Ok, I got it.
I'll look at the code and see what can be done.
Thank you.
On Fri, Jun 21, 2013 at 7:17 PM, Andreas Mueller
wrote:
> On 06/21/2013 03:37 PM, Maheshakya Wijewardena wrote:
> > Thank you. I'll have look at the forest implementation and check what
> > can be done and inform you.
> >
On 06/21/2013 03:37 PM, Maheshakya Wijewardena wrote:
> Thank you. I'll have look at the forest implementation and check what
> can be done and inform you.
> I'd like to have a look at Gilles s code. If it's convenient, can you
> tell how you tried to implement that?
I think it was mostly removin
Thank you. I'll have look at the forest implementation and check what can
be done and inform you.
I'd like to have a look at Gilles s code. If it's convenient, can you tell
how you tried to implement that?
best
Maheshakya
On Fri, Jun 21, 2013 at 6:55 PM, Andreas Mueller
wrote:
> On 06/21/2013
On 06/21/2013 12:56 PM, Maheshakya Wijewardena wrote:
> So that means that bagging can only be applied to trees. How about
> implementing a general module so that it can be applied on more
> learning algorithms.
>
I think that would be great.
You should look at the forest implementation to get st
So that means that bagging can only be applied to trees. How about
implementing a general module so that it can be applied on more learning
algorithms.
On Fri, Jun 21, 2013 at 4:17 PM, Olivier Grisel wrote:
> 2013/6/21 Gilles Louppe :
> > Hi,
> >
> > Such ensembles are not implemented at the mom
2013/6/21 Gilles Louppe :
> Hi,
>
> Such ensembles are not implemented at the moment.
Ensembles of trees have a `bootstrap` parameter that do bagging,
although they also randomize the feature selection and optionally
split locations.
--
Olivier
---
I'm doing a brownfield development for a university project and I'm so
interested in this field. If I start implementing that kind ensemble
method, will it suit in the scope of this scikit-learn project. Will it be
useful for the users?( I've felt the need of that personally. It has
improved the re
Hi,
Such ensembles are not implemented at the moment.
Gilles
On 21 June 2013 09:59, Maheshakya Wijewardena wrote:
> Hi all,
> I would like to know whether we have bootstrap aggregating functionality in
> scikit-learn library. If so, How do I use that?
> (If it doesn't exist I would like to imp
Hi all,
I would like to know whether we have bootstrap aggregating functionality
in scikit-learn library. If so, How do I use that?
(If it doesn't exist I would like to implement that explicitly to cohere
with the learning algorithms we have in scikit-learn)
Thank you
