LSTM错误蟒蛇

Question

早上好keras，我想训练LSTM分类垃圾邮件和非垃圾邮件，我碰到下面的错误来了：

ValueError: Input 0 is incompatible with layer lstm_1: expected ndim = 3, found ndim = 4

有人可以帮助我了解问题出在哪里？

我的代码：

import sys 
import pandas as pd 
import numpy as np 
import math 
from keras.models import Sequential 
from keras.layers import Dense 
from keras.layers import LSTM 
from sklearn.preprocessing import MinMaxScaler 
from sklearn.metrics import mean_squared_error 
from sklearn.feature_extraction.text import CountVectorizer 

if __name__ == "__main__": 
    np.random.seed(7) 

    with open('SMSSpamCollection') as file: 
     dataset = [[x.split('\t')[0],x.split('\t')[1]] for x in [line.strip() for line in file]] 

    data = np.array([dat[1] for dat in dataset]) 
    labels = np.array([dat[0] for dat in dataset]) 

    dataVectorizer = CountVectorizer(analyzer = "word", 
          tokenizer = None, 
          preprocessor = None, 
          stop_words = None, 
          max_features = 5000) 
    labelVectorizer = CountVectorizer(analyzer = "word", 
          tokenizer = None, 
          preprocessor = None, 
          stop_words = None, 
          max_features = 5000) 

    data = dataVectorizer.fit_transform(data).toarray() 
    labels = labelVectorizer.fit_transform(labels).toarray() 
    vocab = labelVectorizer.get_feature_names() 

    print(vocab) 
    print(data) 
    print(labels) 

    data = np.reshape(data, (data.shape[0], 1, data.shape[1])) 

    input_dim = data.shape 
    tam = len(data[0]) 

    print(data.shape) 
    print(tam) 

    model = Sequential() 
    model.add(LSTM(tam, input_shape=input_dim)) 
    model.add(Dense(1)) 
    model.compile(loss='mean_squared_error', optimizer='adam') 
    model.fit(data, labels, epochs=100, batch_size=1, verbose=2) 

我尝试添加SMSSpamCollection

ham Go until jurong point, crazy.. Available only in bugis n great world la e buffet... Cine there got amore wat... 
ham Ok lar... Joking wif u oni... 
spam Free entry in 2 a wkly comp to win FA Cup final tkts 21st May 2005. Text FA to 87121 to receive entry question(std txt rate)T&C's apply 08452810075over18's 
ham U dun say so early hor... U c already then say... 
ham Nah I don't think he goes to usf, he lives around here though 
spam FreeMsg Hey there darling it's been 3 week's now and no word back! I'd like some fun you up for it still? Tb ok! XxX std chgs to send, £1.50 to rcv 
ham Even my brother is not like to speak with me. They treat me like aids patent. 
... 

由于数据阵列中，但也没有结果 我的文件中的另一个位置

Answer 1

问题在于事实您正在添加与样本相关的附加维度。试试：

input_dim = (data.shape[1], data.shape[2]) 

这应该有效。