Hi,
Are we still planning on an early April release for v0.19? Could we start
marking "blockers"?
On Tue, Feb 21, 2017 at 5:31 PM, Andreas Mueller wrote:
>
>
> On 02/07/2017 09:00 PM, Joel Nothman wrote:
>
> On 12 January 2017 at 08:51, Gael Varoquaux > wrote:
>
>> On Thu, Jan 12, 2017 at 08
Hi all,
Do we want Median Absolute Percentage Error in scikit-learn?
Ref: KDD2017 -
https://tianchi.shuju.aliyun.com/competition/information.htm?spm=5176.100067.5678.2.8CnCPt&raceId=231597
Thanks
--
Raghav RV
https://github.com/raghavrv
___
scikit-le
Or simply a public gist and importantly the link mailed here would do I
think...
On 27 Feb 2017 8:28 p.m., "Raghav R V" wrote:
> They can still edit a wiki page from their fork of scikit learn I think.
> So I'd suggest doing that and mailing to this thread, the lin
They can still edit a wiki page from their fork of scikit learn I think. So
I'd suggest doing that and mailing to this thread, the link to their
proposal...
On 27 Feb 2017 6:55 p.m., "Nelson Liu" wrote:
> In past years students made a page on the wiki with their proposal; this
> isn't possible a
I think it would be nice to have 0.19 by April. We'd have 3 more months and
we can frame some roadmap towards it?
On Mon, Jan 9, 2017 at 3:43 PM, Olivier Grisel
wrote:
> In retrospect, making a small 0.19 release is probably a good idea.
>
> I would like to get
> https://github.com/scikit-learn/
(So we can get back to the one release per 4 month cycle?)
On Mon, Jan 9, 2017 at 4:06 PM, Raghav R V wrote:
> I think it would be nice to have 0.19 by April. We'd have 3 more months
> and we can frame some roadmap towards it?
>
> On Mon, Jan 9, 2017 at 3:43 PM, Olivier Grisel
+1 for self assigning PRs by reviewers...
On Tue, Dec 6, 2016 at 4:19 PM, Andy wrote:
> Thanks for your thoughts.
> I'm working in a similar mode, though I kind of try to avoid too much
> last-in first-out - I do it too, though,
> because I'm trying to keep up with all notifications.
> However,
Ah yes sorry LeaveOneGroupOut indeed!
Also refer this example for nested cv -
http://scikit-learn.org/stable/auto_examples/model_selection/plot_nested_cross_validation_iris.html
Thx!
On Mon, Dec 5, 2016 at 2:51 PM, Andy wrote:
>
>
> On 12/04/2016 04:27 PM, Raghav R V wrote:
>
>
Hi!
It looks like you are using the old `sklearn.cross_validation`'s
LeaveOneLabelOut cross-validator. It has been deprecated since v0.18.
Use the `LeaveOneLabelOut` from `sklearn.model_selection`, that should fix
your issue I think (thought I have not looked into your code in detail).
HTH!
On
>
> Okay so in the project, instead of sorting them by Issues / PR why don't
>>> we make one column per priority. Let's have 3 levels and one column for
>>> Done. We have a label for "Stalled" / "Need Contributor" which shows up in
>>> the cards of the project anyway...
>>>
>>> As I didn't want to
We could start with assigning priority labels like they use in numpy...
That + milestones could help us prioritize?
On Sat, Dec 3, 2016 at 11:52 AM, Gael Varoquaux <
gael.varoqu...@normalesup.org> wrote:
> On Fri, Dec 02, 2016 at 07:52:09PM -0500, Andy wrote:
> > So did we ever decide on how to p
not correct.
>
Oops sorry. Ah I ran into that, corrected it in the snipped but forgot to
update the line before the snippet... :)
> Should be
>
>
> [{'learning_rate': ['constant', 'invscaling', 'adaptive'], 'solver':
> ['sgd
Hi,
If you keep everything at their default values, it seems to work -
```py
from sklearn.neural_network import MLPClassifier
X = [[0, 0], [0, 1], [1, 0], [1, 1]]
y = [0, 1, 1, 0]
clf = MLPClassifier(max_iter=1000)
clf.fit(X, y)
res = clf.predict([[0, 0], [0, 1], [1, 0], [1, 1]])
print(res)
```
Hi!
What you could do is specify lists of dicts to group the parameters which
apply together in one dict...
[{'learning_rate': ['constant', 'invscaling', 'adaptive'], 'solver':
'sgd'}, {'solver': 'adam'}]
```py
from sklearn.neural_network import MLPClassifier
from sklearn.model_selection import
Hurray :D
Thanks heaps Andy, Joel and the whole team!
On Mon, Nov 14, 2016 at 6:29 PM, Gael Varoquaux <
gael.varoqu...@normalesup.org> wrote:
> Thank you so much Andy and the others that made this .1 release possible.
> It brings huge value in ensuring quality.
>
> Gaël
>
> On Sun, Nov 13, 2016
Hi,
The reference paper seems pretty new with very few citations. Check our FAQ
on inclusion criterion -
http://scikit-learn.org/stable/faq.html#what-are-the-inclusion-criteria-for-new-algorithms
On Mon, Nov 7, 2016 at 2:10 PM, Dale T Smith wrote:
> Searching the mailing list would be the best
>> Hello,
>>
>> I personnally don't think it is useful and it clutters the UI with
>> information.
>> I am actually trying to reduce matplotlib's number of labels right
>> now, as we have so many that they are useless.
>>
>> Cheers,
>> N
>
Hi all,
Should we have module level labels?
"mod: tree"
"mod: model_selection"
"mod: linear_models"
"mod: ..."
I know it will blow up our label count, but I think it will help filter
issues / PRs to review.
Sometimes I like to look into issues / PRs that concern my two fav. modules
"model_selec
On Fri, Oct 14, 2016 at 3:27 PM, Anaël Bonneton
wrote:
> Hi,
>
> In the silhouette example (http://scikit-learn.org/
> stable/auto_examples/cluster/plot_kmeans_silhouette_
> analysis.html#sphx-glr-auto-examples-cluster-plot-kmeans-
> silhouette-analysis-py), the silhouette values of each sample i
Hi Stuart Reynold,
Like Jacob said we have an active PR at
https://github.com/scikit-learn/scikit-learn/pull/5974
You could do
git fetch https://github.com/raghavrv/scikit-learn.git
missing_values_rf:missing_values_rf
git checkout missing_values_rf
python setup.py install
And try it out. I warn
Hi Brown,
Thanks for the email. There is a working PR here at
https://github.com/scikit-learn/scikit-learn/pull/7388
Would you be kind to take a look at it and comment how helpful the proposed
API is for your use case?
Thanks
On Mon, Oct 3, 2016 at 6:05 AM, Brown J.B.
wrote:
> Hello communit
Thanks everyone! Looking forward to contributing more :D
On Mon, Oct 3, 2016 at 5:40 PM, Ronnie Ghose wrote:
> congrats! :)
>
> On Mon, Oct 3, 2016 at 11:28 AM, lin yenchen
> wrote:
>
>> Congrats, Raghav!
>>
>> Nelson Liu 於 2016年10月3日 週一 下午11:27寫道：
>>
>>> Yay! Congrats, Raghav!
>>>
>>> On Mon,
Congrats everyone :)
On 29 Sep 2016 9:41 a.m., "Jaques Grobler" wrote:
> Congrats everyone!
>
> 2016-09-29 8:39 GMT+02:00 bthirion :
>
>> Congrats !
>>
>> Bertrand
>>
>>
>> On 29/09/2016 07:28, Gael Varoquaux wrote:
>>
>>> Hurray!
>>>
>>> Congratulations to everybody, and in particular the relea
Awesome! Thanks for the amazing job! :)
On 15 Sep 2016 4:19 a.m., "Andy" wrote:
>
>
> On 09/14/2016 09:54 PM, Joel Nothman wrote:
>
>
>
>> PS: Now that the 0.18 is (almost) out there, no excuses anymore regarding
>> the book ;) I hope the release date in October is fixed! :).
>
>
> Except that n
Ok. Thanks for the comments!
On Mon, Aug 8, 2016 at 6:22 PM, Gael Varoquaux <
gael.varoqu...@normalesup.org> wrote:
> On Mon, Aug 08, 2016 at 03:10:26PM +0200, Raghav R V wrote:
> > I felt we could rather have a clean build and wait for a few more
> minutes (if
> > th
;
>
> On 08/07/2016 08:39 AM, Raghav R V wrote:
>
> Could someone disable the Travis cache once and for all please?
>
> I have seen several frustrating incidents where the Travis fails the PR
> because of this caching of old files.
>
> I also don't understand
Could someone disable the Travis cache once and for all please?
I have seen several frustrating incidents where the Travis fails the PR
because of this caching of old files.
I also don't understand why it is enabled in the first place. It would
really be super helpful if it is disabled for good.
Congrats Loïc! Looking forward to your comments :)
On 23 Jun 2016 19:09, "Manoj Kumar" wrote:
> Hi Loic,
>
> Congratulation!
>
> On Thu, Jun 23, 2016 at 4:11 AM, Joel Nothman
> wrote:
>
>> Thanks for some great work so far, Loic; I'm looking forward to more of
>> your well-considered comments an
ommenter to go ahead and raise a PR in
both cases.)
On Thu, Jun 23, 2016 at 2:51 PM, Joel Nothman
wrote:
> On 23 June 2016 at 22:47, Raghav R V wrote:
>
>> > "nag if needed"!
>>
>> I always assume it to be an implicit advice ;P
>>
>
> I coul
> "nag if needed"!
I always assume it to be an implicit advice ;P
On Wed, Jun 22, 2016 at 9:39 PM, Andreas Mueller wrote:
> Sorry, I've been off review duty for a while, should be back later this
> summer ;)
>
>
> On 06/21/2016 12:09 AM, olologin wrote:
>
>> Hi guys, I know scikit-learn may not
IMHO the squash and merge should not be used when there are commits from 2
or more different authors to avoid crediting only a single author.
On Tue, Jun 14, 2016 at 6:40 PM, Tom DLT wrote:
> @Andreas
> It's a bit hidden: You need to click on "Merge pull-request", then do
> *not* click on "Confi
Hi scikit devs,
I'm changing my github handle (hopefully permanently) from "rvraghav93" to
"raghavrv" (and twitter handle to "_raghavrv").
Apologies for the inconvenience!
Thanks!
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