Hi Sean,
Thanks for the link. I was not aware of that, but I'm really not sure to
what extent we modify the shipped liblinear source files.
For example there is an issue related to warm restart that I pinged Fabian
about .
https://github.com/scikit-learn/scikit-learn/issues/11#issuecomment-50328761
Also there are other issues like the max_iter param is harcoded to 1000 in
liblinear, which makes it difficult, to compare the effects of really low
tolerances with different solvers.
@Joel and other core devs
Sorry for the dumb question but what is the status on modifying the the
liblinear source files?
On Tue, Jul 29, 2014 at 2:44 AM, Joel Nothman <[email protected]>
wrote:
> There is actually an open PR to import the sample_weight changes into the
> scikit-learn copy of liblinear:
> https://github.com/scikit-learn/scikit-learn/pull/2784. It would
> appreciate some love, or someone to executively decide that it's not worth
> including.
>
>
> On 29 July 2014 10:36, Sean Violante <[email protected]> wrote:
>
>> it wasn't clear from the blog post but
>> are you aware that liblinear has a modification that handles sample
>> weights
>> http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/#weights_for_data_instances
>>
>> [fyi what I would be interested in (and I am not sure this is implemented
>> in that mod) is where one can aggregate the target]
>> ie in dealing with categorical data one would group over the input data,
>> weighting =group size and have target variable=average over group.
>>
>>
>> On Tue, Jul 29, 2014 at 2:03 AM, <
>> [email protected]> wrote:
>>
>>> Send Scikit-learn-general mailing list submissions to
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>>> When replying, please edit your Subject line so it is more specific
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>>>
>>> Today's Topics:
>>>
>>> 1. Re: Evaluation measure for imbalanced data (Yogesh Karpate)
>>> 2. [GSoC] - Logistic Regression CV (Manoj Kumar)
>>> 3. Re: RBK Kernel - Query (umang patel)
>>>
>>>
>>> ----------------------------------------------------------------------
>>>
>>> Message: 1
>>> Date: Tue, 29 Jul 2014 00:12:02 +0200
>>> From: Yogesh Karpate <[email protected]>
>>> Subject: Re: [Scikit-learn-general] Evaluation measure for imbalanced
>>> data
>>> To: [email protected]
>>> Message-ID:
>>> <
>>> cag7mfdsbnfqmqemddfxxzouhfhpnusbivjxcf1ozyegmvzu...@mail.gmail.com>
>>> Content-Type: text/plain; charset="utf-8"
>>>
>>> Dear Hamed,
>>> Can you share the code of "balanced accuracy" as you mentioned in last
>>> mail.
>>>
>>>
>>> On Tue, Jul 29, 2014 at 12:07 AM, Hamed Zamani <[email protected]>
>>> wrote:
>>>
>>> > Dear Mario,
>>> >
>>> > Yes of course. Sorry I forgot to mention GMeans. It is also one of the
>>> > measures which have been used frequently.
>>> >
>>> > -- Hamed
>>> >
>>> >
>>> >
>>> > On Tue, Jul 29, 2014 at 2:24 AM, Mario Michael Krell <
>>> [email protected]>
>>> > wrote:
>>> >
>>> >> Dear Hamed,
>>> >>
>>> >> I think it would be a good idea to also consider gmean when extending
>>> >> scikit. It is the geometric mean of TNR and TPR instead of the
>>> arithmetic
>>> >> mean used for the balanced accuracy.
>>> >>
>>> >> Greets
>>> >>
>>> >> Mario
>>> >>
>>> >> On 28.07.2014, at 19:00,
>>> >> [email protected] wrote:
>>> >>
>>> >> Dear Joel,
>>> >>
>>> >> Sorry for the delay. I was in a trip and I couldn't check my email.
>>> >>
>>> >> To the best of my knowledge and according to the kind responses in
>>> this
>>> >> email thread, we cannot claim that an specific measure is better than
>>> the
>>> >> others for imbalanced data. In other words, there are some evaluation
>>> >> measure suitable for imbalanced data and each of them has its own
>>> >> advantages. Hence, choosing the best evaluation measure totally
>>> depends on
>>> >> the application which you are working on.
>>> >>
>>> >> Anyway, "Matthew's Correlation Coefficient", "AUC of ROC",
>>> "F-measure",
>>> >> "Balanced Accuracy", and generally "Weighted Accuracy" have been used
>>> >> frequently in the literature. Among these measures, only "balanced
>>> >> accuracy" is not developed in scikit-learn and I think it is
>>> worthwhile to
>>> >> add it to this library. I have developed it before and if you want I
>>> can
>>> >> add it to the project or send it to you.
>>> >>
>>> >> Kind Regards,
>>> >> Hamed
>>> >>
>>> >>
>>> >>
>>> >>
>>> >>
>>> ------------------------------------------------------------------------------
>>> >> Infragistics Professional
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>>> >>
>>> >> _______________________________________________
>>> >> Scikit-learn-general mailing list
>>> >> [email protected]
>>> >> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>>> >>
>>> >>
>>> >
>>> >
>>> >
>>> ------------------------------------------------------------------------------
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>>>
>>>
>>> --
>>> Warm Regards
>>> Yogesh Karpate
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>>> ------------------------------
>>>
>>> Message: 2
>>> Date: Tue, 29 Jul 2014 01:38:44 +0200
>>> From: Manoj Kumar <[email protected]>
>>> Subject: [Scikit-learn-general] [GSoC] - Logistic Regression CV
>>> To: [email protected]
>>> Message-ID:
>>> <
>>> cafqad-nkckkapj8r8gez37pjd35ghwkwah_bd7s-avuhrfp...@mail.gmail.com>
>>> Content-Type: text/plain; charset="utf-8"
>>>
>>> Hi, A update on the new Logistic Regression CV model in scikit-learn
>>>
>>>
>>> http://manojbits.wordpress.com/2014/07/28/scikit-learn-logistic-regression-cv-2/
>>>
>>>
>>> --
>>> Regards,
>>> Manoj Kumar,
>>> GSoC 2014, Scikit-learn
>>> Mech Undergrad
>>> http://manojbits.wordpress.com
>>> -------------- next part --------------
>>> An HTML attachment was scrubbed...
>>>
>>> ------------------------------
>>>
>>> Message: 3
>>> Date: Mon, 28 Jul 2014 20:02:56 -0400
>>> From: umang patel <[email protected]>
>>> Subject: Re: [Scikit-learn-general] RBK Kernel - Query
>>> To: [email protected]
>>> Message-ID:
>>> <
>>> camgx1excdd36fbnhxm_vmjry6adccnaesc3zpnxs5ojwn36...@mail.gmail.com>
>>> Content-Type: text/plain; charset="utf-8"
>>>
>>> Hi Andy ,
>>>
>>> I nvr got answer . Could you please re- answer if possible . I will
>>> really
>>> appraciate it .
>>>
>>> Thank you.
>>>
>>>
>>>
>>> On Mon, Jul 28, 2014 at 2:53 PM, Andy <[email protected]> wrote:
>>>
>>> > Please do not repost.
>>> > You got an answer on the issue if I recall correctly.
>>> > If you want to know more, pick up a textbook on machine learning, such
>>> as
>>> > ESL (free pdf:
>>> >
>>> http://web.stanford.edu/~hastie/local.ftp/Springer/OLD/ESLII_print4.pdf
>>> ),
>>> > Kevin Murpy's book or the Bishop.
>>> >
>>> >
>>> > On 07/27/2014 08:22 PM, umang patel wrote:
>>> >
>>> > Hello all ,
>>> >
>>> > I asked the following question on "Issues" and I was advised to mail
>>> on
>>> > the following email id I i have furthur queries .
>>> >
>>> > "
>>> > Is it possible to get weight of features in rbf kernel .
>>> >
>>> > It is written under coeff_ that it is possible only with linear kernel
>>> .
>>> > Is it mathematically possible to get for rfb kernel , if yes then how ?
>>> > "
>>> >
>>> >
>>> > Could and one please direct me to relevant paper or please explain
>>> why it
>>> > is not possible to get coeff_ for rbf kernel .
>>> >
>>> > Thank you.
>>> >
>>> >
>>> > On Wed, Jul 23, 2014 at 8:33 AM, umang patel <[email protected]>
>>> > wrote:
>>> >
>>> >> Hello all ,
>>> >>
>>> >> I asked the following question on "Issues" and I was advised to
>>> mail on
>>> >> the following email id I i have furthur queries .
>>> >>
>>> >> "
>>> >> Is it possible to get weight of features in rbf kernel .
>>> >>
>>> >> It is written under coeff_ that it is possible only with linear
>>> kernel .
>>> >> Is it mathematically possible to get for rfb kernel , if yes then how
>>> ?
>>> >> "
>>> >>
>>> >>
>>> >> Could and one please direct me to relevant paper or please explain
>>> why
>>> >> it is not possible to get coeff_ for rbf kernel .
>>> >>
>>> >> Thank you.
>>> >>
>>> >
>>> >
>>> >
>>> >
>>> ------------------------------------------------------------------------------
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>>> >
>>> >
>>> > _______________________________________________
>>> > Scikit-learn-general mailing listScikit-learn-general
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>>> >
>>> >
>>> >
>>> >
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>>>
>>> End of Scikit-learn-general Digest, Vol 54, Issue 67
>>> ****************************************************
>>>
>>
>>
>>
>> ------------------------------------------------------------------------------
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>>
>
>
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>
>
--
Regards,
Manoj Kumar,
GSoC 2014, Scikit-learn
Mech Undergrad
http://manojbits.wordpress.com
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Reboot your WinForms applications with our WinForms controls.
Build a bridge from your legacy apps to the future.
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