Version 0.11.0

ADD #992: Move ensemble building from being a separate process to a job submitted to the dask cluster. This allows for better control of the memory used in multiprocessing settings. This change also removes the arguments ensemble_memory_limit and ml_memory_limit and replaces them by the single argument memory_limit.
FIX #905: Make AutoSklearn2Classifier picklable.
FIX #970: Fix a bug where Auto-sklearn would fail if categorical features are passed as a Pandas Dataframe.
MAINT #772: Improve error message in case of dummy prediction failure.
MAINT #948: Finally use Pandas >= 1.0.
MAINT #973: Improve meta-data by running meta-data generation for more time and separately for important metrics.
MAINT #997: Improve memory handling in the ensemble building process. This allows building ensembles for larger datasets.

Contributors v0.11.0