LRScheduler

Learning Rate Scheduler (LR Scheduler) trait. Defines a generic interface for schedulers that adjust the learning rate during optimization. Concrete implementations may update the learning rate based on iteration count, loss values, or other criteria. Notes: - The parameterless step() is intended for schedulers that adjust learning rate solely based on iteration count. - The step(currentLoss) method is intended for schedulers that adapt learning rate based on the current loss value. - By default, both methods throw UnsupportedOperationException; subclasses must override the method(s) they support.