Closed hguan6 closed 2 years ago
@hguan6
Met an error when running this command: python data_processing.py -d criteo -n 10000000
tar: /home/ubuntu/netsdb/model-inference/decisionTree/experiments/dataset: Not found in archive tar: Exiting with failure status due to previous errors
Any suggestions?
Sorry, the data processing script has not been fully tested. I manually downloaded the dataset and extract a portion of them to train a model. Will make it work soon. Now the training and testing scripts work well.
@hguan6
Met an error when running this command: python data_processing.py -d criteo -n 10000000
tar: /home/ubuntu/netsdb/model-inference/decisionTree/experiments/dataset: Not found in archive tar: Exiting with failure status due to previous errors
Any suggestions?
Now the data_processing.py script should work. Note that the "-n" argument is not implemented in the current version.
I have a question concerning git commit. During development, I made many commits in order to push the changes to GitHub so that I can use the updated code in the agave environment. Shall I save the updated codes somewhere else, and delete the old branch and close this pull request, and then create a new branch and new PR?
Sorry, the data processing script has not been fully tested. I manually downloaded the dataset and extract a portion of them to train a model. Will make it work soon.
On Thu, Sep 8, 2022 at 3:46 PM Jia Zou @.***> wrote:
Met an error when running this command: python data_processing.py -d criteo -n 10000000
tar: /home/ubuntu/netsdb/model-inference/decisionTree/experiments/dataset: Not found in archive tar: Exiting with failure status due to previous errors
Any suggestions?
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Hong Guan, MS
School of Computing and Augmented Intelligence
Arizona State University
This pull request has been merged to 41-decisiontree-gpu.
@hguan6
Met an error when running this command: python data_processing.py -d criteo -n 10000000
tar: /home/ubuntu/netsdb/model-inference/decisionTree/experiments/dataset: Not found in archive tar: Exiting with failure status due to previous errors
Any suggestions?