All notable changes to this project will be documented in this file.
- **kwargs for
fit
functions
- Changed the signature of the
fit
method in theDIPLS
andGCTPLS
classes to accept **kwargs.
- N/A
- N/A
- N/A
- 'check_estimator()' added to the doctests to validate model classes.
- Input/Output validation added to diPLSlib.models and diPLSlib.functions.
- Changed public to private attributes added in the 'fit()' method.
- Notebooks adapted.
- 'demo_ModelSelection_SciKitLearn.ipynb' added.
- Tests excecuted properly.
N/A
N/A
- Changed type of parameter 'l' from Union[int, List[int]] to Union[float, tuple] in 'DIPLS' and 'GCTPLS' classes.
2.3.0 - 2024-11-06
- New feature for model selection using cross-validation.
- Additional unit tests for new features.
- Documentation for the new model selection feature.
- Refactored code for better readability and maintainability.
- Updated dependencies to the latest versions.
- Fixed a bug in the
predict()
method of theDIPLS
class.
- Deprecated methods removed from
diPLSlib.utils
.
- Refactored
fit()
method signature inDIPLS
andGCTPLS
classes.
2.2.1 - 2024-11-04
N/A
N/A
- Bug in the extraction of the number of samples nt in the fit method corrected.
- Tested correct behavior in the notebooks.
N/A
2.2.0 - 2024-11-02
- Unittests for models, functions and utils
- DIPLS and GCTPLS classes now compatible with sklearn.
- Documentation updated.
- N/A
- N/A
2.1.0 - 2024-11-02
- utils submodule added to outsource utility functions.
- Documentation added
- N/A
- N/A
- N/A
2.0.0 - 2024-10-30
- Major overhaul of the project architecture.
- New 'GCTPLS' class for Calibration Transfer.
- Demo notebook for GCT-PLS.
- Data Repository for the demo notebook.
- Changelog added.
- Changed class names from 'model' to 'DIPLS' and 'GCTPLS'.
- Minor bug fixes related to predict function.
- N/A
1.0.2 - 2024-10-30
- N/A
- N/A
- Installation and Usage sections in documentation.
- N/A
1.0.0 - 2024-10-30
- Initial release of the project.
- 'Model' class with 'fit' and 'predict' methods.
- Support for domain adaptation scenarios with multiple domains.
- N/A
- N/A
- N/A