Question

我在Windows 10上使用Keras和Tensorflow。我正在尝试为Adult数据集（https://archive.ics.uci.edu/ml/datasets/Adult）创建一个机器学习模型。

首先，我正在进行一次热编码然后我正在尝试训练我的模型，但我得到了：
“ValueError：无法将输入数组从形状（14,1）广播到形状（14）”

即使我将input_dim更改为14以外的其他内容，我仍然会得到相同形状的相同错误。

我做错了什么？

df = pd.read_csv("adult_data.csv",header=None)
X = df.iloc[:,0:14]
Y = df.iloc[:,14]

encoder = LabelEncoder()
#X
for i in [1,3,5,6,7,8,9,13]:
   column = X[i]
   encoder.fit(column)
   encoded_C = encoder.transform(column)
   X[i] = np_utils.to_categorical(encoded_C)

print(X.shape)
#Y
encoder.fit(Y)
en_Y = encoder.transform(Y)
Y = np_utils.to_categorical(en_Y)

#model
model = Sequential()
model.add(Dense(21, input_dim=14, activation="relu"))
model.add(Dense(2, activation="softmax"))
#compile
model.compile(loss="categorical_crossentropy",optimizer="adam",metrics=
["accuracy"])

#train
model.fit(X,Y, epochs=50, batch_size=100)
score = model.evaluate(X,Y)
print("Accuracy: {}%".format(score[0]))

完全错误：

Traceback (most recent call last):
  File "main.py", line 36, in <module>
    model.fit(X,Y, epochs=50, batch_size=100)
  File "C:\Users\K\AppData\Local\Programs\Python\Python36\lib\site-packages\keras\models.py", line 960, in fit
    validation_steps=validation_steps)
  File "C:\Users\K\AppData\Local\Programs\Python\Python36\lib\site-packages\keras\engine\training.py", line 1574, in fit
    batch_size=batch_size)
  File "C:\Users\K\AppData\Local\Programs\Python\Python36\lib\site-packages\keras\engine\training.py", line 1407, in _standardize_user_data
    exception_prefix='input')
  File "C:\Users\K\AppData\Local\Programs\Python\Python36\lib\site-packages\keras\engine\training.py", line 128, in _standardize_input_data
    arrays[i] = array
 ValueError: could not broadcast input array from shape (14,1) into shape (14)

Answer 1

通过更新到Keras版本2.1.2修复了错误。

Keras：无法将形状（14,1）的输入数组广播成形状（14）

1 个答案: