Some classifiers (several of the tree based ones - RandomForest,
GradientBoostingRegressorTree) have a clf.feature_importances_ which can be
plotted to show the relative strength of each feature. sklearn.ensemble
also has a module called partial_dependence, which has a function
plot_partial_dependence, which plots feature importances against each other
as a "heat map". Maybe these will help you?
On Thu, Jan 23, 2014 at 2:19 PM, Arman Eshaghi <arman.esha...@gmail.com>wrote:
> Dear all,
>
> I was wondering whether there is a sensitivity analyzer inside
> scikit-learn? I saw recursive feature elimination, but I would like to see
> which features are the most important for classification in my data.
>
> All the best,
> Arman
>
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