how to use model.hyper_parameter_search() method?

[mullerhai]

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

[montanalow]

• @solitaryreaper has recently used the hyper_parameter_search functionality. Would you mind adding a docstring with some of the examples?
• All sklearn estimators should be supported via lore.models.sklearn & lore.estimators.sklearn. Please report any errors you encounter (with stack traces etc)
• Pyspark is something we're experimenting with and will release integration if it works out well (we expect to maintain the same level of simple apis, otherwise, just use pyspark :)