The structure of most learning algorithms is pretty simple (eg. linear
models or decision tree ensembles). A linear classifier for text
classification could be simply converted into a python dictionary where the
keys are terms and values are the coefficients (``coef_``) of the linear
classifier - u
First of all, hi everyone,
As Manoj mentioned, last year I applied with my collaborative filtering
idea and not accepted mainly because I did not commit to the project.
This year I will apply again and I have a few project ideas (I won't be
avoiding the commits this time). I am writing my thesis
A different approach to PMML is this project to expose Machine Learning as
a Service through a RESTful API. There is a sample in the website exposing
scikit and weka models:
http://psi.cecs.anu.edu.au/
I agreee with Vlad that consuming machine learning as an external service
to the android app wou
> Do you have any specific use case in mind for running scikit-learn on
> Android? Maybe an interesting and more useful project instead would be
> to implement PMML (Predictive Model Markup Language) exporters.
Yes, I thought in this direction too (although last time I looked at PMML I
got scared
Hi All,
I am using Ward agglomeration with a connectivity matrix for reducing the
dimensionality of my features. After agglomeration. I would like to compute
the resulting connectivity matrix i.e. between the agglomerated features.
Is there a straightforward way to compute it?
--
Regards,
Sanmi
I don't think Weka (at least the interesting parts of it) could run on
Android either. I don't really foresee the whole Scipy stack running on
Android; maybe one day when all dependencies are rewritten in PyPy and
are faster and still 100% compatible...
One thing that would be possible (but I d
@pablo
Thanks for the input on weka. I'll look into it. Do you have any experience
with it? Good/bad?
@Oliver
Haha. Well I know its kinda ambitious, was clear from the discussions on
gmane. Thanks anyways!
On Mon, Jan 20, 2014 at 5:06 AM, Pablo Rozas Larraondo <
p.rozas.larrao...@gmail.com> wrote
As Android is most Java based, what about using Weka, an older Java based
library for machine learning...
On 20 January 2014 10:03, Tejas Nikumbh wrote:
> Hi guys,
>
> Is there a way we can utilise scikit-learn in android based projects?
> If not , does this sound like a good idea for a pr
2014/1/20 Tejas Nikumbh :
> Hi guys,
>
> Is there a way we can utilise scikit-learn in android based projects?
AFAIK, no.
> If not , does this sound like a good idea for a project [possibly a gsoc
> project]? What might be the hurdles associated?
Trying to build scipy and its fortran build
Hi guys,
Is there a way we can utilise scikit-learn in android based projects?
If not , does this sound like a good idea for a project [possibly a gsoc
project]? What might be the hurdles associated? Any productive discussions
appreciated!
Thankyou,
--
Tejas Nikumbh,
Fourth Year Undergradu
Hi
I was interested in the implementation of *stacking ensemble
meta-estimator*for the scikit-learn project, and as suggested by a
previous email on the
mailing list I've gone through the source-code of scikit-learn in general
and the source code of ensemble methods in specific.
I want to start wor
Hi Gael,
Thanks for the reply. I had posted on the list about the Gaussian Mixture
Model project over here
http://sourceforge.net/mailarchive/message.php?msg_id=31860906 too. (Your
name was listed as a potential mentor), . I understand that you are
incredibly busy, but it would be great if you or
Hi Manoj,
Thanks a lot for your contributions to scikit-learn, and for stepping up
to propose a GSOC. Let me give some high-level answers, as I am now too
busy to get in the details, and we have a fantastic team that does it
very well.
As you have seen from the answers that you got to your email,
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