have you seen the coursera thing already? it gives code I believe. not in a
tool kit, but ~~ easy enough to implement I believe
On Sun, Jan 20, 2013 at 1:06 AM, <[email protected]> wrote:
> Hi All,
>
> Yes, apologies, Probabilistic Graphical Models. They do indeed cover a
> wide swath of topics, used in everything from controlling machines,
> predicting crop yields, and modeling gene expression, to name a few. I've
> been reading Koller and Friedman's PGM bible, and while it satisfies my
> intellectual curiosity it does little in helping me code up an example
> (that can generalize), due to the many loopholes etc.
>
> Since I only code in Python (and Mathematica) i'd like to keep working in
> python. I am after a relatively simple PGM, the only issue is that a given
> random variables has millions of states. Most PGM i look at have at most 4
> states per node..not sure how to make such a thing performant.
>
> I'll keep you posted as this progresses, many thanks for your time,
>
> Best Wishes,
>
> Alex
>
>
> On Sat, Jan 19, 2013 at 6:04 AM, <
> [email protected]> wrote:
>
>> Send Scikit-learn-general mailing list submissions to
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>>
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>> Today's Topics:
>>
>> 1. Re: Roadmap / Scope (Lars Buitinck)
>> 2. Re: PGM (Gael Varoquaux)
>> 3. Re: INRIA teams using scikit-learn (Gael Varoquaux)
>> 4. Re: PGM (xinfan meng)
>> 5. Re: PGM (Ronnie Ghose)
>> 6. Re: PGM (Andreas Mueller)
>>
>>
>> ----------------------------------------------------------------------
>>
>> Message: 1
>> Date: Sat, 19 Jan 2013 08:56:49 +0100
>> From: Lars Buitinck <[email protected]>
>> Subject: Re: [Scikit-learn-general] Roadmap / Scope
>> To: [email protected]
>> Message-ID:
>> <CAKz-xUd=
>> [email protected]>
>> Content-Type: text/plain; charset=UTF-8
>>
>> 2013/1/18 Jaques Grobler <[email protected]>:
>> > Regarding the banner, the first screenshot I posted is actually a fixed
>> one
>> > that scrolls along with the page. I like the idea of it being less
>> > disco-intense but catches your eye as you scroll
>>
>> Ok. In that case, +1 for the orange banner, it fits in with the rest
>> of the page.
>>
>> --
>> Lars Buitinck
>> Scientific programmer, ILPS
>> University of Amsterdam
>>
>>
>>
>> ------------------------------
>>
>> Message: 2
>> Date: Sat, 19 Jan 2013 13:00:01 +0100
>> From: Gael Varoquaux <[email protected]>
>> Subject: Re: [Scikit-learn-general] PGM
>> To: [email protected]
>> Message-ID: <[email protected]>
>> Content-Type: text/plain; charset=us-ascii
>>
>> On Fri, Jan 18, 2013 at 02:52:06PM -0800, [email protected]:
>> > I wonder if sklearn has a PGM in the works?
>>
>> I have no clue what PGM is.
>>
>> Gael
>>
>>
>>
>> ------------------------------
>>
>> Message: 3
>> Date: Sat, 19 Jan 2013 13:02:55 +0100
>> From: Gael Varoquaux <[email protected]>
>> Subject: Re: [Scikit-learn-general] INRIA teams using scikit-learn
>> To: [email protected]
>> Message-ID: <[email protected]>
>> Content-Type: text/plain; charset=iso-8859-1
>>
>> Hi Charles-Pierre,
>>
>> Thanks a lot for letting me know. I won't add Classic to the list if
>> nobody is using the scikit anymore, but its good to know. Cheers,
>>
>> Ga?l
>>
>> On Thu, Jan 17, 2013 at 07:00:48PM +0100, Charles-Pierre Astolfi wrote:
>> > Hi Gael!
>>
>> > I used to work (6 months internship) with Gilles Stoltz from the
>> > CLASSIC team, but I was the only one using scikit-learn.
>>
>> > Cheers
>> --
>> Gael Varoquaux
>> Researcher, INRIA Parietal
>> Laboratoire de Neuro-Imagerie Assistee par Ordinateur
>> NeuroSpin/CEA Saclay , Bat 145, 91191 Gif-sur-Yvette France
>> Phone: ++ 33-1-69-08-79-68
>> http://gael-varoquaux.info
>> http://twitter.com/GaelVaroquaux
>>
>>
>>
>> ------------------------------
>>
>> Message: 4
>> Date: Sat, 19 Jan 2013 20:05:45 +0800
>> From: xinfan meng <[email protected]>
>> Subject: Re: [Scikit-learn-general] PGM
>> To: scikit-learn-general <[email protected]>
>> Message-ID:
>> <
>> cahvku2zkxgr24u4jcwfwe39r9brtjn61fvwztev8mn1hcvn...@mail.gmail.com>
>> Content-Type: text/plain; charset="utf-8"
>>
>> Probabilistic Graphical Model, I guess.
>>
>>
>> On Sat, Jan 19, 2013 at 8:00 PM, Gael Varoquaux <
>> [email protected]> wrote:
>>
>> > On Fri, Jan 18, 2013 at 02:52:06PM -0800,
>> [email protected]:
>> > > I wonder if sklearn has a PGM in the works?
>> >
>> > I have no clue what PGM is.
>> >
>> > Gael
>> >
>> >
>> >
>> ------------------------------------------------------------------------------
>> > Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, CSS,
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>> > Scikit-learn-general mailing list
>> > [email protected]
>> > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>> >
>>
>>
>>
>> --
>> Best Wishes
>> --------------------------------------------
>> Meng Xinfan?????
>> Institute of Computational Linguistics
>> Department of Computer Science & Technology
>> School of Electronic Engineering & Computer Science
>> Peking University
>> Beijing, 100871
>> China
>> -------------- next part --------------
>> An HTML attachment was scrubbed...
>>
>> ------------------------------
>>
>> Message: 5
>> Date: Sat, 19 Jan 2013 08:15:07 -0500
>> From: Ronnie Ghose <[email protected]>
>> Subject: Re: [Scikit-learn-general] PGM
>> To: [email protected]
>> Message-ID:
>> <CAHazPTnycvCFMzRv-8J20L+KSN--0YzN=
>> [email protected]>
>> Content-Type: text/plain; charset="utf-8"
>>
>> funny he would refer to sklearn for this, look what I found previously:
>> http://bb10.com/python-scikit-learn/2012-03/msg00152.html
>>
>>
>> On Sat, Jan 19, 2013 at 7:05 AM, xinfan meng <[email protected]> wrote:
>>
>> > Probabilistic Graphical Model, I guess.
>> >
>> >
>> > On Sat, Jan 19, 2013 at 8:00 PM, Gael Varoquaux <
>> > [email protected]> wrote:
>> >
>> >> On Fri, Jan 18, 2013 at 02:52:06PM -0800,
>> [email protected]:
>> >> > I wonder if sklearn has a PGM in the works?
>> >>
>> >> I have no clue what PGM is.
>> >>
>> >> Gael
>> >>
>> >>
>> >>
>> ------------------------------------------------------------------------------
>> >> Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, CSS,
>> >> MVC, Windows 8 Apps, JavaScript and much more. Keep your skills current
>> >> with LearnDevNow - 3,200 step-by-step video tutorials by Microsoft
>> >> MVPs and experts. SALE $99.99 this month only -- learn more at:
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>> >> Scikit-learn-general mailing list
>> >> [email protected]
>> >> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>> >>
>> >
>> >
>> >
>> > --
>> > Best Wishes
>> > --------------------------------------------
>> > Meng Xinfan?????
>> > Institute of Computational Linguistics
>> > Department of Computer Science & Technology
>> > School of Electronic Engineering & Computer Science
>> > Peking University
>> > Beijing, 100871
>> > China
>> >
>> >
>> >
>> ------------------------------------------------------------------------------
>> > Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, CSS,
>> > MVC, Windows 8 Apps, JavaScript and much more. Keep your skills current
>> > with LearnDevNow - 3,200 step-by-step video tutorials by Microsoft
>> > MVPs and experts. SALE $99.99 this month only -- learn more at:
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>> ------------------------------
>>
>> Message: 6
>> Date: Sat, 19 Jan 2013 15:03:21 +0100
>> From: Andreas Mueller <[email protected]>
>> Subject: Re: [Scikit-learn-general] PGM
>> To: [email protected]
>> Message-ID: <[email protected]>
>> Content-Type: text/plain; charset="iso-8859-1"
>>
>> Hey Alex.
>> PGM are a very wide field and we won't implement any kind of general
>> framework any
>> time soon. There are packages like PyMC that Ronnie mentioned out there
>> for general modelling.
>> There are also packages for Bayes nets and all kind of different things.
>> What are you after in particular?
>>
>> Cheer,
>> Andy
>>
>>
>> On 01/18/2013 11:52 PM, [email protected] wrote:
>> > Dear Scikit-learn team,
>> >
>> > First, you guys have built an amazing set of ML tools. I am constantly
>> > impressed by your feedback to the mailing list.
>> >
>> > I wonder if sklearn has a PGM in the works? I've been trying to
>> > understand how to code one up, do you have any suggestions where I
>> > could look for a python example?
>> >
>> > My very best wishes,
>> >
>> > Alex
>> >
>> >
>> >
>> ------------------------------------------------------------------------------
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>> MVPs and experts. SALE $99.99 this month only -- learn more at:
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>> End of Scikit-learn-general Digest, Vol 36, Issue 56
>> ****************************************************
>>
>
>
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