Neha Patki

### Problem Description CTGAN is designed to one hot encode categorical values to ensure that the model learns to synthesize all possible categories. Without this special handling, the model may...

`FixedCombinations` implementation may lose correlations

1

### Problem Description Under the hood, the `FixedCombinations` constraint concatenates the columns to produce unique identifiers (and drops the individual columns). This solves the constraint, but in doing so, it...

### Problem Description I have a dataset that has two columns bound by a `GreaterThan` constraint. The first column contains a datetime while the second column contains a date only....

Condition on missing values

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### Problem Description Let's add the ability to condition on a column's value being missing. ### Expected behavior - Specify a missing value using any of: `None`, `np.nan`, `''`, or...

### Problem Description Let's add the ability to condition on columns that are primary keys. ### Expected behavior If the user conditions on a primary key, return a row with...

* SDV version: 0.13.0 Pointed out by @xamm via Slack: The User Guide for [GaussianCopula](https://sdv.dev/SDV/user_guides/single_table/gaussian_copula.html#advanced-usage) includes a section for selecting which transformers to use. This section is missing for the...

### Problem Description As a user, I want only the relevant errors surfaced to me and expected behavior to be suppressed. For now, focus on the KS Test metric (see...

Investigate the logic of applying `CSTest`

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### Problem Description As mentioned in #70, the current implementation of `CSTest` might not be entirely correct. Before applying `CSTest`, we currently normalize the frequencies of each category but in...

Privacy Metrics error if target column has missing values

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### Environment Details * SDV version: 0.13.0 * Python version: 3.8.9 * Operating System: MacOS ### Error Description The Numerical Privacy Metrics throw an error whenever the target columns (sensitive_fields)...

### Problem Description The [Privacy Metrics](https://sdv.dev/SDV/user_guides/evaluation/single_table_metrics.html#privacy-metrics) assume an adversarial attack model where a user with access to a few `key_fields` might be able to predict `sensitive_fields`. I understand that we...