APLR version 10.17.1

This release focuses on improving robustness and documentation clarity.

Improvements

• Input Validation for validation_tuning_metric: Added validation to check if the provided validation_tuning_metric is a valid option before model training begins. This prevents runtime errors from invalid metric names and provides clearer error messages to the user.

Documentation

• Clarified faster_convergence Usage: The documentation for the faster_convergence parameter in APLRRegressor has been updated. It now states that this option can be useful not only when the algorithm converges too slowly, but also when it converges prematurely.