我的神经网络中有多个数据源的输入问题。我的数据框是:
0 1 2 3 4
0 [True, True, False] 3 -1 [False, True, True] 1
输入与前 4 列相关,输出与最后一列相关。
当我训练我的神经网络时,我得到 Setting an array element with a sequence.
def network():
model = Sequential()
model.add(Dense(output_dim=50, activation='relu', input_dim=4))
model.add(Dense(output_dim=50, activation='relu'))
model.add(Dense(output_dim=50, activation='relu'))
model.add(Dense(output_dim=1, activation='softmax'))
opt = RMSprop(lr=0.00025)
model.compile(loss='mse', optimizer=opt)
return model
data = pd.DataFrame()
state = [0]*3
for i in range(3):
state[i]= random.choice([True, False])
move = random.randint(1,4)
reward = random.choice([-1, -10, 10])
future_state = [0]*3
for i in range(3):
future_state[i] = random.choice([True, False])
Q = 1
array = [state, move, reward, future_state, Q]
data = data.append([array])
training = data.drop([4], axis = 1)
target = data[4]
model = network()
model.fit(training,target,epochs=2)
Python 回溯:
Traceback (most recent call last):
File "D:/Documents/PycharmProjects/SnakeGA/try.py", line 33, in <module>
model.fit(training,target,epochs=2)
File "D:\Anaconda3\lib\site-packages\keras\models.py", line 845, in fit
initial_epoch=initial_epoch)
File "D:\Anaconda3\lib\site-packages\keras\engine\training.py", line 1485, in fit
initial_epoch=initial_epoch)
File "D:\Anaconda3\lib\site-packages\keras\engine\training.py", line 1140, in _fit_loop
outs = f(ins_batch)
File "D:\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py", line 2075, in __call__
feed_dict=feed_dict)
File "D:\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 900, in run
run_metadata_ptr)
File "D:\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1104, in _run
np_val = np.asarray(subfeed_val, dtype=subfeed_dtype)
File "D:\Anaconda3\lib\site-packages\numpy\core\numeric.py", line 492, in asarray
return array(a, dtype, copy=False, order=order)
ValueError: setting an array element with a sequence.
这是因为我在某些列中有数组,而在其他列中有整数吗?我以为 Keras 可以处理这个问题,但也许我错了。我不清楚如何处理来自多个来源的串联数据。 谢谢!
最佳答案
numpy 数组中的列表在插入前需要展平。
array
是[[False, False, True], 4, -10, [False, True, False], 1]
在 OP 实现中,
并应展平为 [False, False, True, 4, -10, False, True, False, 1]
.
Here是一个工作的 jupyter notebook 演示了这一点。
关于python - Keras 和错误 : Setting an array element with a sequence,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/51469446/