Comments (6)
Could you please provide the content inside "data_feature_output.pkl" that you prepared?
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Thanks a lot for the quick response, much appreciated! Turns out there was a minor mistake in the pickle file. It runs now!
I am also having a little trouble with the training as the following error occurs:
"Failed to create a NewWriteableFile: ./test/checkpoint\epoch_id-4\model-179.data-00000-of-00001.tempstate10424354672339237629 : The system cannot find the path specified."
I checked what was said here (#30) and I tried out the solution of chameleonzz but it caused problems in the following generation of data.
I see that you provided a possible solution in the case where the GPUTaskScheduler is used. I wonder if you could provide a solution to the said problem when using the example training WITHOUT the GPUTaskScheduler.
Thanks again!
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I just merged the fixes from the master branch to TF2 branch. Can you re-download the code and try again? Thanks!
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After the changes you made it runs, thanks!
When generating samples, I am running in two problems:
-
The same as #28
Do you have any input on this? -
The results are not logical, all attributes have 0 or 1 value and the features do not seem to have the required behavior.
What could I do about that? Would running the training for more epochs and a lower sample_len help?
Again thank you for your help!
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To use DoppelGANger, you will need to normalize the features into 01 or -11 and indicate the normalization method in the pkl files. From the screenshot you showed, the data is not normalized yet. It will cause problems in training.
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Ok, thank you for all the help!
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Related Issues (20)
- membership_inference_attack HOT 6
- CLI getting stuck on running example_training/main.py HOT 2
- Dynamic attributes / attributes with time stamp? HOT 6
- Request for min/max used for feature and attribute normalization in input data HOT 2
- The data generated ranges from 0 to 2 HOT 3
- Incomplete training HOT 7
- unreasonable output HOT 6
- Dataset HOT 1
- About two MLPs HOT 1
- Generating time series with negative values HOT 4
- is_gen_flag HOT 4
- Attribute problematic result HOT 18
- Problem with tensorflow HOT 1
- Training time HOT 6
- Code of AR and HMM baseline
- unknown output type HOT 6
- Request for availability of the scripts used to reproduce figures HOT 8
- Inference from attributes HOT 3
- Unable to run main.py in example_training HOT 21
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