unsupported operand type(s) for -: 'list' and 'list' using python












0












$begingroup$


Here I have a data file and I designed neural network to predict value. I have a three inputs. These three inputs affect to predict value bysubtarcting and adding. If my three inputs are x1,x2,x3 . X1 and X2 add together and that value will subtract with the X3 value and give the predict value. This process will happened in x_train. I wrote a code. But it gives me this error. Can nyone help me to solve this problem?
My code is,



data = pd.DataFrame(data,columns=['X1','X2','X3'])
data = data.values
a =
for i in range(0,len(data)):
X1 = data[i][0]
a.append([X1])
b =
for i in range(0,len(data)):
X2 = data[i][1]
b.append([X2])
c =
for i in range(0,len(data)):
X3 = data[i][2]
c.append([X3])
x_train =
x =
for i in range(0,len(data)):
x_train.append([a[i] ,b[i], c[i]])
x.append((a[i] - b[i] + c[i]))
x_train =np.array(x_train)
x = np_array(x)









share|improve this question









$endgroup$

















    0












    $begingroup$


    Here I have a data file and I designed neural network to predict value. I have a three inputs. These three inputs affect to predict value bysubtarcting and adding. If my three inputs are x1,x2,x3 . X1 and X2 add together and that value will subtract with the X3 value and give the predict value. This process will happened in x_train. I wrote a code. But it gives me this error. Can nyone help me to solve this problem?
    My code is,



    data = pd.DataFrame(data,columns=['X1','X2','X3'])
    data = data.values
    a =
    for i in range(0,len(data)):
    X1 = data[i][0]
    a.append([X1])
    b =
    for i in range(0,len(data)):
    X2 = data[i][1]
    b.append([X2])
    c =
    for i in range(0,len(data)):
    X3 = data[i][2]
    c.append([X3])
    x_train =
    x =
    for i in range(0,len(data)):
    x_train.append([a[i] ,b[i], c[i]])
    x.append((a[i] - b[i] + c[i]))
    x_train =np.array(x_train)
    x = np_array(x)









    share|improve this question









    $endgroup$















      0












      0








      0





      $begingroup$


      Here I have a data file and I designed neural network to predict value. I have a three inputs. These three inputs affect to predict value bysubtarcting and adding. If my three inputs are x1,x2,x3 . X1 and X2 add together and that value will subtract with the X3 value and give the predict value. This process will happened in x_train. I wrote a code. But it gives me this error. Can nyone help me to solve this problem?
      My code is,



      data = pd.DataFrame(data,columns=['X1','X2','X3'])
      data = data.values
      a =
      for i in range(0,len(data)):
      X1 = data[i][0]
      a.append([X1])
      b =
      for i in range(0,len(data)):
      X2 = data[i][1]
      b.append([X2])
      c =
      for i in range(0,len(data)):
      X3 = data[i][2]
      c.append([X3])
      x_train =
      x =
      for i in range(0,len(data)):
      x_train.append([a[i] ,b[i], c[i]])
      x.append((a[i] - b[i] + c[i]))
      x_train =np.array(x_train)
      x = np_array(x)









      share|improve this question









      $endgroup$




      Here I have a data file and I designed neural network to predict value. I have a three inputs. These three inputs affect to predict value bysubtarcting and adding. If my three inputs are x1,x2,x3 . X1 and X2 add together and that value will subtract with the X3 value and give the predict value. This process will happened in x_train. I wrote a code. But it gives me this error. Can nyone help me to solve this problem?
      My code is,



      data = pd.DataFrame(data,columns=['X1','X2','X3'])
      data = data.values
      a =
      for i in range(0,len(data)):
      X1 = data[i][0]
      a.append([X1])
      b =
      for i in range(0,len(data)):
      X2 = data[i][1]
      b.append([X2])
      c =
      for i in range(0,len(data)):
      X3 = data[i][2]
      c.append([X3])
      x_train =
      x =
      for i in range(0,len(data)):
      x_train.append([a[i] ,b[i], c[i]])
      x.append((a[i] - b[i] + c[i]))
      x_train =np.array(x_train)
      x = np_array(x)






      python regression






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked 48 mins ago









      kaskas

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