TimSchim

This seems to only work when using a tuner that uses this option. When I use Random instead of TPE I get `TypeError: __init__() got an unexpected keyword argument 'optimize_mode'`...

Any other suggestions or should this be a new feature for future versions of the Web Portal?

I noticed this issue was closed but I just encountered the same problem with a default estimator. ``` [automl.best_model_for_estimator(e) for e in automl.estimator_list] ``` returns ``` [, , , ,...

Found the source of this for my case. Seems like ```xgb_limitdepth``` gets relatively few resources compared to the other estimators which leads to no model being fit for this estimator....