Some interesting looking references there, will take a look - thanks!
Regards,
Nigel Legg
07914 740972
http://www.trevanianlegg.co.uk
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On 19 August 2013 17:46, Peter Prettenhofer wrote:
> Hi Yogesh,
>
> the work by John Blitzer th
Thanks for the pointers Peter. I'm doing an unrelated project on
covariate shift, and this will be really useful.
Lee.
On Mon, Aug 19, 2013 at 12:46 PM, Peter Prettenhofer
wrote:
> Hi Yogesh,
>
> the work by John Blitzer that I mentioned used the second approach -- its
> described here:
>
> Bli
2013/8/15 Joel Nothman :
> Or perhaps since it's a bug in multiprocessing's queuing protocol, joblib
> could handle it by writing oversize object to disk, assuming there's enough
> free space in $TMPDIR.
Which is what it now does in the master branch (of the upstream joblib
project) by default.
-
Hi Yogesh,
the work by John Blitzer that I mentioned used the second approach -- its
described here:
Blitzer, J., Dredze, M., Pereira, F., Jun. 2007. Biographies, bollywood,
boom-boxes and blenders: Domain adaptation for sentiment classification.
In: Proceedings of ACL, Prague, Czech Republic, pp
Hi Folks,
Thanks a lot for suggesting me good references!
@ Peter : You can send me the more ref.
@ Gael : WIsh you a speedy recovery!
@ Olivier : Thanks a lot for listening my problem quitely and asking for
clarifications.
Next time and onwards I will try to be more specific explain
Hi,
I don't have any references on stock market analysis with scikit-learn or
any any machine learning approaches. This example is a toy to demonstrate
what can easily be done with scikit-learn. It is certainly not something
serious with stock-market analysis and I do not work on these problems.
Hi list,
Coming back from travel, with a slight elbow injury that makes typing
difficult...
Anyhow, I just wanted to stress that a lot of good advice has been
put forward in the discussion so far, and that, when we find time, I
think that a subsection of the docs dealing on class-imbalance, covar