Tuneinsight

This version includes major (mostly backwards-compatible) changes, conforming to the changes in the Tune Insight solution to v1.0.0. New features available in the solution and mirrored in the SDK include:

- The `Feasibility`, `Distribution` and `FilteredAggregation` computations, which all extend aggregations for specialized use cases.
- Automated dataset schema inference.
- Policies at a datasource level.
- Differentially private statistics.
- Confidence intervals and post-processing for differentially private survival curves.
- Screening operations for datasets.
- Privacy budgets can be scoped at a datasource level.

The following new features were added to the SDK specifically:

- Support for remote datasources (for non-contributing nodes).
- A human-readable display of available project actions.

This release also includes many smaller changes aiming to improve the user experience, such as improved error messages,

v0.14.0-public
Compatible with Tune Insight v0.14.0.

As for v0.13.0, changes in the SDK are minor, mostly focusing on compatibility with changes in the backend.

- Support has been added for E2EE statistics. This means that the cryptolib has changed.
- Additional packages were erroneously included in the cryptolib, increasing its size by about 25%. This has been fixed.
- Local data selections were deprecated in the backend. However, this concept is still useful in the SDK, and has thus been kept (with a different underlying implementation).

Compatible with Tune Insight v0.13.0.

Changes to the SDK are mostly minor with this version focusing on backend and web interface.

- The preprocessing has been improved, as well as the `RemoteDataFrame` asbtraction.
- Datasources can now be defined at the datasource level.
- Deprecation of all `project.new_{computation}` methods -- use the `tuneinsight.computations.Computation` classes instead.

Compatible with Tune Insight v0.12.1.

This release includes mostly minor changes on the SDK side:
- Quality-of-life improvements to make the SDK easier to use, including context managers to define policies (`with project.policy as policy: ...` instead of `get_policy` then `set_policy`)
- Improvements to docstrings and documentation.
- Changes to the `EncryptedMean` computation interface.
- Updates to the `cryptolib` for compatibility with Lattigo v6.5

Compatible with Tune Insight v0.11.1.

Major changes

- The authorization mechanism has been strengthened: all projects must now be authorized and are locked upon authorization request.
- Computations can now be fetched from a project (creating the appropriate Python object). This can be used to apply consistent post-processing of results computed in other sessions.
- The cryptolib has been been tested and works on Linux, Windows, and Mac OS.

Minor changes

- The regression has been improved and should be easier to use.
- Synthetic data generation has been improved (including with the addition of a new progress tracking API).
- Features marked for deprecation in this release have been deprecated. The next deprecation wave should come with `v0.12.x`.
- Many minor features have been added to reflect changes in Tune Insight v0.11.1 (e.g., recurring projects, joining projects with tokens, ...)

Major changes
- Retrieval of computations and results from the project.
- `EncryptedAggregation` and `StatisticalAggregation` merged as one computation.

Minor changes
- Various quality-of-life improvements.
- Removal of experimental/outdated features.

Release package on the docs: https://docs.tuneinsight.com/packages/tuneinsight-diapason-0.10.3.tar.gz

Release package: https://docs.tuneinsight.com/packages/tuneinsight-diapason-0.10.2.tar.gz

**Full Changelog**: https://github.com/tuneinsight/diapason-py/compare/v0.9.2...v0.10.2