Comments (2)
Another option worth considering is mimesis
which is very similar to faker (a library I use and love), and much more performant. https://mimesis.readthedocs.io/foreword.html#advantages
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Hi @Aylr, and thanks for your suggestion.
We have decided that the integration with faker
will be done in the scope of RDT and it's implementation has already been done: sdv-dev/RDT#71.
However, we take note of your suggestion and have opened an issue regarding that on RDT: sdv-dev/RDT#80
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Related Issues (20)
- Enable the ability to run multi table synthesizers on disjointed table schemas
- Order Metadata Columns Alphabetically in Visualization
- Certain attributes are mapped as Unknown SDType and we have to change the dtype using custom script HOT 2
- Add workflow to generate release notes
- Confusing warning when using GANs that suggests that CUDA isn't being used
- Rename `file_path` to `filepath` parameter in ExcelHandler
- Support null foreign keys in get_random_subset
- Remove input error from base synthesizer class once nullable foreign keys are supported
- Support nullable foreign keys in HMA
- HMA sampling crashes when unknown sdtype detected for numerical column
- Rename the `file_name` parameter to `filepath` parameter in ExcelHandler
- Add timeouts to requests in release notes script
- Support PARSynthesizer learning sequential patterns in categorical columns
- Release notes should not include PRs
- Cap numpy to less than 2.0.0 until SDV supports
- Switch drop_missing_values in in drop_unknown_references to support null foreign keys by default
- Add support for numpy 2.0.0
- PARSynthesizer errors during `fit` if sequence_index is numerical sdtype HOT 5
- Add a utility function `get_random_sequence_subset` HOT 1
- the PARSynthesizer data generation HOT 3
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