Comments (2)
fixed myself, try below:
metadata = SingleTableMetadata()
for col in list(train):
metadata.add_column(column_name=col, sdtype='numerical', computer_representation='Float')
if os.path.exists("metadata.json"):
os.remove("metadata.json")
metadata.save_to_json(filepath='metadata.json')
synthesizer = CTGANSynthesizer(
metadata,
epochs=500,
verbose=True)
from sdv.
Hi @fyy623 glad you were able to fix it. Do feel free to file a new issue if you run into anything.
BTW I believe the issue was that you were passing in the metadata dictionary into CTGANSynthesizer. All SDV synthesizers expects you to pass in a SingleTableMetadata object, not a dictionary. For more info, you can see the resources below:
from sdv.
Related Issues (20)
- Fix pandas DtypeWarning in download_demo
- Expose progress bars for data pre-processing during model fitting
- Sampling with remaining columns not working if primary key column is included in remaining columns
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- [HELP] CTGAN has Reproducibility? HOT 1
- Add support for generated columns when conditional sampling
- Update code to remove `FutureWarning` related to 'enforce_uniqueness' parameter
- Update code to remove pandas `FutureWarning` messages that's displayed for each row during conditional sampling
- where can I change the loss function of CTGAN HOT 5
- pip install takes too long HOT 1
- Repeated sequence_index values in specific situations HOT 8
- Lossvalues are good, but the quality of the synthetic data is bad... How?? HOT 2
- ParSynthesizer trying to allocate an absurd about of memory for a small dataset HOT 4
- Use Github Action Caching to Speed Up Unit and Integration Tests
- PAR Diagnostic is not 1.0 for datetime context columns HOT 1
- Add reproducibility when fitting a synthesizer
- Getting ValueError (sdv-pii-25szo) while sampling synthesizer on SDV==1.13.0 HOT 4
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- Getting KeyError while generation of data (synthesizer.sample()) - sdv==1.12.1 HOT 3
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