Dear SKLearn people,
I'm new here, so here's a short intro: I am a machine learning research and
I am setting up OpenML.org, a platform to share ML experiments online,
including data, code, and results (models, predictions). It is meant as a
collaboration performance (collaborative model building) and to build on
other people's experiments for larger studies or better comparisons. More
info here: http://www.openml.org
OpenML has a REST API that allows you to upload/download datasets, code and
experiments. Right now, we have interfaces for Java and R, but only a
preliminary module to interact with Python and SKLearn. We've been using
Python and IPython notebooks to pull down data and experiments from OpenML
and do analyses. There is a lot of opportunity here to do great work, but
also some coding ahead to make everything run smoothly.
The Google Summer of Code would be a very good opportunity to push this
forward, and I'm planning to submit a plan to the Python Software
Foundation. I have quickly written a description on the OpenML/Python wiki:
https://github.com/openml/python/wiki/Google-Summer-of-Code-ideas-page
We are still looking for good mentors, would any of you be interested in
this? Also feel free to edit the wiki and add more ideas :).
Many thanks,
Joaquin
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