Okay, git project for metric learning created at:
https://github.com/johncollins/metric-learn
On Wed, May 15, 2013 at 6:56 AM, <
scikit-learn-general-requ...@lists.sourceforge.net> wrote:
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> Today's Topics:
>
> 1. Re: Macro and micro weighting in performance metrics
> (Gael Varoquaux)
> 2. Metric Learning Algorithms (John Collins)
> 3. Re: Metric Learning Algorithms (Robert McGibbon)
> 4. Matching Pursuit Toolkit (MPTK) 0.7 released (Dan Stowell)
> 5. Re: Macro and micro weighting in performance metrics
> (Pavel Soriano)
> 6. Re: Metric Learning Algorithms (Jaques Grobler)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Tue, 14 May 2013 23:10:02 +0200
> From: Gael Varoquaux <gael.varoqu...@normalesup.org>
> Subject: Re: [Scikit-learn-general] Macro and micro weighting in
> performance metrics
> To: scikit-learn-general@lists.sourceforge.net
> Message-ID: <20130514211002.gb20...@phare.normalesup.org>
> Content-Type: text/plain; charset=us-ascii
>
> > So as it says, giving 'pos_label' explicitly solves the issue. I will
> > now check the code more thoroughly to understand why the default value
> > for pos_label (which is 1) cannot be used while calculating averages in
> > a binary classification.
>
> Excellent. Keep us posted!
>
>
>
> ------------------------------
>
> Message: 2
> Date: Tue, 14 May 2013 22:27:39 -0700
> From: John Collins <johnsso...@gmail.com>
> Subject: [Scikit-learn-general] Metric Learning Algorithms
> To: scikit-learn-general@lists.sourceforge.net
> Message-ID:
> <CAA7aAKw7UUz93=MTR4U8-Q9CmqFt4FgfP7vKo5j3nbqc9io=
> 5...@mail.gmail.com>
> Content-Type: text/plain; charset="iso-8859-1"
>
> Hi there,
>
> A few weeks ago I posted about this. I have been finishing my thesis and
> working concurrently and have had no free time but now I have some to
> commit to this. At that point Kenneth C. Arnold and Robert McGibbon
> mentioned they were also interested. I've done a bit of translation of a
> piece of matlab code (for itml) into python. Right now it's ugly because it
> looks too much like matlab but I'm going to work on pythonizing it. If you
> all or anyone else is still interested I'm going to get going on this a bit
> soon.
>
> - John
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> ------------------------------
>
> Message: 3
> Date: Tue, 14 May 2013 22:58:29 -0700
> From: Robert McGibbon <rmcgi...@gmail.com>
> Subject: Re: [Scikit-learn-general] Metric Learning Algorithms
> To: scikit-learn-general@lists.sourceforge.net
> Message-ID: <3f897f2f-2a17-4299-b165-0922141fb...@gmail.com>
> Content-Type: text/plain; charset="iso-8859-1"
>
> John,
>
> What's the best way to work on a collaborative project like this? I've
> never tried working on a PR w/ multiple authors in git. Do you want to set
> up a new github project for this during development?
>
> -Robert
>
>
> On May 14, 2013, at 10:27 PM, John Collins wrote:
>
> > Hi there,
> >
> > A few weeks ago I posted about this. I have been finishing my thesis and
> working concurrently and have had no free time but now I have some to
> commit to this. At that point Kenneth C. Arnold and Robert McGibbon
> mentioned they were also interested. I've done a bit of translation of a
> piece of matlab code (for itml) into python. Right now it's ugly because it
> looks too much like matlab but I'm going to work on pythonizing it. If you
> all or anyone else is still interested I'm going to get going on this a bit
> soon.
> >
> > - John
> >
> ------------------------------------------------------------------------------
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> ------------------------------
>
> Message: 4
> Date: Wed, 15 May 2013 09:35:59 +0100
> From: Dan Stowell <dan.stow...@eecs.qmul.ac.uk>
> Subject: [Scikit-learn-general] Matching Pursuit Toolkit (MPTK) 0.7
> released
> To: SciPy Users List <scipy-u...@scipy.org>,
> scikit-learn-general@lists.sourceforge.net
> Message-ID: <519348ef.4080...@eecs.qmul.ac.uk>
> Content-Type: text/plain; charset=ISO-8859-1; format=flowed
>
> Dear all,
>
> Matching Pursuit Toolkit (MPTK) is a fast and efficient library for the
> sparse decomposition of multichannel audio signals. Version 0.7 is now
> officially released:
>
> https://gforge.inria.fr/frs/?group_id=36
>
> New in this version is a Python wrapper, so you can
> decompose/reconstruct signals directly from within Python.
>
> Best
> Dan
>
> --
> Dan Stowell
> Postdoctoral Research Assistant
> Centre for Digital Music
> Queen Mary, University of London
> Mile End Road, London E1 4NS
> http://www.elec.qmul.ac.uk/digitalmusic/people/dans.htm
> http://www.mcld.co.uk/
>
>
>
> ------------------------------
>
> Message: 5
> Date: Wed, 15 May 2013 11:48:55 +0200
> From: Pavel Soriano <sorianopa...@gmail.com>
> Subject: Re: [Scikit-learn-general] Macro and micro weighting in
> performance metrics
> To: "scikit-learn-general@lists.sourceforge.net"
> <scikit-learn-general@lists.sourceforge.net>
> Message-ID:
> <
> can0wwk8h_yz2oqghlhcflthm8kfzvaozmr-+w2dhkyqchfi...@mail.gmail.com>
> Content-Type: text/plain; charset="iso-8859-1"
>
> Ok, so in order to get an averaging (in a binary classification), one must
> give `pos_label = None`, like this:
>
> metrics.f1_score(y_true, y_predicted, average='macro', pos_label=None)
>
> This is not very clear in the comments.
>
> In any case, it maybe coding/organizing style, because I would rather do:
>
> metrics.f1_score(y_true, y_predicted, average='macro')
>
> and because it is averaging, it doesn't matter which value `pos_label` has,
> so the default value (1) is ok.
>
> Although `pos_label` is indeed used to distinguish between getting the
> metrics results specifically for a given class or getting the average
> values.
>
> In conclusion, it is clear for me now.
> Thanks!
>
>
>
>
> On Tue, May 14, 2013 at 11:10 PM, Gael Varoquaux <
> gael.varoqu...@normalesup.org> wrote:
>
> > > So as it says, giving 'pos_label' explicitly solves the issue. I will
> > > now check the code more thoroughly to understand why the default value
> > > for pos_label (which is 1) cannot be used while calculating averages in
> > > a binary classification.
> >
> > Excellent. Keep us posted!
> >
> >
> >
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> > security visibility with the essential security capabilities. Easily and
> > efficiently configure, manage, and operate all of your security controls
> > from a single console and one unified framework. Download a free trial.
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> ------------------------------
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> Message: 6
> Date: Wed, 15 May 2013 15:56:37 +0200
> From: Jaques Grobler <jaquesgrob...@gmail.com>
> Subject: Re: [Scikit-learn-general] Metric Learning Algorithms
> To: Scikit-Learn Mailing List
> <scikit-learn-general@lists.sourceforge.net>
> Message-ID:
> <CAHcSORk5so7Ny_eOu4KgSC8ZLxw2pit5LXD=xV0qTL3cbW=
> v...@mail.gmail.com>
> Content-Type: text/plain; charset="iso-8859-1"
>
> Perhaps a separate github project might be easiest.. Less headachey than
> doing it with one branch and others PR-ing to it. At least that was the
> case when I tried.
>
>
> 2013/5/15 Robert McGibbon <rmcgi...@gmail.com>
>
> > John,
> >
> > What's the best way to work on a collaborative project like this? I've
> > never tried working on a PR w/ multiple authors in git. Do you want to
> set
> > up a new github project for this during development?
> >
> > -Robert
> >
> >
> > On May 14, 2013, at 10:27 PM, John Collins wrote:
> >
> > Hi there,
> >
> > A few weeks ago I posted about this. I have been finishing my thesis and
> > working concurrently and have had no free time but now I have some to
> > commit to this. At that point Kenneth C. Arnold and Robert McGibbon
> > mentioned they were also interested. I've done a bit of translation of a
> > piece of matlab code (for itml) into python. Right now it's ugly because
> it
> > looks too much like matlab but I'm going to work on pythonizing it. If
> you
> > all or anyone else is still interested I'm going to get going on this a
> bit
> > soon.
> >
> > - John
> >
> >
> ------------------------------------------------------------------------------
> > AlienVault Unified Security Management (USM) platform delivers complete
> > security visibility with the essential security capabilities. Easily and
> > efficiently configure, manage, and operate all of your security controls
> > from a single console and one unified framework. Download a free trial.
> >
> >
> http://p.sf.net/sfu/alienvault_d2d_______________________________________________
> > Scikit-learn-general mailing list
> > Scikit-learn-general@lists.sourceforge.net
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> >
> >
> >
> >
> >
> ------------------------------------------------------------------------------
> > AlienVault Unified Security Management (USM) platform delivers complete
> > security visibility with the essential security capabilities. Easily and
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