python - Tensorflow 数据适配器错误 : ValueError: Failed to find data adapter that can handle input

Question

在运行加密货币 RNN 的 senddex 教程脚本时，链接在这里

YouTube Tutorial: Cryptocurrency-predicting RNN Model ,

但在尝试训练模型时遇到错误。我的 tensorflow 版本是 2.0.0，我运行的是 python 3.6。尝试训练模型时，我收到以下错误:

File "C:\python36-64\lib\site-packages\tensorflow_core\python\keras\engine\training.py", line 734, in fit
    use_multiprocessing=use_multiprocessing)

File "C:\python36-64\lib\site-packages\tensorflow_core\python\keras\engine\training_v2.py", line 224, in fit
    distribution_strategy=strategy)

File "C:\python36-64\lib\site-packages\tensorflow_core\python\keras\engine\training_v2.py", line 497, in _process_training_inputs
    adapter_cls = data_adapter.select_data_adapter(x, y)

File "C:\python36-64\lib\site-packages\tensorflow_core\python\keras\engine\data_adapter.py", line 628, in select_data_adapter
    _type_name(x), _type_name(y)))

ValueError: Failed to find data adapter that can handle input: <class 'numpy.ndarray'>, (<class 'list'> containing values of types {"<class 'numpy.float64'>"})

如有任何建议，我们将不胜感激!

Answer 1

你检查过你的训练/测试数据和训练/测试标签是不是都是numpy数组？可能是您将 numpy 数组与列表混合在一起。