Comments (1)
there is only CTGAN used in GANGenerator)
original generato - is just resampling from original data
from gan-for-tabular-data.
Related Issues (20)
- 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
- 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
- TypeError w/ Boolean Data HOT 1
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from gan-for-tabular-data.