ValueError：模型输出“Tensor(“activation_1/Identity:0”, shape=(?, 3), dtype=float32)”的形状无效

问题描述

我正在尝试运行以下 github 代码进行股市预测：

https://github.com/multidqn/deep-q-trading

使用他们的说明，我在安装所需的库后运行以下命令：

python main.py 3 0 results_folder

但是，当我运行上述命令时，出现以下错误：

Using TensorFlow backend.
WARNING:tensorflow:From /Users/anisschohra/.local/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:68: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.

WARNING:tensorflow:From /Users/anisschohra/.local/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:508: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.

WARNING:tensorflow:From /Users/anisschohra/.local/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:3837: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.

Traceback (most recent call last):
  File "main.py",line 92,in <module>
    ensembleFolderName=sys.argv[3]
  File "/Users/anisschohra/deep-q-Trading/deepQTrading.py",line 68,in __init__
    enable_double_dqn=True,enable_dueling_network=True)
  File "/Users/anisschohra/.local/lib/python3.7/site-packages/rl/agents/dqn.py",line 107,in __init__
    raise ValueError(f'Model output "{model.output}" has invalid shape. DQN expects a model that has one dimension for each action,in this case {self.nb_actions}.')
ValueError: Model output "Tensor("activation_1/Identity:0",shape=(?,3),dtype=float32)" has invalid shape. DQN expects a model that has one dimension for each action,in this case 3.

您能帮我解决问题并成功运行代码吗？我一直在寻找错误，但没有找到有效的解决方案。他们的代码（main.py）中的模型架构如下：

model = Sequential()
model.add(Flatten(input_shape=(1,1,68)))
model.add(Dense(35,activation='linear'))
model.add(LeakyReLU(alpha=.001))
model.add(Dense(nb_actions))
model.add(Activation('linear'))

提前致谢。

解决方法

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deep-learning forecasting python q-learning