PyNLME v0.2.3

Changed

• Rust Backend Architecture - Completely removed hardcoded model logic
  • Eliminated all fallback hardcoded exponential decay models from MLE and SAEM
  • Refactored all internal methods to require explicit Python model functions
  • Removed Optional wrapper types, ensuring clean dependency injection
  • Updated fit_internal, evaluate_model, sample_random_effects, etc.
  • Improved code maintainability by removing dead code paths
  • Backend now exclusively uses user-supplied Python model functions

Removed

• Deprecated Methods - Removed unused fit methods with hardcoded models
• Legacy Code - Eliminated hardcoded model paths and conditional logic