Changes in version 0.3.0 (2025-12-15)                  

  - Depurated bug on classification tasks for Permutation Feature
    Importance (PFI) estimation

  - Added global and pairwise interaction analysis based on Friedman’s
    H-statistic, including tables and plots of normalized H2 values to
    inspect overall and pairwise feature interactions across regression
    and classification models.

                 Changes in version 0.2.3 (2025-11-11)                  

  - Permutation Feature Importance (PFI) now implemented natively in
    MLwrap, eliminating the vip package dependency. Output and API
    remain unchanged.

                 Changes in version 0.2.2 (2025-11-05)                  

  - Added comprehensive documentation on reproducibility with random
    seed management guidance across all supported algorithms.

  - Released complete tutorial for the MLwrap workflow (arXiv preprint).

  - Fixed Integrated Gradients compatibility with torch 0.16.1 through
    float64 precision implementation.

                 Changes in version 0.2.1 (2025-10-21)                  

  - Updated to ensure full compatibility and integration with the jamovi
    framework for module development using MLwrap functionalities.

                 Changes in version 0.2.0 (2025-10-11)                  

  - Cross validation procedure implemented for Bayesian Optimization
    (fine tuning)

                 Changes in version 0.1.1 (2025-09-18)                  

  - Fixed deprecation warnings by replacing aes_string() with aes() and
    sym() with rlang::sym()
  - Corrected plot title assignment in plot_calibration_curve() function
  - Minor code improvements for better maintainability

                 Changes in version 0.1.0 (2025-07-22)                  

  - Initial CRAN release