Comments (2)
Hi! Thank you for reaching out!
- pls provide, input dataframe shapes and if possible df.describe()
- Provide input training params
- Please try to pass to pipeline small dataframe
from gan-for-tabular-data.
Stock demo code, copied and pasted has run successfully. Very careful set of installs. First conda installs for everything except those mentioned (PYTORCH seems to be the issue) in requirements.txt. Then pip install -r requirements.txt. Attempts doing all installs with pip have failed so far. Still possible, but first success with conda/pip sequence. Program runs but desired synth data is huge 960k row x 120 columns, so slow going and slicing into smaller trial dataframes. Will advise after adversarial validation attempt.
from gan-for-tabular-data.
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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