Thank you all for the pointers. This gives me a great place to start. I
will let you know if I find anything that is useful sharing with the list.
Josh
On Fri, Oct 4, 2013 at 9:42 AM, Emanuele Olivetti
wrote:
> Hi Josh,
>
> Some years ago I used to work on a similar problem, i.e. to decide whi
Hi Michal,
There is an issue open for this:
https://github.com/scikit-learn/scikit-learn/issues/1680?source=cc
Feel free to join in
Cheers,
J
2013/10/4 Michal Romaniuk
> I'm not sure if it's feasible but it would be nice to have links to
> github sources in the online docs. When I'm writing
I'm not sure if it's feasible but it would be nice to have links to
github sources in the online docs. When I'm writing my own transforms, I
often browse the docs for something with a similar interface and look up
the sources to see how it's implemented. A direct link would be useful :-)
Cheers,
M
Hi Josh,
Some years ago I used to work on a similar problem, i.e. to decide which
attributes
of which instances should be measured in order to reach a given goal (in our
case:
to learn which features were important and which ones were not, with respect to
class
labels). Note that this formul
This sounds a bit like *active class selection* rather than traditional
active learning. See this paper: http://dl.acm.org/citation.cfm?id=1421731.
You might also try the active learning mailing list:
[email protected].
Best,
-Byron
On Thu, Oct 3, 2013 at 10:01 AM, Josh Wasser
2013/10/3 Josh Wasserstein :
> Hello,
>
> I work in a classification problem where each instance has several
> attributes (e.g. the age of an individual). However, collecting instances
> (either labeled or unlabeled) is very expensive, since it requires asking
> domain experts to spend a significan
