python - 找不到可以处理输入的数据适配器： <class 'numpy.ndarray'> ，（ <class 'list'> 包含类型{ <class 'int'> ”}）(Failed to find data adapter that can handle input: <class 'numpy.ndarray'>, (<class 'list'> containing values of types {“<class 'int'>”}))

Question

history = model.fit(X, y, batch_size=32, epochs=40, validation_split=0.1)

(历史= model.fit（X，y，batch_size = 32，epochs = 40，validation_split = 0.1）)

the line problem was this

(线路问题是这个)

Showing error:

(显示错误：)

ValueError: Failed to find data adapter that can handle input: , ( containing values of types {""})

(ValueError：未能找到可以处理输入的数据适配器：（包含类型为““”}的值）)

  ask by Neo translate from so

Answer 1

So this is happening the the newer version of tensorflow I'm not sure from where but I was on version 2.0.0 and this same thing happened

(所以这发生在新版本的tensorflow上，我不确定从哪里来，但我在2.0.0版本上，并且发生了同样的事情)

I'm assuming that you are only converting the X array into a numpy array But rather try converting 'X' as well as 'y' to numpy array using the dtype as np.uint8

(我假设您只是将X数组转换为numpy数组，而是尝试使用dtype作为np.uint8将'X'以及'y'转换为numpy数组)

That should resolve the problem

(那应该解决问题)