Comments (1)
Yeah, I am getting the same issue with all of the models I worked with so far. DRAGAN, WGAN, WGANGP, WGAN, and with CramerGAN after a while I get nan for generator's and discriminator's losses. I am using a network traffic dataset and it can't have negative values. I even tried running WGANGP for 3000 epochs thinking it might try to improve itself but still, I was getting negative values. My dataset is (300000, 80) where only one column is categorical and the rest are continuous.
Please let me know if you were able to solve the issue.
Thank you
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Related Issues (20)
- related to ydata-sdk Synthesizer model
- [BUG] Cannot import name 'TimeGAN' from 'ydata_synthetic.synthesizers.timeseries' HOT 2
- Install error HOT 1
- How can synthetic data be sorted by time? HOT 1
- [BUG] ydata fails to import on fresh Docker container HOT 2
- [BUG] unable to import module TimeSeriesSynthesizer when running mba_doppelganger.py example HOT 1
- Runninging TimeGAN initializer stalls the program indefinitely in example file
- [BUG]ModuleNotFoundError: No module named 'ydata' HOT 1
- [FEAT]Remove generator vars from gradient of the Supervised loss in TimeGAN (as loss does not depend on it)
- [BUG] Cannot install version 1.3.1
- How can I save the data generated by timeGAN?
- Installation Dependancies Failure[BUG] HOT 1
- [BUG]cannot import name 'streamlit_app' from 'ydata_synthetic'
- Model training debugging capabilities
- [BUG] Creating synthetic data via CGAN
- [FEAT] GPU no longer accessible in Google Collab
- [FEAT] Telemetry
- Doppelganger Training Parameters HOT 1
- Continue training from previous weights with TimeGAN
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