Releases: kaspersgit/ml_2_sql
Releases · kaspersgit/ml_2_sql
v0.1.8
Changelog
All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog,
and this project adheres to Semantic Versioning.
[0.1.8] - 2024-08-13
Fixed
- Bug Fix due to missing required package
[0.1.7] - 2024-08-12
Added
- Support for interpretml 0.6.3
Changed
- Testing flow to do end to end for all model problem types combinations
Fixed
- Fixed error of not working on certain platforms
- Fixed error related to tkinter
- Fixed tests failing due to different reasons
[0.1.7] - 2024-08-12
Added
- Support for interpretml 0.6.3
Changed
- Testing flow to do end to end for all model problem types combinations
Fixed
- Fixed error of not working on certain platforms
- Fixed error related to tkinter
- Fixed tests failing due to different reasons
[0.1.6] - 2024-06-27
Added
- Initial release of the package.
- Use as command line tool (commands: init, run, check-model and clean-data)
- Automatic ML model training
- Outputting feature related graphs
- Outputting several performance graphs
- Saves model in .sav format and in .sql format
v0.1.7
Changelog
All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog,
and this project adheres to Semantic Versioning.
[Unreleased]
Added
- Added Kmeans (unsupervised) as model to choose
- Auto test created SQL model vs pickled model
Changed
- For changes in existing functionality.
Deprecated
- For soon-to-be removed features.
Removed
- For now removed features.
Fixed
- For any bug fixes.
Security
- In case of vulnerabilities.
[0.1.7] - 2024-08-12
Added
- Support for interpretml 0.6.3
Changed
- Testing flow to do end to end for all model problem types combinations
Fixed
- Fixed error of not working on certain platforms
- Fixed error related to tkinter
- Fixed tests failing due to different reasons
[0.1.6] - 2024-06-27
Added
- Initial release of the package.
- Use as command line tool (commands: init, run, check-model and clean-data)
- Automatic ML model training
- Outputting feature related graphs
- Outputting several performance graphs
- Saves model in .sav format and in .sql format