Fixes for multiobjective optimization

[PeterDSteinberg]

For this issue, make sure that EaSearchCV (and other elm.model_selection classes) can score with cross validation when >1 scoring callable is given. Use dask-ml capabilities from PR 68

[PeterDSteinberg]

Hi @TomAugspurger - saw your merge here : dask/dask-searchcv#60

It's closely related to this Elm issue. We need the evolutionary algo's pareto sorting to take advantage of the multiple scoring functions support from that PR. I assigned this one to you - it is lower priority than the demos with spectral clustering.

[TomAugspurger]

Thanks,

For getting up to speed, is there a place in the repo that currently does single-objective optimization?

[PeterDSteinberg]

elm.model_selection.ea_search - EaSearchCV wraps the dask-searchcv base class and its fit method
elm.model_selection.evolve - general wrapper for EA algo based on deap's NSGA-2 example; has a generator that yields new parameter sets