I haven't been able to find any canonical sources on how tweedie_variance_power comes into play when predicting using an XGBoost algorithm with objective=reg:tw
When I run a Tweedie GLM, one can get the prediction from the link by doing exp(link). To get the prediction for a Tweedie GLM, I get the prediction from the li