Hi Milton.
In which context is consensus clustering usually used, and what are the
main applications?
We will not add an external dependency, sorry.
Cheers,
Andy
On 02/12/2015 01:55 PM, Milton Pividori wrote:
Hi, guys. My name is Milton Pividori and this is the first time I
write to this list. I'm a PhD student, working on clustering,
particularly on consensus clustering. I'm relatively new to Python,
and I am migrating legacy code from MATLAB. I plan to use scikit-learn
as well as other libraries.
After looking at the scikit code and the mailing list, I didn't found
any methods related to consensus clustering or cluster ensembles. I
think the main paper about it is the one from Strehl and Ghosh (2002,
JMLR, link
<http://www.jmlr.org/papers/volume3/strehl02a/strehl02a.pdf>). I don't
know if you discussed about it before, but I think it could be a good
idea to have these consensus functions implemented in scikit-learn
(the paper proposes three, graph-based).
I was thinking on how to implement them. These three consensus
functions (CSPA, HGPA and MCLA) use METIS for graph partitioning. That
could be an obstacle for scikit-learn interests, as a new dependency
would be needed (I found python bindings for it). It would be also
necessary to implement some methods for ensemble generation with
varying levels of diversity (generating different clustering
partitions by varying algorithms, changing their parameters or
manipulating data with projections, subsampling or feature selection),
but that's easier than implementing the consensus functions.
Well, it's just an idea. I would be glad to help with coding if this
is interesting for the community.
Regards,
2015-02-12 13:38 GMT-03:00 Sebastian Raschka <se.rasc...@gmail.com
<mailto:se.rasc...@gmail.com>>:
What about adding multiclass support for the SVC "roc_auc" for
grid search CV to the to do list?
Best,
Sebastian
On Feb 12, 2015, at 10:12 AM, Ronnie Ghose <ronnie.gh...@gmail.com
<mailto:ronnie.gh...@gmail.com>> wrote:
+1 to partial fit -1 to gam and more probabilistic things in sklean
On Thu, Feb 12, 2015, 9:22 AM ragv ragv <rag...@gmail.com
<mailto:rag...@gmail.com>> wrote:
Hi,
Is there a good deal of interest in having GAMs implemented?
The timeline for such a project would go something like :
Before GSoC:
* Implement SpAM
Before Midterm :
* Help merge pyearth into scikit learn
* Implement Additive Model -> `AdditiveClassifier` /
`AdditiveRegressor` ( Not sure if my wording here is correct )
After Midterm :
* Implement GAMLSS
* Implement LISO
Kindly also see
https://github.com/scikit-learn/scikit-learn/issues/3482 for
references with citation counts.
The package mgcv by Simon Woods / GAM / BAM in CRAN is mature and
could be used as reference material too...
On a scale of 0 to 100 could I know how much importance /
interest
would there be in such a project for GSoC 2015?
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Milton Pividori
Blog: www.miltonpividori.com.ar <http://www.miltonpividori.com.ar>
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