Comments (3)
Hi @burhanuddin-123 π
Do you mind sharing more context with us so we can try to reproduce the issue on our end?
- What does your metadata look like? You can run this method to get a nice diagram to share
- Are you able to share your code itself so I can understand any preprocessing or other transformation you may have done?
- Can you share the full stack trace of your error?
- How many rows are in the Customers table and the Orders tables?
One thing I want to rule out is missing referential integrity, where all references in a foreign key reference a valid, existing primary key value. We created a function in our utils library to help process your data before model fitting. Try doing this step first before fitting and sampling. I doubt this is the issue since SDV usually checks for ref integrity, but still want to rule it out first.
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Hi there @burhanuddin-123 are you still running into this issue?
Another user ran into a very similar issue and it seems to be related to the scale
parameter in their case. What value are you using for scale
when sampling from HMA Synthesizer?
We opened this new issue to track the bug with the proposed solution as well: #2045
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Hi there @burhanuddin-123 I haven't heard from you in a while so I'm going to go ahead and close this issue out. Please see the suggested workaround if you're still running into this issue: #2045 (comment)
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Related Issues (20)
- How to evaluate the quality of synthetic time series data generated from PARSynthesizer HOT 4
- InvalidDataError when fitting datetime columns as context columns in PARSynthesizer HOT 4
- Primary keys may not be unique for variable length regexes HOT 6
- Add rename_column function to metadata API
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- When loading synthesizer from pkl, then trying to synthesizer.sample, I get: UserWarning: RNN module weights are not part of single contiguous chunk of memory. This means they need to be compacted at every call, possibly greatly increasing memory usage. To compact weights again call flatten_parameters() HOT 3
- Cap boto and botocore
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- Enable multi table synthesizers to use new Metadata HOT 1
- Enable evaluation methods to work with new metadata
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- Add metadata anonymization to public SDV
- Unbalanced synthetic data with Uniform Encoder in child table with HMASynthesizer HOT 2
- Invalid Values PII HOT 2
- A large difference between the values ββin the child table HOT 3
- hma model gives one value in every column HOT 1
- Review docs-related dev dependencies HOT 1
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