[pymvpa] LinearSVM Classification Warning

[Geethmala]

Yes, but what is interesting is why is it not showing the warning for other
labels? Why only 3?

Thanks,
Geethmala

On Tue, Feb 2, 2010 at 2:19 PM, Matthias Ekman <Matthias.Ekman at nf.mpg.de>wrote:

> Hi,
>
> i assume you already tracked the problem, right? ;-) ... since there a
> no samples (of class 3) in chunk, 0, 4, 5... exactly what
>
> >>>>  Classifier LinearCSVMC(kernel_type='linear', svm_impl='C_SVC')
> >>>>  wasn't trained to classify labels Set([3.0]) present in testing
> >>>>  dataset. Make sure that you have not mixed order/names of the
> >>>>  arguments anywhere
>
> says.
>
> cheers,
>  Matthias
>
> Geethmala wrote:
> > Here you go,
> >
> > Dataset / float32 153 x 40656
> > uniq: 8 chunks 5 labels
> > stats: mean=-0.0255406 std=0.994264 var=0.98856 min=-6.94855 max=6.71638
> >
> > Counts of labels in each chunk:
> >   chunks\labels 1.0 2.0 3.0 4.0 5.0
> >                 --- --- --- --- ---
> >       0.0        3   6   0   9   6
> >       1.0        3   0   6   3   6
> >       2.0        3   6   3   3   3
> >       3.0        0   6   9   0   6
> >       4.0        6   0   0   3   3
> >       5.0        6   3   0   9   0
> >       6.0        6   6   3   6   0
> >       7.0        3   3   9   0   6
> >
> > Summary per label across chunks
> >   label mean  std min max #chunks
> >    1    3.75 1.98  0   6     7
> >    2    3.75 2.49  0   6     6
> >    3    3.75  3.6  0   9     5
> >    4    4.12 3.33  0   9     6
> >    5    3.75 2.49  0   6     6
> >
> > Summary per chunk across labels
> >   chunk mean  std min max #labels
> >    0     4.8 3.06  0   9     4
> >    1     3.6 2.24  0   6     4
> >    2     3.6  1.2  3   6     5
> >    3     4.2  3.6  0   9     3
> >    4     2.4 2.24  0   6     3
> >    5     3.6  3.5  0   9     3
> >    6     4.2  2.4  0   6     4
> >    7     4.2 3.06  0   9     4
> >
> >
> > Thanks,
> > Geethmala
> >
> > On Tue, Feb 2, 2010 at 2:11 PM, Matthias Ekman <Matthias.Ekman at nf.mpg.de
> >wrote:
> >
> >> Hi,
> >>
> >> could you please post:
> >> print ds.summary()
> >>
> >> .. just to make sure, that there are samples belonging to class 3 :)
> >>
> >>
> >> Matthias
> >>
> >> Geethmala wrote:
> >>> No, I don't have a mix of them. They are all integer values.
> >>>
> >>> Thanks,
> >>> Geethmala
> >>>
> >>> On Tue, Feb 2, 2010 at 1:59 PM, Yaroslav Halchenko <
> >> debian at onerussian.com>wrote:
> >>>> it means that
> >>>>
> >>>>  Classifier LinearCSVMC(kernel_type='linear', svm_impl='C_SVC')
> >>>>  wasn't trained to classify labels Set([3.0]) present in testing
> >>>>  dataset. Make sure that you have not mixed order/names of the
> >>>>  arguments anywhere
> >>>>
> >>>> Also test if you don't have a mix of float and int labels in your
> >>>> datasets (as I remember you are manually composing those).
> >>>>
> >>>>
> >>>> On Tue, 02 Feb 2010, Geethmala wrote:
> >>>>
> >>>>>    Hi,
> >>>>>    I get the following warning when I run LinearCSVMC.
> >>>>>    WARNING: Classifier LinearCSVMC(kernel_type='linear',
> >>>> svm_impl='C_SVC')
> >>>>>    wasn't trained to classify labels Set([3.0]) present in testing
> >>>>>    dataset. Make sure that you have not mixed order/names of the
> >>>> arguments
> >>>>>    anywhere
> >>>>>    What does this warning mean?
> >>>>>    Thanks,
> >>>>>    Geethmala
> >>>>> _______________________________________________
> >>>>> Pkg-ExpPsy-PyMVPA mailing list
> >>>>> Pkg-ExpPsy-PyMVPA at lists.alioth.debian.org
> >>>>> http://lists.alioth.debian.org/mailman/listinfo/pkg-exppsy-pymvpa
> >>>> --
> >>>>                                  .-.
> >>>> =------------------------------   /v\  ----------------------------=
> >>>> Keep in touch                    // \\     (yoh@|www.)onerussian.com
> >>>> Yaroslav Halchenko              /(   )\               ICQ#: 60653192
> >>>>                   Linux User    ^^-^^    [175555]
> >>>>
> >>>>
> >>>>
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> >>>
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