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I added backwards compatibility (default behavior: as before, meaning return_times = False)
I also added a plot_learning_curves_times.py under examples/model_selection that will generate the following plot:
Should I take care of generating the doc for this example? If yes, how?
I think it's fair enough. We currently return a similar dict in
cross_validate (not a bunch there or in GridSearchCV.cv_results_, but could
be), but this API was designed to follow cross_val_score before
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