hi Gael,
thanks for that.
Firstly i have some issues to clarify before diving into the proposal part.
I have a potential architecture in mind for the sparse implementation
firstly i feel a separate baseSplitter ( SparseSplitter) must be
implemented which is inherited by the Sparsebestsplitter etc.
We can construct algorithms for efficiently extracting random features or
extracting samples.
But how do we implement a tree that works on sparse data ?
"The binary tree is represented as a number of parallel arrays. The i-th
element of each array holds information about the node `i`"
And i don't think trees work on sparse matrices by standard
Excuse my noobness, but can anyone help me out ?
On Thu, Mar 6, 2014 at 12:01 PM, Gael Varoquaux <
gael.varoqu...@normalesup.org> wrote:
> Hi Kaushik,
>
> What I suggest that you do is that you create a page on the wiki for your
> proposal, and you start iterating on it there. You also need to ask for
> feedback on the mailing list with regards to that page and need to find
> two mentors (one mentor and a co mentor) that are willing to mentor you
> and ideally help build your proposal.
>
> Cheers,
>
> Gaël
>
> On Thu, Mar 06, 2014 at 04:45:58AM +0530, vamsi kaushik wrote:
> > Hi,
> > I am kaushik and i would like to submit a proposal for gsoc 2014. I have
> been
> > working on the sparse matrix implementation in decision trees. I would
> like to
> > write a proposal regarding the project and i would be glad if anyone
> could help
> > me out.
>
> > thanks,
> > kaushik varanasi
>
> >
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> Gael Varoquaux
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> Laboratoire de Neuro-Imagerie Assistee par Ordinateur
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