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Fix performance issue with pre-fit global importance explainers
Runtime testing determined that when GlobalFeatureImportance explainers are given a training set on init and fit using fit_on_init, they take about twice the time to fit and produce an explanation as when fit is called after initialization with the dataset. It is not known if the issue lies in fit_on_init or in providing the dataset on initialization