Fix CV shuffle/stratified handling + hyperopt bounds guard + tests #61
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This PR aligns LightGBMLSS.cv() with its docstring by passing through stratified and shuffle instead of forcing False. This enables proper shuffling for standard CV and supports time‑series use cases with shuffle=False. It also adds a safeguard in hyperparameter optimization to skip invalid low/high bounds (e.g., low >= high) so Optuna can continue exploring valid trials rather than failing. Unit tests extend the existing test_model.py to assert that shuffle=True and shuffle=False are respected, consistent with present test organization.