stacking, named base models

It would be nice if the base models in the stacking ensembles explicitly required names, similar to sklearn's Pipeline named_steps and ColumnTransformer. When all my base models are themselves pipelines, digging into the nest to find actual names becomes tedious. (Especially in the context of set_params and grid searches, where the default behavior requires things like pipeline-1__...: http://rasbt.github.io/mlxtend/user_guide/classifier/StackingCVClassifier/#example-3-stacked-cv-classification-and-gridsearch )

Maybe it's too late to try to change the API to require names as in ColumnTransformer, but perhaps as an optional parameter?

Start with the stacking ensemble API, especially StackingCVClassifier, and compare its current parameter naming with sklearn Pipeline named_steps and ColumnTransformer. Review how set_params and grid searches currently address nested base models; done requires a decided required-versus-optional naming design and corresponding parameter paths.