Sdnist

Latest version: v2.4

Safety actively analyzes 622163 Python packages for vulnerabilities to keep your Python projects secure.

Scan your dependencies

Page 1 of 2

2.4.0

**What's Changed**

SDNist Repo:
Replaced old sample reports with the ones generated with sdnist version 2.3. Sample reports are available in repo at path: [`sdnist/report/sample-reports`](https://github.com/usnistgov/SDNist/tree/main/sdnist/report/sample-reports)

SDNist Library:
- Fixed issue with deleting rows when there are unknown values.
- Fixed sdnist crash issue when deid. data has less than 3 features.
- Fixed issue with pca-pair plot when data has less than 5 features.

**Assets from previous release**
- [toy_deidentified_data.zip](https://github.com/usnistgov/SDNist/releases/download/v2.1.1/toy_deidentified_data.zip)

2.3.0

**What's Changed**

Data:
- Updated INDP feature details in data_description.json file.

SDNist Library:
- Added explanatory text to inconsistencies and UEM (Unique Exact Matches) metric, fixed typographic errors, improved formatting in privacy section, renamed 'k-marginal breakdown' to 'worst-performing PUMA breakdown' and adjusted json structure accordingly.
- Added 1% and 5% sampling error on the k-marginal.
- Improved readability of propensity image.
- Fixed feature space size in UEM.
- Fixed deidentified data percentage in UEM metric.
- Fixed PCA plot scaling issues.

**Assets from previous release**
- [toy_deidentified_data.zip](https://github.com/usnistgov/SDNist/releases/download/v2.1.1/toy_deidentified_data.zip)

2.2.0

**What's Changed**

Data:
- Updated description of the feature PINCP_DECILE in the data_dictionary.json

SDNist Library:
- Added new privacy metric unique-exact-matches to compute number of unique target data records that exactly matched records in a deidentified data.
- Reduced report bundle size.
- Added deidentified data labels to the generated json report.
- Update to show only worst three univariates in the k-marginal breakdown section.
- Fixes to the regression metric.
- Few other cosmetic changes to the report UI.

**Assets from previous release**
- [toy_deidentified_data.zip](https://github.com/usnistgov/SDNist/releases/download/v2.1.1/toy_deidentified_data.zip)

2.1.1

**What's Changed**

- Updated toy data
- Added PCA metric highlight queries.
- Improved stability of K-marginal scoring, and added k-marginal sub-sampling baseline for each PUMA.
- Added support for including metadata labels in the evaluation report.
- Enhanced data validation: does not evaluate deidentified data features that contain out of bound values.
- Added to report the list of feature that are not included in the evaluation due to out of bound values.
- Removed incorrect child_NOC inconsistency check.
- Changed feature ordering of pair-wise correlation charts to match data dictionary ordering.
- Added colors to the console output for better readability.
- Few other cosmetic changes to the report UI.

2.0.0

This is the stable release of the SDNist Synthetic Report Generator and the SDNist version intended for use in the 2023 Collaborative Research cycle.


What's Changed
- Added new metrics
- Included multiple sample results
- Added some more READMEs (report generator tool and sample report)
- Added better documentation in the READMEs
- Streamlined the repo by removing materials specific to the Temporal Map Challenge.

1.4.1b.1

This release uses same data resource files as release [v1.4.0-b.1](https://github.com/usnistgov/SDNist/releases/tag/v1.4.0-b.1)
[Code and Readme](https://github.com/usnistgov/SDNist/tree/main/sdnist/report)

changes:
* Fix synthetic data binning.
* Fix PCA plot axes.

Page 1 of 2

© 2024 Safety CLI Cybersecurity Inc. All Rights Reserved.