@ogrisel , I'd be happy to lend a hand with this. Just say yay and I'll get
it going :)
2013/3/20 Andreas Mueller
> Olivier wrote it and is planning to merge it.
> I think he wouldn't resist if any one gave him a hand ;)
>
> I think it is quite urgent as this keeps getting up on the ml/irc/so
>
Olivier wrote it and is planning to merge it.
I think he wouldn't resist if any one gave him a hand ;)
I think it is quite urgent as this keeps getting up on the ml/irc/so
Cheers,
Andy
--
Everyone hates slow websites. So
2013/3/20 Jaques Grobler
> Definitely - who made that tut originally? Would be a good addition to the
> tutorial section.
>
We did, or rather, the other guys; I was lured into the project by this
tutorial, which was quite good when it was up to data.
> Else we could just update it and then lin
Actually, I think the last update just missed the line at the bottom of the
page about version 0.9..
There's a note by the index saying
Note
This document is meant to be used with *scikit-learn version 0.11+* (i.e.
the current state of the master branch at the time of writing: 2012-02-13).
So i
Definitely - who made that tut originally? Would be a good addition to the
tutorial section.
Else we could just update it and then link to it from the tutorial section
like with Jake's AstroML tutorial..
2013/3/20 Lars Buitinck
> 2013/3/20 Jaques Grobler
>
>> same thought as Lars.. also, that
2013/3/20 Jaques Grobler
> same thought as Lars.. also, that tutorial mentions at the bottom that
> it's for scikit-learn 0.9
>
We should update that (or actually, we should merge the tutorial into the
mainline docs...)
--
Lars Buitinck
Scientific programmer, ILPS
University of Amsterdam
-
same thought as Lars.. also, that tutorial mentions at the bottom that it's
for scikit-learn 0.9
2013/3/20 Lars Buitinck
> 2013/3/19 Zvika Marx
>
>> /usr/lib/pymodules/python2.7/sklearn/linear_model/stochastic_gradient.pycin
>> _fit_multiclass(self, X, y, sample_weight) 162 strategy is called
2013/3/19 Zvika Marx
> /usr/lib/pymodules/python2.7/sklearn/linear_model/stochastic_gradient.pycin
> _fit_multiclass(self, X, y, sample_weight) 162 strategy is called OVA:One
> Versus All
> . 163 """ --> 164 X = np.asarray(X, dtype=np.float64, order='C') 165 166 #
> Use joblib to run OVA in par
Hi
I am trying to run through
scikit-learn.github.com/scikit-learn-tutorial/working_with_text_data.html
as is.
Calls to SGDClassifier(...).fit(...), either within the pipe or directly,
invoke
"ValueError: setting an array element with a sequence."
Thanks much (great tool!!!)
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