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
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
piec
> 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!
On 05/14/2013 04:52 PM, Gael Varoquaux wrote:
> On Tue, May 14, 2013 at 06:54:32AM +1000, Joel Nothman wrote:
>> Should the new SelectorMixin be part of the public API?
> I don't think so.
>
None of the Mixins is.
--
Alien
I was checking the blame for the file, and I found that the current file in
github has an explanation for this:
average : string, [None (default), 'micro', 'macro', 'weighted']
If ``None``, the scores for each class are returned. Otherwise,
unless ``pos_label`` is given in binary classification,
On Mon, May 13, 2013 at 10:41:31PM +, Pavel Soriano wrote:
> In Manning's Introduction to Information Retrieval (pg. 260) they show
> it is possible to obtain it.(In fact I modified this line, in metrics.py, and
> the value was indeed returned, after a macro averaging.)
> I guess I am missing
On Tue, May 14, 2013 at 06:54:32AM +1000, Joel Nothman wrote:
> Should the new SelectorMixin be part of the public API?
I don't think so.
G
--
AlienVault Unified Security Management (USM) platform delivers complete
secur
I am currently assessing the performance of a logit classifier, and I
wonder why is the “average” option, for the F-score metric, is not taken
into account when using a binary classifier. I am talking about line 1091
of metrics.py (sklearn.metrics):
elif n_labels == 2 and pos_label is not None:
Hi Evan,
Did looking at RidgeCVInstance.alpha_ solve this for you?
Regads,
Jaques
2013/5/13 Tadej Janež
> Hi Evan,
>
> On Wed, 2013-05-08 at 14:03 -0400, Evan Molinelli wrote:
>
> > At the end of the day it seems to work and can retrieve the list of
> > feature weights. HOWEVER, i am unable t
Added to my todo-list ;)
2013/5/13 Alexandre Gramfort
> PR welcome on this. I think Jaques you have it ready.
>
> Best,
> Alex
>
> On Tue, May 7, 2013 at 11:42 AM, Jaques Grobler
> wrote:
> >
> >
> >>
> >> 2013/5/7 James D Jensen
> >> Thanks. You mentioned that I could "[add] positive to Lass
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