On Fri, May 17, 2013 at 3:37 PM, Gael Varoquaux <
[email protected]> wrote:
> > Given one of these estimators, a perceptron, say, we can use:
>
> > perceptron.to_selector()
>
> > which returns an estimator whose parameters are generic things for
> feature
> > selection by score: a minimum score, maximum score,
>
> I think that this is software sophistication that makes it harder to use
> for people who are not used to complex software construct (think the
> matlab 101 user), and I for this reason, am -1.
I understand that. One reason I'm not wedded to it, but thought it was
worth proposing.
So you'd +1 the transform_threshold object parameter?
(And Vlad, my suggestion produces your meta-estimator, but ensures that
only compliant estimators can do so via a mixin to_selector method.)
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