Comments (1)
Hi!
_CTGANSynthesizer is private class, which basically you shouldnt be using. Try using to use sample code from README.MD
Or you try to download the whole project and try it on your own
Reopen is issue still persists
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Related Issues (20)
- ImportError: cannot import name '_CTGANSynthesizer' HOT 3
- is it ok for regression type task? HOT 1
- generated Cov is not that close HOT 2
- all sample codes not working till epoch end HOT 1
- second args in generate_data_pipe cannot be left None HOT 2
- TypeError: unsupported operand type(s) for +: 'NoneType' and 'NoneType' HOT 1
- training CTGAN stops in the middle (around 24%) HOT 2
- Difference between OriginalGenerator and GANGenerator HOT 1
- Getting this error when trying to install load HOT 2
- check HOT 1
- ContextualVersionConflict: (scikit-learn 1.0.2 (/usr/local/lib/python3.7/dist-packages), Requirement.parse('scikit-learn==0.23.2'), {'tabgan'}) HOT 3
- Dear Author, May I know the ctgan version for the installation? I am getting error. from ctgan import _CTGANSynthesizer ImportError: cannot import name '_CTGANSynthesizer' HOT 4
- pip install scikit-learn version issue HOT 3
- Mistake in Readme HOT 2
- Some issues araised when running Tab-GAN: 1) Manage Categorical Variables. 2) Batch size problem HOT 8
- Reproducibility issue HOT 1
- ValueError: Input X contains NaN although NaN filtered HOT 7
- IntCastingNaNError Despite No NaN values HOT 3
- LGBMClassifier.fit() got an unexpected keyword argument 'early_stopping_rounds' HOT 2
- Dependency issue with ForestDiffusion Generator HOT 3
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