mirror of
https://github.com/rmontanana/mdlp.git
synced 2025-08-15 23:45:57 +00:00
223 lines
5.1 KiB
Markdown
223 lines
5.1 KiB
Markdown
# Changelog
|
|
|
|
All notable changes to this project will be documented in this file.
|
|
|
|
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
|
|
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
|
|
|
|
## [2.1.1] - 2025-07-17
|
|
|
|
### Internal Changes
|
|
|
|
- Updated Libtorch to version 2.7.1
|
|
- Updated ArffFiles library to version 1.2.1
|
|
- Enhance CMake configuration for better compatibility
|
|
|
|
## [2.1.0] - 2025-06-28
|
|
|
|
### Added
|
|
|
|
- Conan dependency manager support
|
|
- Technical analysis report
|
|
|
|
### Changed
|
|
|
|
- Updated README.md
|
|
- Refactored library version and installation system
|
|
- Updated config variable names
|
|
|
|
### Fixed
|
|
|
|
- Removed unneeded semicolon
|
|
|
|
## [2.0.1] - 2024-07-22
|
|
|
|
### Added
|
|
|
|
- CMake install target and make install command
|
|
- Flag to control sample building in Makefile
|
|
|
|
### Changed
|
|
|
|
- Library name changed to `fimdlp`
|
|
- Updated version numbers across test files
|
|
|
|
### Fixed
|
|
|
|
- Version number consistency in tests
|
|
|
|
## [2.0.0] - 2024-07-04
|
|
|
|
### Added
|
|
|
|
- Makefile with build & test actions for easier development
|
|
- PyTorch (libtorch) integration for tensor operations
|
|
|
|
### Changed
|
|
|
|
- Major refactoring of build system
|
|
- Updated build workflows and CI configuration
|
|
|
|
### Fixed
|
|
|
|
- BinDisc quantile calculation errors (#9)
|
|
- Error in percentile method calculation
|
|
- Integer type issues in calculations
|
|
- Multiple GitHub Actions configuration fixes
|
|
|
|
## [1.2.1] - 2024-06-08
|
|
|
|
### Added
|
|
|
|
- PyTorch tensor methods for discretization
|
|
- Improved library build system
|
|
|
|
### Changed
|
|
|
|
- Refactored sample build process
|
|
|
|
### Fixed
|
|
|
|
- Library creation and linking issues
|
|
- Multiple GitHub Actions workflow fixes
|
|
|
|
## [1.2.0] - 2024-06-05
|
|
|
|
### Added
|
|
|
|
- **Discretizer** - Abstract base class for all discretization algorithms (#8)
|
|
- **BinDisc** - K-bins discretization with quantile and uniform strategies (#7)
|
|
- Transform method to discretize values using existing cut points
|
|
- Support for multiple datasets in sample program
|
|
- Docker development container configuration
|
|
|
|
### Changed
|
|
|
|
- Refactored system types throughout the library
|
|
- Improved sample program with better dataset handling
|
|
- Enhanced build system with debug options
|
|
|
|
### Fixed
|
|
|
|
- Transform method initialization issues
|
|
- ARFF file attribute name extraction
|
|
- Sample program library binary separation
|
|
|
|
## [1.1.3] - 2024-06-05
|
|
|
|
### Added
|
|
|
|
- `max_cutpoints` hyperparameter for controlling algorithm complexity
|
|
- `max_depth` and `min_length` as configurable hyperparameters
|
|
- Enhanced sample program with hyperparameter support
|
|
- Additional datasets for testing
|
|
|
|
### Changed
|
|
|
|
- Improved constructor design and parameter handling
|
|
- Enhanced test coverage and reporting
|
|
- Refactored build system configuration
|
|
|
|
### Fixed
|
|
|
|
- Depth initialization in fit method
|
|
- Code quality improvements and smell fixes
|
|
- Exception handling in value cut point calculations
|
|
|
|
## [1.1.2] - 2023-04-01
|
|
|
|
### Added
|
|
|
|
- Comprehensive test suite with GitHub Actions CI
|
|
- SonarCloud integration for code quality analysis
|
|
- Enhanced build system with automated testing
|
|
|
|
### Changed
|
|
|
|
- Improved GitHub Actions workflow configuration
|
|
- Updated project structure for better maintainability
|
|
|
|
### Fixed
|
|
|
|
- Build system configuration issues
|
|
- Test execution and coverage reporting
|
|
|
|
## [1.1.1] - 2023-02-22
|
|
|
|
### Added
|
|
|
|
- Limits header for proper compilation
|
|
- Enhanced build system support
|
|
|
|
### Changed
|
|
|
|
- Updated version numbering system
|
|
- Improved SonarCloud configuration
|
|
|
|
### Fixed
|
|
|
|
- ValueCutPoint exception handling (removed unnecessary exception)
|
|
- Build system compatibility issues
|
|
- GitHub Actions token configuration
|
|
|
|
## [1.1.0] - 2023-02-21
|
|
|
|
### Added
|
|
|
|
- Classic algorithm implementation for performance comparison
|
|
- Enhanced ValueCutPoint logic with same_values detection
|
|
- Glass dataset support in sample program
|
|
- Debug configuration for development
|
|
|
|
### Changed
|
|
|
|
- Refactored ValueCutPoint algorithm for better accuracy
|
|
- Improved candidate selection logic
|
|
- Enhanced sample program with multiple datasets
|
|
|
|
### Fixed
|
|
|
|
- Sign error in valueCutPoint calculation
|
|
- Final cut value computation
|
|
- Duplicate dataset handling in sample
|
|
|
|
## [1.0.0.0] - 2022-12-21
|
|
|
|
### Added
|
|
|
|
- Initial release of MDLP (Minimum Description Length Principle) discretization library
|
|
- Core CPPFImdlp algorithm implementation based on Fayyad & Irani's paper
|
|
- Entropy and information gain calculation methods
|
|
- Sample program demonstrating library usage
|
|
- CMake build system
|
|
- Basic test suite
|
|
- ARFF file format support for datasets
|
|
|
|
### Features
|
|
|
|
- Recursive discretization using entropy-based criteria
|
|
- Stable sorting with tie-breaking for identical values
|
|
- Configurable algorithm parameters
|
|
- Cross-platform C++ implementation
|
|
|
|
---
|
|
|
|
## Release Notes
|
|
|
|
### Version 2.x
|
|
|
|
- **Breaking Changes**: Library renamed to `fimdlp`
|
|
- **Major Enhancement**: PyTorch integration for improved performance
|
|
- **New Features**: Comprehensive discretization framework with multiple algorithms
|
|
|
|
### Version 1.x
|
|
|
|
- **Core Algorithm**: MDLP discretization implementation
|
|
- **Extensibility**: Hyperparameter support and algorithm variants
|
|
- **Quality**: Comprehensive testing and CI/CD pipeline
|
|
|
|
### Version 1.0.x
|
|
|
|
- **Foundation**: Initial stable implementation
|
|
- **Algorithm**: Core MDLP discretization functionality
|