1, n_steps, n_features)
Y_train = Y_train.reshape(1, n_steps)

# create model
model = Sequential()
model.add(LSTM(100, activation='relu', batch_input_shape=(1, n_steps, n_features)))
model.add(RepeatVector(n_steps))
model.add(LSTM(100, activation='softmax', return_sequences=True))
model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=['accuracy'])

# fit model
model.fit(X_train, Y_train, epochs=300, validation_data = (X_test, Y_test), batch_size= batch_size, verbose=0)
print(model.summary())


# Final evaluation of the model
scores = model.evaluate(X_train, Y_train, verbose=0)
print("Accuracy: %.2f%%" % (scores[1] * 100))

以下是我收到的错误：

Traceback (most recent call last):
  File "C:/Users/Iliya Juhari/.PyCharmCE2018.3/config/scratches/scratch_3.py", line 40, in <module>
    model.fit(X_train, Y_train, epochs=300, validation_data = (X_test, Y_test), batch_size= batch_size, verbose=0)
  File "C:\Users\Iliya Juhari\PycharmProjects\untitled\venv\lib\site-packages\keras\engine\training.py", line 1154, in fit
    batch_size=batch_size)
  File "C:\Users\Iliya Juhari\PycharmProjects\untitled\venv\lib\site-packages\keras\engine\training.py", line 621, in _standardize_user_data
    exception_prefix='target')
  File "C:\Users\Iliya Juhari\PycharmProjects\untitled\venv\lib\site-packages\keras\engine\training_utils.py", line 135, in standardize_input_data
    'with shape ' + str(data_shape))
ValueError: Error when checking target: expected lstm_2 to have 3 dimensions, but got array with shape (1, 184800)

回溯（最近一次呼叫最后一次）：
文件“C:/Users/Iliya Juhari/.PyCharmCE2018.3/config/scratches/scratch_3.py”，第40行，在
模型拟合（X\u序列，Y\u序列，历代=300，验证数据=（X\u测试，Y\u测试），批量大小=批量大小，详细度=0）
文件“C:\Users\Iliya Juhari\PycharmProjects\untitled\venv\lib\site packages\keras\engine\training.py”，第1154行
批次大小=批次大小）
文件“C:\Users\Iliya Juhari\PycharmProjects\untitled\venv\lib\site packages\keras\engine\training.py”，第621行，在用户数据中
异常（前缀='target'）
标准化输入数据中的文件“C:\Users\Iliya Juhari\Pycharm项目\untitled\venv\lib\site packages\keras\engine\training\u utils.py”，第135行
“带形状”+str（数据形状））
ValueError：检查目标时出错：预期lstm_2有3个维度，但得到了形状为（1184800）的数组

能否提供“AHPS\U 26C\U Norm.csv”样本？能否提供“AHPS\U 26C\U Norm.csv”样本？