But using OrderedDict or some other Bunch 2.0 is beside the point. Even if
we find some awesome way of storing the datasets while allowing the cool
oneliner, it will still mislead people into thinking they need to put their
data into that format. What we want is to make it super-obvious that
scikit-learn itself only cares about X and y (most of the times).
Now, how to do that?
Vlad
On Mon, Jun 17, 2013 at 6:52 PM, Olivier Grisel <[email protected]>wrote:
> 2013/6/17 Lars Buitinck <[email protected]>:
> > 2013/6/17 Andreas Mueller <[email protected]>:
> >> On 06/17/2013 04:46 PM, Gael Varoquaux wrote:
> >>>> With a long enough deprecation cycle, I'm +1.
> >>> I am -1 because I like the flexibility of the bunch-like object.
> However,
> >>> I think that we could move to a dictionary.
> >>>
> >> We could also use a named tuple.
> >> That would also support unwrapping, so we could have flexibility but
> >> could also directly access the content.
> >
> > Named what, Bunch? :p
>
> The Bunch class does not allow the following oneliner:
>
> X, y = load_iris()[:2]
>
> while a namedtuple would as the attributes are ordered in a namedtuple.
>
> That being said, if Bunch were to derive from
> http://docs.python.org/2/library/collections.html#collections.OrderedDict
> we could make it work. But that would require us to backport
> OrderedDict in sklearn/utils/fixes.py to keep python 2.6 compat.
>
> --
> Olivier
> http://twitter.com/ogrisel - http://github.com/ogrisel
>
>
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