title: ValueError in Keras: How could I get the model fitted?
body: <p>I am trying to fit my model  (neural networks) using keras but I got ValueError error.</p>
  
  <p>import keras</p>
  
  <pre><code>from keras.models import Sequential
  
  from keras.layers import Dense
  
  
  classificador_rede_neural = Sequential()
  
  
  # # Camadas Ocultas e de Saída
  
  # camadas ocultas = (entradas + saídas)/2 #estimando o numero de neurônios em camada oculta
  # 
  # temos:len(train.columns) - 1   atributos previsores
  # 
  # 1 classe
  
  
  #len(train.columns)
  
  
  camadas_ocultas = round(len(train.columns)/2)
  
  
  
  print(camadas_ocultas)
  
  
  classificador_rede_neural.add(Dense(units=camadas_ocultas, activation='relu',input_dim =len(train.columns) ))#primeira camada
  
  
  classificador_rede_neural.add(Dense(units=camadas_ocultas, activation='relu' ))#segunda camada
  
  
  classificador_rede_neural.add(Dense(units=1, activation='sigmoid' ))#camada de saída. a saída é binária, logo units=1
  </code></pre>
  
  <p>classificador_rede_neural.compile(optimizer='adam',loss='binary_crossentropy',metrics=['accuracy'])</p>
  
  <pre><code>classificador_rede_neural.fit(X_train2,y_train2,batch_size=10,epochs =100)
  </code></pre>
  
  <p>I am getting the error:</p>
  
  <pre><code> ValueError: Please provide as model inputs either a single array or a list of arrays. You passed: x=              sload        dload  spkts  dpkts  swin  dwin  smean  dmean  \
      0      1.803636e+08     0.000000      2      0     0     0    248      0   
      1      8.810000e+08     0.000000      2      0     0     0    881      0   
      2      8.544000e+08     0.000000      2      0     0     0    534      0   
      3      6.000000e+08     0.000000      2      0     0     0    450      0   
      4      8.504000e+08     0.000000      2      0     0     0   1063      0   
      5      1.045333e+09     0.000000      2      0     0     0    392      0   
      6      1.306667e+09     0.000000      2      0     0     0    980      0   
      7      1.977143e+08     0.000000      2      0     0     0    692      0   
  
  [82332 rows x 22 columns]
  </code></pre>
  
  <p>How could I fit the model? What is wrong with my data?</p>
  
  <p>The complete code > <a href="https://pastebin.com/jE7erEJs" rel="noreferrer">https://pastebin.com/jE7erEJs</a></p>