You posted on the ML yesterday. This is mostly a volunteer-run project.
I try to respond to everything within at least a day, but I was
travelling the last weeks.
If you feel a day is not an acceptable response time, I am afraid you
will not be happy with this project.
On 07/28/2015 12:52 PM, Sreenivas Raghavan wrote:
i,
i am new to scikit-learn. I am intersted to contribute either by
introducing some new algorithms or optimizing existing algorithms. I
have gone through the issue-tracker and found few interesting topics
to work on like NCA anf NMF. I have posted my question as what is the
status of the work and what are the changes to be introduced. But I
got no reply. Please try to resolve the response time.
I need some topics which are to be implemented from scratch. I tried
to post in the scikit discussion forum but no one replied.
On Tue, Jul 28, 2015 at 11:13 PM, Andreas Mueller <t3k...@gmail.com
<mailto:t3k...@gmail.com>> wrote:
Hi Gryllos.
Before contributing a new feature (which is usually a major
undertaking)
it us usually a good idea to get started working on known issues,
have a look at the issue tracker.
I'm not familiar with the feature line approach. Can you elaborate
and provide a reference?
Please see the FAQ for our policy on algorithms we like to include:
http://scikit-learn.org/dev/faq.html#can-i-add-this-new-algorithm-that-i-or-someone-else-just-published
http://scikit-learn.org/dev/faq.html#can-i-add-this-classical-algorithm-from-the-80s
Cheers,
Andy
On 07/23/2015 06:54 PM, Prokopis Gryllos wrote:
Hi everyone,
I would like to contribute code to the project and I was thinking
of implementing
a nearest feature line approach to the nearest neighbor class.
As it is suggested in the instruction set about contributing I
thought it would be best
to ask you first before I start working on it.
Thank you in advance, I am waiting for your reply!
Best Regards,
Gryllos Prokopis
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