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。

首先我进行了独热编码，然后尝试训练我的模型，但得到了以下错误：
“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改为14以外的其他值，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()#Xfor 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)#Yencoder.fit(Y)en_Y = encoder.transform(Y)Y = np_utils.to_categorical(en_Y)#modelmodel = Sequential()model.add(Dense(21, input_dim=14, activation="relu"))model.add(Dense(2, activation="softmax"))#compilemodel.compile(loss="categorical_crossentropy",optimizer="adam",metrics=["accuracy"])#trainmodel.fit(X,Y, epochs=50, batch_size=100)score = model.evaluate(X,Y)print("Accuracy: {}%".format(score[0]))

完整错误信息：

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)

回答：

通过更新到Keras版本2.1.2修复了该错误。