Changes in version 0.1.0 (2026-04-28)                  

Initial development version

  - Added core Kolmogorov-Arnold Fourier Network modules using torch:
      - nn_random_fourier_features()
      - nn_kaf_layer()
      - nn_kaf()
  - Added high-level model creation with kaf().
  - Added model fitting with kaf_fit().
  - Added formula interface with kaf_fit_formula().
  - Added support for:
      - regression
      - binary classification
      - multiclass classification
  - Added prediction methods:
      - type = "response"
      - type = "prob"
      - type = "class"
      - type = "link"
  - Added training utilities:
      - mini-batch training
      - validation splits
      - explicit validation data
      - early stopping
      - best-model restoration
      - predictor standardization
      - optional target standardization for regression
  - Added diagnostics:
      - extract_kaf_scales()
      - extract_fourier_params()
      - plot_kaf_scales()
  - Added README, pkgdown site, and getting started vignette.
  - Added references and attribution to the original KAF paper and
    related Python implementations.