2019年12月3日(火) 5:36 Andreas Mueller <t3k...@gmail.com>: > It does provide the ranking of features in the ranking_ attribute and it > provides the cross-validation accuracies for all subsets in grid_scores_. > It doesn't provide the feature weights for all subsets, but that's > something that would be easy to add if it's desired. >
I would guess that there is some population of the user base that would like to track the per-iteration feature weights. It would appear to me that a straightforward (un-optimized) implementation would be place a NaN value for a feature once it is eliminated, so that a numpy.ndarray can be returned and immediately dumped to matplotlib.pcolormesh or other visualization routines in various libraries. Just an idea. J.B.
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