r search to find the best algorithm.
>
> If that is your question I can share my code.
Thank you for the answer, but my problem in this case different [have
elaborated later in another post].
Regards,
Abhi
-
vs 12G)]
--[Apologies on the duplicate thread, seems that it might take more than
6hrs for the post to show up]
Thanks,
Abhi
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How can we normalize and compare probabilities from different classifier
models in scikit?
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Intel(
How can we combine probabilities from multiple classifiers in sklearn?
[Classifiers are trained on similar type datasets, difference being their
sizes and the way each result might be used]. I am using SGDClassifier to
train the individual classifiers, and need to choose the best amongst them.
B
>
> Indeed Abhi which section specific section of the documentation (or
> docstring) led you to ask this question?
>
> The note on this page is pretty explicit:
>
> http://scikit-learn.org/dev/modules/multiclass.html
>
> Along with the docstring:
>
> htt
Hello,
I have been reading and testing examples around the sklearn documentation and
am not too clear on few things and would appreciate any help regarding the
following questions:
1) What would be the advantage of training LogisticRegression vs
OneVsRestClassifier(LogisticRegression()) for mu
Andreas Müller writes:
>
> Alternatively you could look at the output of "decision_function" in
LinearSVC.
> These do not represent probabilities, though.
>
> Andy
>
Hi Andy, thanks for pointing me towards that. I looked around online but I'm
still not sure how I can use the decision_funct
Gael Varoquaux writes:
>
> On Thu, Aug 09, 2012 at 01:02:21AM +, Abhi wrote:
> > I am using sklearn.svm.LinearSVC for document classification and I get
> > a
> > good accuracy[98%] on predict. Is there a way to find the confidence of
match
> > (like pr
I am using sklearn.svm.LinearSVC for document classification and I get a
good accuracy[98%] on predict. Is there a way to find the confidence of match
(like predict_proba() in SGDClassifier)?
This would help me in determining the way to handle the remaining 2%, ie the
documents that do n
Olivier Grisel writes:
> I don't know if there is any maximum file size on the gists. Just try
> and if it fails use something else such as dropbox public folder or
> Amazon S3 if you have an account.
>
Adding all the files to https://github.com/abhirk/LinearSVC.
Thanks.
Abhi writes:
>
> Olivier Grisel writes:
>
> > Could you please try to come up with one or two minimalistic
> > reproduction scripts for the ch2.fit_transform and LinearSVC.fit
> > segfaults? Is it just that it is exhausting memory on your system? Are
> >
Olivier Grisel writes:
>
> 2012/7/25 Abhi :
> >
> > Hello,
> > Sorry for getting back late..I originally had experimented with
different
> > classifiers including SGDClassifier, it seemed faster but much less
accurate,
> > about 93% for 3 emails[an
ers,
> Andy
>
> - Ursprüngliche Mail -
> Von: "Fred Mailhot" gmail.com>
> An: scikit-learn-general lists.sourceforge.net
> Gesendet: Samstag, 14. Juli 2012 22:14:51
> Betreff: Re: [Scikit-learn-general] Online learning
>
> On 14 July 2012 04:22,
have not explored all the paths, but if I am missing
anything any help, suggestions would be appreciated.
Thanks,
Abhi
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