Comments (2)
It seems that we also need to manually create data
and distance_matrix
subfolders. Would be good to handle this in preprocessing.py
- e.g., https://www.geeksforgeeks.org/how-to-create-directory-if-it-does-not-exist-using-python/
Nevertheless, after doing the above, I still see this error:
Traceback (most recent call last):
File "preprocessing.py", line 459, in <module>
raise Exception('Missing the name of the parquet file (e.g. lmc_route_full_1637316909.parquet) generated by the gen_route action')
from amazon-sagemaker-amazon-routing-challenge-sol.
Hi @oentaryorj , thank you very much for reporting the issue. Can you please git pull the latest from the main branch?
I have fixed the file naming issues in the code, so depends on the --mode
argument, it will change the file name (in fact sub-directory name) accordingly.
I have also added the auto-creation of sub-folder distance_matrix
and zone_list
. The sub-folder data
is not auto-created only because it is possible the this folder is outside of the git repository (depends where the dataset is downloaded to). So you could use the argument --data_dir
to tell the preprocessing script where the train
or eval
dataset is
The second error was due to the missing parameter --pkfn
, and I have added that in the README.md instruction. This file is only generated after you run the python preprocessing.py --act gen_route
Please let me know if you see any other problems. Thanks again for your help.
from amazon-sagemaker-amazon-routing-challenge-sol.
Related Issues (1)
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