Thanks Olivier, Andreas. And, again to the text classification module
authors. sklearn rocks!
I think I was quite lucky, but I'm not complaining! :)
My feature set was almost the same as the char and word features that
Andreas used. I found that SVC gave me better performance than LR. And,
some n
India.
-- Forwarded message --
From: Vivek Sharma
Date: Tue, Sep 11, 2012 at 1:29 PM
Subject: Re: CRF in sklearn?
To: Olivier Grisel
Hi Olivier,
Thanks for your response.
I've used the text classification modules for a private competition and the
EMC Israel Data Science Ch
ter.prettenho...@gmail.com> wrote:
> 2012/9/20 Vivek Sharma :
> > Hi Andreas,
> >
> > Thanks for your comments.
> >
> > For CRF, linear chain... mainly for NLP tasks.. I will probably use the
> > Stanford implementation, but I haven't tried it yet.
&
#x27;t think of using the inverse_transform of the Select*
operators. That should help!
On Thu, Sep 20, 2012 at 12:29 PM, Andreas Mueller
wrote:
> Hey Vivek.
> Thanks for sharing your success with sklearn.
> Out of curiosity: CRF learning for loopy graphs or non-loopy graphs or
> chains?
>
ssage --
From: Vivek Sharma
Date: Tue, Sep 11, 2012 at 1:29 PM
Subject: Re: CRF in sklearn?
To: Olivier Grisel
Hi Olivier,
Thanks for your response.
I've used the text classification modules for a private competition and the
EMC Israel Data Science Challenge.
I was able to get 1
