xiaochus / trafficflowprediction Goto Github PK

请问这个数据在哪里获取呢？那个网站我一直登不上。

Traceback (most recent call last):
File "E:/AI/PythonCode/TrafficFlowPrediction-master/train.py", line 108, in
main(sys.argv)
File "E:/AI/PythonCode/TrafficFlowPrediction-master/train.py", line 104, in main
train_seas(m, X_train, y_train, args.model, config)
File "E:/AI/PythonCode/TrafficFlowPrediction-master/train.py", line 59, in train_seas
hidden_layer_model = Model(input=p.input,output=p.get_layer('hidden').output)
File "E:\AI\pythonIDE\lib\site-packages\tensorflow\python\training\tracking\base.py", line 457, in _method_wrapper
result = method(self, *args, **kwargs)
File "E:\AI\pythonIDE\lib\site-packages\tensorflow\python\keras\engine\training.py", line 262, in init
'name', 'autocast'})
File "E:\AI\pythonIDE\lib\site-packages\tensorflow\python\keras\utils\generic_utils.py", line 778, in validate_kwargs
raise TypeError(error_message, kwarg)
TypeError: ('Keyword argument not understood:', 'input')

Process finished with exit code 1

你好，想问一下训练的过程中mape值超高是什么原因？在每epoch训练的时候，mape会突然飙升，虽然对最终结果没有影响，但是很好奇。

Epoch 110/600
 256/7375 [>.............................] - ETA: 1s - loss: 0.0025 - mean_absolute_percentage_error: 21.2901
 768/7375 [==>...........................] - ETA: 1s - loss: 0.0026 - mean_absolute_percentage_error: 22.3736
1280/7375 [====>.........................] - ETA: 0s - loss: 0.0026 - mean_absolute_percentage_error: 22.8402
1792/7375 [======>.......................] - ETA: 0s - loss: 0.0025 - mean_absolute_percentage_error: 8754.2923
2304/7375 [========>.....................] - ETA: 0s - loss: 0.0025 - mean_absolute_percentage_error: 6813.5487
2816/7375 [==========>...................] - ETA: 0s - loss: 0.0026 - mean_absolute_percentage_error: 8774.6254
3328/7375 [============>.................] - ETA: 0s - loss: 0.0026 - mean_absolute_percentage_error: 14578.9923
3840/7375 [==============>...............] - ETA: 0s - loss: 0.0025 - mean_absolute_percentage_error: 12638.1525
4352/7375 [================>.............] - ETA: 0s - loss: 0.0026 - mean_absolute_percentage_error: 33742.5767
4864/7375 [==================>...........] - ETA: 0s - loss: 0.0026 - mean_absolute_percentage_error: 30193.0208
5376/7375 [====================>.........] - ETA: 0s - loss: 0.0026 - mean_absolute_percentage_error: 27320.6417
5888/7375 [======================>.......] - ETA: 0s - loss: 0.0026 - mean_absolute_percentage_error: 24946.6725
6400/7375 [=========================>....] - ETA: 0s - loss: 0.0025 - mean_absolute_percentage_error: 22952.6749
6912/7375 [===========================>..] - ETA: 0s - loss: 0.0025 - mean_absolute_percentage_error: 21253.7816
7375/7375 [==============================] - 1s 170us/step - loss: 0.0026 - mean_absolute_percentage_error: 19921.1577 - val_loss: 0.0033 - val_mean_absolute_percentage_error: 17.6413

您好，观察您的预测图像，以及我自己数据的预测图像看到总是与真实数据差一个时刻，请问这是什么原因呢？还有您的SAEs使用y_train进行训练是监督学习了么？

I tried to install keras using the command
conda install -c conda-forge keras in anaconda prompt

您好，请问如果test集flow未知，那该如何构建测试集输入呢。我看您的代码是在测试集已知的情况下构架测试集输入的。谢谢啦

https://cse-cic-ids2018.s3.ca-central-1.amazonaws.com/Processed+Traffic+Data+for+ML+Algorithms/Friday-02-03-2018_TrafficForML_CICFlowMeter.csv

请问一下，我发现结果的图片中True value的横坐标与实际时间相差了1小时。图片中显示的3月4日 0:00-3月5日 0:00 实际上是3月4日 1:00-3月5日 1:00的数据。请问要如何解决？

How can I decide which day to predict? which module / function does this task?

File "C:/Users/11067/Desktop/TrafficFlowPrediction-master/TrafficFlowPrediction-master/main.py", line 127, in
main()
File "C:/Users/11067/Desktop/TrafficFlowPrediction-master/TrafficFlowPrediction-master/main.py", line 98, in main
gru = load_model('model/gru.h5')
File "D:\programdate\anaconda3\envs\tf2\lib\site-packages\keras\engine\saving.py", line 492, in load_wrapper
return load_function(*args, **kwargs)
File "D:\programdate\anaconda3\envs\tf2\lib\site-packages\keras\engine\saving.py", line 584, in load_model
model = _deserialize_model(h5dict, custom_objects, compile)
File "D:\programdate\anaconda3\envs\tf2\lib\site-packages\keras\engine\saving.py", line 273, in _deserialize_model
model_config = json.loads(model_config.decode('utf-8'))
AttributeError: 'str' object has no attribute 'decode'

Process finished with exit code 1

Traceback (most recent call last):
File "C:\Users\KARTHIKA\Desktop\TrafficFlowPrediction\train.py", line 10, in
from model import model
File "C:\Users\KARTHIKA\Desktop\TrafficFlowPrediction\model\model.py", line 4, in
from keras.layers import Dense, Dropout, Activation
File "C:\Users\KARTHIKA\AppData\Local\Programs\Python\Python39\lib\site-packages\keras_init_.py", line 20, in
from . import initializers
File "C:\Users\KARTHIKA\AppData\Local\Programs\Python\Python39\lib\site-packages\keras\initializers_init_.py", line 124, in
populate_deserializable_objects()
File "C:\Users\KARTHIKA\AppData\Local\Programs\Python\Python39\lib\site-packages\keras\initializers_init_.py", line 82, in populate_deserializable_objects
generic_utils.populate_dict_with_module_objects(
AttributeError: module 'keras.utils.generic_utils' has no attribute 'populate_dict_with_module_objects'

Inspite if making a few changes in the code and downgrading to different software version the train.py code is not working. How to clear this issue?

I got your codes and installed everything. but I get this error. Please answer if you know the reason.
I get error by reading the gru model
gru = load_model('TrafficFlowPrediction/model/gru.h5')

请问一下作者。看了一下你给出的test.csv和train.csv的数据样式。我发现这里面的数据日期有些是隔了几天的，请问原数据集就是这样的吗？如果我要把自己的数据导入进去，是要写成test.csv和train.csv的格式再训练对吗？代码里面还要改一些什么呢？

Sorry to bother you.I didn't change anything, but the training result is a straight line.I need your help.Please help me!