Hi Nikolay,
On Wed, Oct 8, 2014 at 10:03 PM, Nikolay Mayorov wrote:
> Hi!
>
> Do you think scikit-learn will benefit from the general algorithm of feature
> selection as described by P.Pudil et al. in "Floating search methods in
> feature selection"?
>
> It is a wrapper method which alternates f
Hi!
Do you think scikit-learn will benefit from the general algorithm of feature
selection as described by P.Pudil et al. in "Floating search methods in
feature selection"?
It is a wrapper method which alternates feature additions and removals
(starting from empty or full set of features.
Hi Shalu.
Can you show your code or explain what you tried and didn't work?
Cheers,
Andy
On 10/07/2014 07:03 PM, shalu jhanwar wrote:
Hi Scikit Users,
I want to make a ROC curve to compare various classifiers. Can anybody
tell me how to plot it? I am already familiar of plotting ROC using
c
On 10/08/2014 02:35 AM, Joel Nothman wrote:
> You can even just edit the file directly at
> https://github.com/scikit-learn/scikit-learn/blob/master/examples/feature_stacker.py
>
Done. Not sure what I was thinking.
--
Mee
Generic python cannot use all cores efficiently when using threads
because of the Global Interpreter Lock [1]. This is why people use
multiprocessing instead of threading.
multiprocessing can be quite complex to use properly though. I would
advise you to use the joblib wrapper instead. Please see
Oh yeah, sorry for mistake.
On Wed, Oct 8, 2014 at 3:12 PM, Lars Buitinck wrote:
> 2014-10-08 11:32 GMT+02:00 Karimkhan Pathan :
> > can I use this trained file with nltk to classify `plain input text`?
>
> This is the scikit-learn mailing list. You should be asking on the NLTK ML.
>
>
> ---
2014-10-08 11:32 GMT+02:00 Karimkhan Pathan :
> can I use this trained file with nltk to classify `plain input text`?
This is the scikit-learn mailing list. You should be asking on the NLTK ML.
--
Meet PCI DSS 3.0 Complia
I have 114MB sized model file which is trained using svmlight.
file looks like :
*SVM-light Version V6.020 # kernel type3 # kernel parameter
-d1 # kernel parameter -g1 # kernel parameter -s1 # kernel
parameter -rempty# kernel parameter -u69