On Sat, Sep 28, 2013 at 4:28 AM, Robert Layton wrote:
> This is a great idea!
> I wonder if my recent PR on licences skewed my result (in which I touched
> nearly every file...).
>
I would try tf-idf.
Mathieu
--
October
Hi Gilles,
thanks for the help.
It helps, but mlp doesn't track the pull request branch.
I would like to be able, when in mlp, to just do:
git pull mlp
to fetch and merge all the changes in the remote pull request branch!
Thanks again for the help!
*Luca Cerone*
Tel: +447585611951
Skype: luc
2013/9/28 Mathieu Blondel :
> I would try tf-idf.
Or at least sublinear frequency weighting: 1 + log(f), implemented by
TfidfTransformer(use_idf=False, sublinear_tf=True).
But what do we consider the "documents" in this case?
As for an example, I was actually considering making a standalone tool
This is an error on collections defaultdict in Python 2.6.1
--
October Webinars: Code for Performance
Free Intel webinars can help you accelerate application performance.
Explore tips for MPI, OpenMP, advanced prof
Hi Guys,
I'm a newbie here. I want to learn to contribute to scikit learn. I have an
understanding of the machine learning concepts that scikit learn
implements, so any guidelines would be appreciated!
--
Tejas Nikumbh,
Fourth Year Undergraduate,
Electrical Engineering Department,
IIT Bombay.
--