how to use model.hyper_parameter_search() method?

I know lore has model.hyper_parameter_search() and command lore hyper_fit command ,but in lore project I have not find some docs or demo for it ,as we know , we always use from sklearn.model_selection import GridSearchCV

from sklearn.model_selection import RandomizedSearchCV

could you give some tutorial for this ,
by the way ,we also need to override the fit predict method ,
and sometime we also need some estimators that lore has not provide ,
for example from sklearn.ensemble import RandomForestRegressor
also ,we need lore support pyspark