Is there a way to pass an objective parameter or an eval_metric to xgboost ? Or any other algo ?

There seems to be a definitive list of supported hyperparameters defined on PostgresML side but it doesn't seem to support any of them.

I would like to eval_metric = 'mae' for price prediction and objective = 'reg:logistic' for duplicates detection as documented here: https://xgboost.readthedocs.io/en/stable/parameter.html

The equivalent python code

model = XGBRegressor(objective="reg:linear", eval_metric="mae")