v0.2.0-beta
EIS Toolkit beta release 2
EIS Toolkit's beta release includes most of the basic tools required to conduct mineral prospectivity mapping with Python. Note that this is a beta release and more tools will be added in the upcoming months, and existing tools will be optimized and refined.
✨ New features
- Unique grid conditions (#86)
- One-hot encoding (#224)
- Extract shared lines (#241)
- Coda transforms (#244)
- Calculate geometry (#248)
- Logistic regression (#210)
- Random forest classifier and regressor (#210)
- Gradient boosting classifier and regressor (#210)
- Various modeling functions (split data, get cross-validator, load/save model, evaluate model, predict with model) (#210)
🚀 Performance improvements
🐞 Fixes
- Fix invalid CLI imports (distance computation, descriptive statistics) (#223)
- Fix several issues with example notebooks (#225)
- Fixed issue related to type checking in check_minmax_position function (#242)
- Fixed two minor issues with Chi-square test (#249)
- Corrections to raster exporting in CBA (#250)
🛠️ Other improvements
- Added nodata handling (dropping) in Descriptive statistics (#245)
- Miscellaneous ci and documentation additions (#256)
- Update fuzzy overlay docs (#258)
Roadmap
The first non-beta release of EIS Toolkit is planned for April 2024. All the planned tools should be implemented by then and requested new additions from Toolkit testers considered as much as possible. For planned tools, refer to the wiki page of this repository.
The first release of EIS QGIS Plugin, which serves a graphical user-interface for EIS Toolkit, should also happen in April 2024.