Comments (3)
Hi @burhanuddin-123 👋
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)
- Error occurs with FixedCombinations constraint when NA values exist in constraint column HOT 3
- Support optional dependencies for CUDA related packages HOT 4
- ECLSK Data produces Nans and/or no correlation in HMA
- Setting random state ahead of sampling to vary synthesised data HOT 3
- PAR can't fit if Range constraint includes a `sequence_index` column HOT 2
- Metadata Detection Fails with new Data Type
- Using FixedCombinations constraint with an integer constraint column causes sampling to fail
- Error when using a datetime column as a context column with PAR Synthesizer HOT 2
- Discrete columns cause memory overflow issues during CTGAN processing. HOT 6
- Is loss_factor not used? How to compute reconstruction loss? HOT 3
- Supported data types benchmark
- The `_validate_circular_relationships` method may fail to detect circular relationships
- RegexGenerator can't support complex regular expressions and will throw an error when used on non-id type columns. HOT 6
- Support complex Regexes
- Add a warning if you're loading a SingleTableMetadata object
- Add a Metadata.detect_from_dataframe function
- Add a Metadata.detect_from_ddl function
- For single-table use cases, make it frictionless to update Metadata
- Improve usage of `detect_from_dataframes` function
- Add `metadata.validate_table` method for single table usage
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