Comments (3)
You can see the instructions here: https://github.com/DAI-Lab/SDGym#compile-c-dependencies
Bear in mind that in order to be able to run this installing using pip install sdgym
is not enough. You will need to have cloned or downloaded the repository, otherwise the make compile
command will fail.
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Hi @wwymak
In order to be able to use the PrivBNSynthesizer
you need to compile the C dependencies.
You can see the instructions here: https://github.com/DAI-Lab/SDGym#compile-c-dependencies
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Closing this for now, as the question seems answered.
Please feel free to reopen the issue if there is any follow up question.
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Related Issues (20)
- Make `benchmark_single_table` fault-tolerant HOT 1
- PrivBayes HOT 2
- Add functions to top level import
- Remove pomegranate
- limit_dataset_size causes sdgym to crash
- benchmark_single_table crashes with metadata dict
- Passing None as synthesizers runs all of them HOT 2
- timeout parameter causes sdgym to crash
- Can't download datasets if `.aws` config is present
- ImportError: cannot import name 'Metadata' from 'sdv' HOT 2
- (Known issue, workaround provided) Problems with importing SDGym HOT 1
- The `UniformSynthesizer` should follow the sdtypes in metadata (not the data's dtypes)
- The `IndependentSynthesizer` should follow the sdtypes in the metadata (not the data's dtypes)
- Add support for Python 3.11
- Remove anyio usage
- load_dataset fails for HOT 4
- Drop support for Python 3.7
- Switch default branch from master to main HOT 1
- Binary Classification metric fails with unknown category (`ValueError`) HOT 2
- Add ability to load and inspect individual datasets HOT 1
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