[Scikit-learn-general] Roadmap / Scope

[Andreas Mueller]

Hi everybody.
Long and general mail coming on.
TL;DR version: do we want to plan for the future?

Today I read this blog post on the scope of open source projects:
http://brianegranger.com/?p=249

It made me dig up an old mail draft I wrote after reading a post by Gael:
http://www.slideshare.net/eleddy/i-wish-i-knew-how-to-quit-you


I realized then that we don't really make any plans. Sometimes people
(mostly me)
tag some issues to certain releases but that's it.
There is some vague idea, pushed mainly by Gaël that we want to do a
1.0 in the not-so-far future, but there is no list of features that we
want (I created
a milestone and assigned random bits, not sure if any one noticed).

I wanted to ask: should we try to make plans? We get a lot of PRs and
have more and more contributors and I think it might be nice
if we had some form of road map to give everything a bit more direction.

I know that people mostly contribute algorithms they are using in research,
and that is great, because that makes for high-quality code.
I am not sure, though, for how long the "hey look, I coded this cool
estimator
which I used in my latest paper" strategy is feasible.

There are also several classes of algorithms that we haven't really
touched on that
might be in the scope and might "creep" into sklearn without really any
discussion.

I'm thinking mainly about ranking, collaborative filtering, structured
prediction (in particular sequences),
metric learning, graphical models (and some more).


Maybe the project is still small enough that our current approach might
work,
but with more and more new contributors, I thought it might be good to
think a little
bit about where we want to go.


Cheers,
Andy

[Andrew Winterman]

I am +1 on a plan, since it's helpful for newbies like myself in
orienting themselves, and helps focus developer effort.

That said, the breadth of this project is pretty amazing, and it's
probably a good idea to keep classifiers which are up-and-coming in
academia available. I guess I'm voting for both.

:)

Andrew

On Thu, Jan 10, 2013 at 2:29 PM, Andreas Mueller

Post by Andreas Mueller
Hi everybody.
Long and general mail coming on.
TL;DR version: do we want to plan for the future?
http://brianegranger.com/?p=249
http://www.slideshare.net/eleddy/i-wish-i-knew-how-to-quit-you
I realized then that we don't really make any plans. Sometimes people
(mostly me)
tag some issues to certain releases but that's it.
There is some vague idea, pushed mainly by Gaël that we want to do a
1.0 in the not-so-far future, but there is no list of features that we
want (I created
a milestone and assigned random bits, not sure if any one noticed).
I wanted to ask: should we try to make plans? We get a lot of PRs and
have more and more contributors and I think it might be nice
if we had some form of road map to give everything a bit more direction.
I know that people mostly contribute algorithms they are using in research,
and that is great, because that makes for high-quality code.
I am not sure, though, for how long the "hey look, I coded this cool
estimator
which I used in my latest paper" strategy is feasible.
There are also several classes of algorithms that we haven't really
touched on that
might be in the scope and might "creep" into sklearn without really any
discussion.
I'm thinking mainly about ranking, collaborative filtering, structured
prediction (in particular sequences),
metric learning, graphical models (and some more).
Maybe the project is still small enough that our current approach might
work,
but with more and more new contributors, I thought it might be good to
think a little
bit about where we want to go.
Cheers,
Andy
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[Lars Buitinck]

Post by Andreas Mueller
I wanted to ask: should we try to make plans? We get a lot of PRs and
have more and more contributors and I think it might be nice
if we had some form of road map to give everything a bit more direction.
I know that people mostly contribute algorithms they are using in research,
and that is great, because that makes for high-quality code.
I am not sure, though, for how long the "hey look, I coded this cool
estimator which I used in my latest paper" strategy is feasible.

What we could do is determine a focus for the next release other than
"add more features", like:
* implement Python 3 support
* fix outstanding API issues, like sparse matrix support for some estimators.

That would be a step towards a 1.0.

[Robert Layton]

Post by Andreas Mueller

Post by Andreas Mueller
I wanted to ask: should we try to make plans? We get a lot of PRs and
have more and more contributors and I think it might be nice
if we had some form of road map to give everything a bit more direction.
I know that people mostly contribute algorithms they are using in

research,

Post by Andreas Mueller
and that is great, because that makes for high-quality code.
I am not sure, though, for how long the "hey look, I coded this cool
estimator which I used in my latest paper" strategy is feasible.

What we could do is determine a focus for the next release other than
* implement Python 3 support
* fix outstanding API issues, like sparse matrix support for some estimators.
That would be a step towards a 1.0.
--
Lars Buitinck
Scientific programmer, ILPS
University of Amsterdam
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I would say to not worry about the addition of algorithms, and have 1.0 as
being a API/python3/sparse release as Lars said.
I don't think that holding off a big release because it doesn't contain
algorithm X is a good idea, as there are plenty of algorithms we don't have
yet, even important ones (depending on your definition of important).

- Robert

[Vlad Niculae]

I completely agree with everyone regarding 1.0 and I really think we should
make a clear list of issues for this (just saying API is pretty vague).
However there is life after the 1.0, and I think Andy's message was more
about that kind of long-term decisions.

We should avoid getting features that aren't used by users, and equally
well features that aren't of interest to active developers. I don't feel
like scikit-learn is at risk at the moment, but we must avoid ending up
with (more?) semi-orphaned modules that most developers are afraid to touch
in case an issue is reported.

Vlad

Post by Robert Layton

Post by Andreas Mueller

Post by Andreas Mueller
I wanted to ask: should we try to make plans? We get a lot of PRs and
have more and more contributors and I think it might be nice
if we had some form of road map to give everything a bit more direction.
I know that people mostly contribute algorithms they are using in

research,

Post by Andreas Mueller
and that is great, because that makes for high-quality code.
I am not sure, though, for how long the "hey look, I coded this cool
estimator which I used in my latest paper" strategy is feasible.

What we could do is determine a focus for the next release other than
* implement Python 3 support
* fix outstanding API issues, like sparse matrix support for some estimators.
That would be a step towards a 1.0.
--
Lars Buitinck
Scientific programmer, ILPS
University of Amsterdam
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I would say to not worry about the addition of algorithms, and have 1.0 as
being a API/python3/sparse release as Lars said.
I don't think that holding off a big release because it doesn't contain
algorithm X is a good idea, as there are plenty of algorithms we don't have
yet, even important ones (depending on your definition of important).
- Robert
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[Olivier Grisel]

Post by Vlad Niculae
I completely agree with everyone regarding 1.0 and I really think we should
make a clear list of issues for this (just saying API is pretty vague).
However there is life after the 1.0, and I think Andy's message was more
about that kind of long-term decisions.

Agreed.

Post by Vlad Niculae
We should avoid getting features that aren't used by users, and equally well
features that aren't of interest to active developers. I don't feel like
scikit-learn is at risk at the moment, but we must avoid ending up with
(more?) semi-orphaned modules that most developers are afraid to touch in
case an issue is reported.

Very true.

--
Olivier
http://twitter.com/ogrisel - http://github.com/ogrisel

[Gilles Louppe]

Hi there,

I agree with you on having long-term goals. We should indeed define
where we want the library to go.

Before going into such introspection though, I think we should get
more insight about how our current user base is using Scikit-Learn. I
have been involved in the project for more than one year and a half
and I have to say that I unfortunately don't know well our users
(beside the unhappy ones who report bugs).

- How many users do we actually have? a few dozens? hundreds? thousands?
- What are they actually using the library for?
- How are they doing that?
- Is that what we want and how we want them to do?
- ... does this match with our vision for the project?

Those are some questions for which I would be curious to get answers.

I got some insight this year when I made my students use Scikit-Learn
for assignments in our local Machine Learning course. They started
from zero knowledge in Python and in Machine Learning, and they end up
tackling a real world problem (I made them compete locally on the
Impermium dataset, trying to detect insults in social commentary).
Once the assignments were done, I asked them to give me some feedback
about Scikit-Learn to see what they like and dislike. I was planning
on sending you email to give you that feedback, but here is the
opportunity. So here it is:

+ They quickly got acquainted with the library. It was easy and
straightforward for most of them. (I actually received a lot less
questions in comparison with when were using Matlab.)
+ They found the documentation very well structured and very helpful.
+ They were glad to find nearly all the algorithms we study in class
(both not all though).
+ They liked the well-structured and common API between the
estimators. This indeed made the library a lot easier to use and
learn.
- Some had hard time to understand the error messages. I indeed agree
that some error messages may look cryptic for novices.
- Not all estimators are sparse-compatible.
- Some basic estimators are missing. They complained about the lack of
neural networks. Some generic ensemble methods are also missing
(Stacking and Bagging are two easy but very useful ensemble methods
that we should have in my opinion).
- Some try to implement their own estimators, but they failed to make
it compatible with our grid-search module. (I think what is missing
here is some documentation regarding what is the expected interface.)

Overall this feedback is very positive. If our goal is to build a
toolbox such that non-experts can quickly get theirs hands on machine
learning and have results quite easily, then I think we are not that
far from that! However, this also highlights some important lacking
features in the library that I think we should fix before going for
1.0.

What is your opinion on this?

Cheers,

Gilles

Post by Olivier Grisel

Post by Vlad Niculae
I completely agree with everyone regarding 1.0 and I really think we should
make a clear list of issues for this (just saying API is pretty vague).
However there is life after the 1.0, and I think Andy's message was more
about that kind of long-term decisions.

Agreed.

Post by Vlad Niculae
We should avoid getting features that aren't used by users, and equally well
features that aren't of interest to active developers. I don't feel like
scikit-learn is at risk at the moment, but we must avoid ending up with
(more?) semi-orphaned modules that most developers are afraid to touch in
case an issue is reported.

Very true.
--
Olivier
http://twitter.com/ogrisel - http://github.com/ogrisel
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[Andreas Mueller]

Hi everyone.
I am pretty psyched that I got so much feedback :)
I think planning for a road towards 1.0 and also beyond would be good.

Thanks Gilles for sharing your insights.
They match quit well what I had in mind :)
Also, I think getting an idea about the userbase would be great - though
it is a bit hard.

We *could* put a survey on the website. Not sure if there is any other
method?


Also, I totally agree with Vlad: we must focus on user interests and
also on our own qualifications.
I'm not entirely happy with the state of HMM, GP and DPGMM/VBGMM currently.


So there are two goals I heard a lot: sparse matrix support everywhere
and Python 3 support.
These sound also pretty good to me.


As I think grid search an model evaluation is one of the core features
of sklearn, I have been
working on that quite a bit lately and totally agree with Olivier that
there is still some worthwhile work to do.

Also the "write your own estimator" docs and general sklearn API should
be a pretty high priority, I think.

As I see one of the applications of sklearn in teaching, I think it
would be great if we could get all the "ML 101"
algorithms together. We might disagree somewhat on what those are, but I
think we can find some common ground.
Neural networks, and general ensembles are the first that come to my
mind. And also logistic regression.
I think it is a bit weird that we don't have multinomial logistic
regression in sklearn.

Ok so what do we do now?
I think we should decide if and how we want to ask our users.

Then we should find a way to set up a roadmap. I am not sure if the
github issue tracker is the right way to do it.
Should we instead use the github wiki?

Best,
Andy

[Olivier Grisel]

Post by Gilles Louppe
Hi there,
I agree with you on having long-term goals. We should indeed define
where we want the library to go.
Before going into such introspection though, I think we should get
more insight about how our current user base is using Scikit-Learn. I
have been involved in the project for more than one year and a half
and I have to say that I unfortunately don't know well our users
(beside the unhappy ones who report bugs).
- How many users do we actually have? a few dozens? hundreds? thousands?
- What are they actually using the library for?
- How are they doing that?
- Is that what we want and how we want them to do?
- ... does this match with our vision for the project?

+1 We need to come up with a survey form using google doc's form (now
renamed to google drive forms) and advertise it here and over our
social networks.

http://google.about.com/od/toolsfortheoffice/ss/forms_googledoc.htm

Any volunteer to start a draft?

We should embargo its diffusion over social networks until we agree on
the questions but we can share it on the mailing list to
collaboratively edit / review the survey together.

Post by Gilles Louppe
Those are some questions for which I would be curious to get answers.
I got some insight this year when I made my students use Scikit-Learn
for assignments in our local Machine Learning course. They started
from zero knowledge in Python and in Machine Learning, and they end up
tackling a real world problem (I made them compete locally on the
Impermium dataset, trying to detect insults in social commentary).
Once the assignments were done, I asked them to give me some feedback
about Scikit-Learn to see what they like and dislike. I was planning
on sending you email to give you that feedback, but here is the
+ They quickly got acquainted with the library. It was easy and
straightforward for most of them. (I actually received a lot less
questions in comparison with when were using Matlab.)
+ They found the documentation very well structured and very helpful.
+ They were glad to find nearly all the algorithms we study in class
(both not all though).
+ They liked the well-structured and common API between the
estimators. This indeed made the library a lot easier to use and
learn.
- Some had hard time to understand the error messages. I indeed agree
that some error messages may look cryptic for novices.
- Not all estimators are sparse-compatible.
- Some basic estimators are missing. They complained about the lack of
neural networks. Some generic ensemble methods are also missing
(Stacking and Bagging are two easy but very useful ensemble methods
that we should have in my opinion).
- Some try to implement their own estimators, but they failed to make
it compatible with our grid-search module. (I think what is missing
here is some documentation regarding what is the expected interface.)
Overall this feedback is very positive. If our goal is to build a
toolbox such that non-experts can quickly get theirs hands on machine
learning and have results quite easily, then I think we are not that
far from that!

Thanks very much for the feedback.

Post by Gilles Louppe
However, this also highlights some important lacking
features in the library that I think we should fix before going for
1.0.
What is your opinion on this?

Indeed, so high priority for the 1.0:

- python 3 support
- polish support for sparse matrices + better error messages on invalid inputs
- polish grid search / model selection + better documentation on the expectation
- add missing yet basic ensemble strategies: bagging and stacking

--
Olivier
http://twitter.com/ogrisel - http://github.com/ogrisel

[Andreas Mueller]

Post by Olivier Grisel
+1 We need to come up with a survey form using google doc's form (now
renamed to google drive forms) and advertise it here and over our
social networks.
http://google.about.com/od/toolsfortheoffice/ss/forms_googledoc.htm

Why not surveymonkey? I haven't used google doc forms but I found
surveymonkey working quite well.

Post by Olivier Grisel
Any volunteer to start a draft?
We should embargo its diffusion over social networks until we agree on
the questions but we can share it on the mailing list to
collaboratively edit / review the survey together.

what do you think about publishing it on the website?
Not sure we reach a sensible fraction of the users over social media / ML.

[Leon Palafox]

Hey Guys, I'll be happy to start a draft.

So far I have the following questions:

1. How many users do we actually have? a few dozens? hundreds? thousands?
(I think this will be a bit tricky)
2. What is your Academic Background (CS Related/Non CS related (Biology,
Physics, etc))
3. What is your current ocupation (Industry/Academy)
4. What is your main use of Sklearn
5. Which are the libraries/packages you use the most
6. Which algorithms would you like to see implemented

I can do it both in Forms and Monkey Survey, I think Monkey Survey has
some features behind a paywall while forms has less features but it
completely free.

Do you have any other questions?


On Fri, Jan 11, 2013 at 7:35 PM, Andreas Mueller

Post by Andreas Mueller

Post by Olivier Grisel
+1 We need to come up with a survey form using google doc's form (now
renamed to google drive forms) and advertise it here and over our
social networks.
http://google.about.com/od/toolsfortheoffice/ss/forms_googledoc.htm

Why not surveymonkey? I haven't used google doc forms but I found
surveymonkey working quite well.

Post by Olivier Grisel
Any volunteer to start a draft?
We should embargo its diffusion over social networks until we agree on
the questions but we can share it on the mailing list to
collaboratively edit / review the survey together.

what do you think about publishing it on the website?
Not sure we reach a sensible fraction of the users over social media / ML.
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[Robert Layton]

I love the survey idea. I'd like to add some free text fields around "how
do you use sklearn", "what would you like to see in sklearn". Having
restricted questions is good, but the text may give us some answers we
weren't expecting.

Post by Leon Palafox
Hey Guys, I'll be happy to start a draft.
1. How many users do we actually have? a few dozens? hundreds? thousands?
(I think this will be a bit tricky)
2. What is your Academic Background (CS Related/Non CS related (Biology,
Physics, etc))
3. What is your current ocupation (Industry/Academy)
4. What is your main use of Sklearn
5. Which are the libraries/packages you use the most
6. Which algorithms would you like to see implemented
I can do it both in Forms and Monkey Survey, I think Monkey Survey has
some features behind a paywall while forms has less features but it
completely free.
Do you have any other questions?

Post by Andreas Mueller

Post by Olivier Grisel
+1 We need to come up with a survey form using google doc's form (now
renamed to google drive forms) and advertise it here and over our
social networks.
http://google.about.com/od/toolsfortheoffice/ss/forms_googledoc.htm

Why not surveymonkey? I haven't used google doc forms but I found
surveymonkey working quite well.

Post by Olivier Grisel
Any volunteer to start a draft?
We should embargo its diffusion over social networks until we agree on
the questions but we can share it on the mailing list to
collaboratively edit / review the survey together.

what do you think about publishing it on the website?
Not sure we reach a sensible fraction of the users over social media / ML.
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--
Leon Palafox, M.Sc
PhD Candidate
Iba Laboratory
[phone]
University of Tokyo
Tokyo, Japan.
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[Andreas Mueller]

Post by Leon Palafox
Hey Guys, I'll be happy to start a draft.
1. How many users do we actually have? a few dozens? hundreds?
thousands? (I think this will be a bit tricky)
2. What is your Academic Background (CS Related/Non CS related
(Biology, Physics, etc))
3. What is your current ocupation (Industry/Academy)
4. What is your main use of Sklearn
5. Which are the libraries/packages you use the most
6. Which algorithms would you like to see implemented
I can do it both in Forms and Monkey Survey, I think Monkey Survey has
some features behind a paywall while forms has less features but it
completely free.
Do you have any other questions?

Hi Leon.
Thanks for volunteering :)
My guess would be that it is good to limit the number of questions, as
people quickly lose interest.

For 1, I would lower bound it by some function of the surveys we get ;)
It is not a question that we put on the survey any how. Except if you
want to crowd-source it ;)
2+3+6 seem good too me, 4 is to imprecise. Not sure what we gain from 5.

My questions would be:
7) What do you find most annoying about sklearn
8) what do you like best about sklearn
9) which features do you use most
10) which features (not algorithms) would you like to see.

[Andreas Mueller]

Hey everybody.
I'd really like to get some more feedback from the other core devs about
the survey idea.
What do you think about it?

Also, if we do it, it would be great if we could find one of the core
devs to oversee it and see that it
gets on the website in time and everything.
I should really be working on my thesis right now, so I don't want to
take charge of that (in addition
to doing the rest of the release).

Thanks,
Andy

[Jaques Grobler]

Hey Andy

I really like the idea of the survey. It would definitely help focus the
project better considering it's rapid growth..
It's a good way to stay up to speed with which features people would like
to see and would
actually use, and which ones aren't used much. The ones that aren't used
often will in the
long run cause problems with maintaining them.

Regarding it's implementation, a link to it on the sidebar seems like a
nice place to me on the docs.
I'd be happy to help with overseeing it and making sure it gets up quickly.

Regards, Jaques

Post by Andreas Mueller
Hey everybody.
I'd really like to get some more feedback from the other core devs about
the survey idea.
What do you think about it?
Also, if we do it, it would be great if we could find one of the core
devs to oversee it and see that it
gets on the website in time and everything.
I should really be working on my thesis right now, so I don't want to
take charge of that (in addition
to doing the rest of the release).
Thanks,
Andy
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[Andreas Mueller]

Hi Jaques.
Thanks for volunteering. I was actually thinking more about a banner
that people can't overlook ;)
But if you make it flashy enough in the sidebar, that would also be ok,
I guess.
Anyhow, before any serious work gets done, I'd like to hear the opinion
of Mathieu, Lars, Alex, Gael, Peter and other people I forgot ;)

Cheers,
Andy

[Jaques Grobler]

Banner would be nice too.. open to any suggestions there ..
Regards

Post by Andreas Mueller
Hi Jaques.
Thanks for volunteering. I was actually thinking more about a banner
that people can't overlook ;)
But if you make it flashy enough in the sidebar, that would also be ok,
I guess.
Anyhow, before any serious work gets done, I'd like to hear the opinion
of Mathieu, Lars, Alex, Gael, Peter and other people I forgot ;)
Cheers,
Andy
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[Wei LI]

A survey would be quite helpful to make a detailed roadmap. Maybe we can
also put the survey on somewhere machine learning guys gather like Kaggle.

I wanna share some thoughts on adding new algorithms. More and more papers
are published for machine learning, and plenty of new algorithms are
proposed to replace old ones. There have been debate about whether to
include one algorithm or not in sklearn and I believe there will be more
and more such discussion because of those new papers. For the addition of
new algorithms, maybe some new estimators could be added in a 3rd party
contrib repo where every algorithms can be added as long as it have been
benchmarked and follows the structure of sklearn. Sklearn provides a good
framework and utilities to implement new algorithms, and makes some common
tasks like cross validation easy. In the main repo, only those time-tested
algorithms or those voted most algorithms from contrib repo are included.(I
think it is just what R has done?). For those users who use it for research
purposes, it may allow them a new place to share benchmark algorithms or
their own algorithms rather than matlabcentral.

Best Regards,
Wei LI

Post by Jaques Grobler
Banner would be nice too.. open to any suggestions there ..
Regards

Post by Andreas Mueller
Hi Jaques.
Thanks for volunteering. I was actually thinking more about a banner
that people can't overlook ;)
But if you make it flashy enough in the sidebar, that would also be ok,
I guess.
Anyhow, before any serious work gets done, I'd like to hear the opinion
of Mathieu, Lars, Alex, Gael, Peter and other people I forgot ;)
Cheers,
Andy
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[Robert Layton]

Post by Wei LI
A survey would be quite helpful to make a detailed roadmap. Maybe we can
also put the survey on somewhere machine learning guys gather like Kaggle.
I wanna share some thoughts on adding new algorithms. More and more papers
are published for machine learning, and plenty of new algorithms are
proposed to replace old ones. There have been debate about whether to
include one algorithm or not in sklearn and I believe there will be more
and more such discussion because of those new papers. For the addition of
new algorithms, maybe some new estimators could be added in a 3rd party
contrib repo where every algorithms can be added as long as it have been
benchmarked and follows the structure of sklearn. Sklearn provides a good
framework and utilities to implement new algorithms, and makes some common
tasks like cross validation easy. In the main repo, only those time-tested
algorithms or those voted most algorithms from contrib repo are included.(I
think it is just what R has done?). For those users who use it for research
purposes, it may allow them a new place to share benchmark algorithms or
their own algorithms rather than matlabcentral.
Best Regards,
Wei LI

I believe a project like that exists, but I cannot remember the name of it.

On the survey, I'd be happy to help analyse the results, but probably won't
have time to set it up.

[Gael Varoquaux]

Post by Andreas Mueller
I'd really like to get some more feedback from the other core devs about
the survey idea.
What do you think about it?

It's a good idea, but I would make it really clear that the scikit is a
doacracy and the survey is purely indicative. I am not interested in
getting a shopping list of feature requests (I get enough of that in my
email, via issues or private emails), but more to know what our strength
and weaknesses are.

Thanks for putting this forward,

Gaël

[Andreas Mueller]

Hi all.
Leon, did you set up a Forms already?

Do we have any more ideas for questions?
I think we should start voting on them if we want to get it ready for
the release.

Cheers,
Andy

[Leon Palafox]

Hello,

I have some sort of form ready in google docs.

https://docs.google.com/spreadsheet/viewform?formkey=dFdyeGNhMzlCRWZUdldpMEZlZ1B1YkE6MQ

Let me know your suggestions

Leon


On Thu, Jan 17, 2013 at 10:13 PM, Andreas Mueller

Post by Andreas Mueller
Hi all.
Leon, did you set up a Forms already?
Do we have any more ideas for questions?
I think we should start voting on them if we want to get it ready for
the release.
Cheers,
Andy
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[Jaques Grobler]

Looks good.. should there perhaps be an 'other' tickbox for the first
question (maybe with a textbox to specify?) - or is that overkill?

also, shouldn't TI be IT? Only Texas Instruments and non english version of
IT comes to mind for me.. I mind be being dumb here :D

Thanks for doing this

Post by Leon Palafox
Hello,
I have some sort of form ready in google docs.
https://docs.google.com/spreadsheet/viewform?formkey=dFdyeGNhMzlCRWZUdldpMEZlZ1B1YkE6MQ
Let me know your suggestions
Leon
On Thu, Jan 17, 2013 at 10:13 PM, Andreas Mueller <

Post by Andreas Mueller
Hi all.
Leon, did you set up a Forms already?
Do we have any more ideas for questions?
I think we should start voting on them if we want to get it ready for
the release.
Cheers,
Andy
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[Andreas Mueller]

Hi Leon.
Looks good, thanks :)

Maybe some others have some ideas for questions?

I think we might get more out of people if we have more multiple choice
or radio buttons,
as these are way easier to click.

Maybe we could also have something about priorities, like "which of the
following should we make a priority:
- out of core and online learning
- python3 support
- sparse matrix support
- semisupervised learning
- ranking
- deep learning an neural networks
- closer ties with other libraries like pandas and scikit-image
"
or something like that - basically ask them if they feel the same stuff
is important that
just came up in the discussion.
The list just came from the top of my head, so dont take it to literal ;)

Jaques, could you maybe make a proposal on how to put it on the website?
I'd prefer a banner. Not sure what others think.

Cheers,
Andy

Post by Leon Palafox
Hello,
I have some sort of form ready in google docs.
https://docs.google.com/spreadsheet/viewform?formkey=dFdyeGNhMzlCRWZUdldpMEZlZ1B1YkE6MQ
Let me know your suggestions
Leon
On Thu, Jan 17, 2013 at 10:13 PM, Andreas Mueller
Hi all.
Leon, did you set up a Forms already?
Do we have any more ideas for questions?
I think we should start voting on them if we want to get it ready for
the release.
Cheers,
Andy
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[Jaques Grobler]

Sure, I can do that

Regards,
J

Post by Andreas Mueller
Hi Leon.
Looks good, thanks :)
Maybe some others have some ideas for questions?
I think we might get more out of people if we have more multiple choice or
radio buttons,
as these are way easier to click.
Maybe we could also have something about priorities, like "which of the
- out of core and online learning
- python3 support
- sparse matrix support
- semisupervised learning
- ranking
- deep learning an neural networks
- closer ties with other libraries like pandas and scikit-image
"
or something like that - basically ask them if they feel the same stuff is
important that
just came up in the discussion.
The list just came from the top of my head, so dont take it to literal ;)
Jaques, could you maybe make a proposal on how to put it on the website?
I'd prefer a banner. Not sure what others think.
Cheers,
Andy
Hello,
I have some sort of form ready in google docs.
https://docs.google.com/spreadsheet/viewform?formkey=dFdyeGNhMzlCRWZUdldpMEZlZ1B1YkE6MQ
Let me know your suggestions
Leon
On Thu, Jan 17, 2013 at 10:13 PM, Andreas Mueller <

Post by Andreas Mueller
Hi all.
Leon, did you set up a Forms already?
Do we have any more ideas for questions?
I think we should start voting on them if we want to get it ready for
the release.
Cheers,
Andy
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[phone]
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[Robert Layton]

Post by Jaques Grobler
Sure, I can do that
Regards,
J

Post by Andreas Mueller
Hi Leon.
Looks good, thanks :)
Maybe some others have some ideas for questions?
I think we might get more out of people if we have more multiple choice
or radio buttons,
as these are way easier to click.
Maybe we could also have something about priorities, like "which of the
- out of core and online learning
- python3 support
- sparse matrix support
- semisupervised learning
- ranking
- deep learning an neural networks
- closer ties with other libraries like pandas and scikit-image
"
or something like that - basically ask them if they feel the same stuff
is important that
just came up in the discussion.
The list just came from the top of my head, so dont take it to literal ;)
Jaques, could you maybe make a proposal on how to put it on the website?
I'd prefer a banner. Not sure what others think.
Cheers,
Andy
Hello,
I have some sort of form ready in google docs.
https://docs.google.com/spreadsheet/viewform?formkey=dFdyeGNhMzlCRWZUdldpMEZlZ1B1YkE6MQ
Let me know your suggestions
Leon
On Thu, Jan 17, 2013 at 10:13 PM, Andreas Mueller <

Post by Andreas Mueller
Hi all.
Leon, did you set up a Forms already?
Do we have any more ideas for questions?
I think we should start voting on them if we want to get it ready for
the release.
Cheers,
Andy
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[phone]
University of Tokyo
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Great set of questions. A few typos and suggestions (marked with S):

Question 1:
Missing question mark in "subquestion"

Question 2:
Missing question mark in "subquestion"
academy -> academia
hobby -> hobbyist
S: Maybe instead of "hybrid", have a text box for "other"?
S: I would also tend to not have any questions as mandatory, while it would
be good to have answers to all, we don't *need* answers to them all.

Question 3:
Algorithms -> algorithms
"this library" -> scikit-learn
Missing question mark in "subquestion"


Question 4:
Missing question mark for both major and subquestion
thing -> think
Sklearn -> scikit-learn
S: I would either remove the "fast implementation" bit, or make it the
focus of the question. The main and subquestions here ask very different
things. Something like "Which features hinder development with
scikit-learn?"

Question 5:
Question mark.
S: Subquestion "What are we doing that you would like to see continue?"

Question 6:
Question mark.
S: Subquestion: "Features such as sampling, utility functions, dataset
loading, etc."

Question 7:
Question mark.
I'm not sure question 7 is needed in its current form. If the options were
broad concepts like "Coding quality", "Integration with other libraries",
"scalability", "efficiency", then the question would work. As it stands,
this question is answered by the above questions.

[Andreas Mueller]

Post by Robert Layton
Question mark.
I'm not sure question 7 is needed in its current form. If the options
were broad concepts like "Coding quality", "Integration with other
libraries", "scalability", "efficiency", then the question would work.
As it stands, this question is answered by the above questions.

I thought it would be good to give some ideas to the people answering
the survey.
Also I thought it would be good to have more multiple choice for lazy
people.
At the moment it is quite redundant with the questions above, that is true.

[Andreas Mueller]

Btw, if we do keep 7 in some form, it should be checkbox, not a radio
button.

[Mathieu Blondel]

For the 1.0 release, I would concentrate on machine learning classics,
essentially supervised and unsupervised learning methods (i.e. the
methods for which our API is robust and well-tested). I would keep
structured prediction, semi-supervised learning, active learning or
anything that requires API design decisions for the 2.0 roadmap. Even
if we concentrate on supervised and unsupervised learning, there are
still many things to do: a neural network module, more ensemble
estimators, more API consistency, the grid search API we discussed a
few months ago, etc...

Modules I would consider for removal are gaussian processes,
semi-supervised learning and HMMs. We could move them to a
scikit-learn-bleeding-edge repository.

Mathieu

[Lars Buitinck]

Post by Mathieu Blondel
Modules I would consider for removal are gaussian processes,
semi-supervised learning and HMMs. We could move them to a
scikit-learn-bleeding-edge repository.

+1 for getting rid of the HMMs; I never liked their API, and the
MultinomialHMM in particular is quite useless (as the docs admit).

[Andreas Mueller]

Post by Lars Buitinck

Post by Mathieu Blondel
Modules I would consider for removal are gaussian processes,
semi-supervised learning and HMMs. We could move them to a
scikit-learn-bleeding-edge repository.

+1 for getting rid of the HMMs; I never liked their API, and the
MultinomialHMM in particular is quite useless (as the docs admit).

I'm also +1 on removing the HMMs as they do have a completely different API
and try to deal with sequences - I'd say sequences are out of the scope
of sklearn.

I don't see the problem with semi-supervised algorithm actually. The API
is pretty straight-forward
and there are well-established algorithms like self-taught learning.

For GP: Someone volunteered on the ML recently to take a shot at them.
Let's wait and see, I would say.

[Ronnie Ghose]

+1 for removing HMM from 1.0 I would still like them accessible somewhere
though.

+1 for semi-supervised to be kept in 1.0 release. It doesn't seem very
developed. Seems self-explanatory.


On Fri, Jan 18, 2013 at 11:38 AM, Andreas Mueller

Post by Andreas Mueller

Post by Lars Buitinck

Post by Mathieu Blondel
Modules I would consider for removal are gaussian processes,
semi-supervised learning and HMMs. We could move them to a
scikit-learn-bleeding-edge repository.

+1 for getting rid of the HMMs; I never liked their API, and the
MultinomialHMM in particular is quite useless (as the docs admit).

I'm also +1 on removing the HMMs as they do have a completely different API
and try to deal with sequences - I'd say sequences are out of the scope
of sklearn.
I don't see the problem with semi-supervised algorithm actually. The API
is pretty straight-forward
and there are well-established algorithms like self-taught learning.
For GP: Someone volunteered on the ML recently to take a shot at them.
Let's wait and see, I would say.
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[Mathieu Blondel]

On Sat, Jan 19, 2013 at 1:38 AM, Andreas Mueller

Post by Andreas Mueller
I don't see the problem with semi-supervised algorithm actually. The API
is pretty straight-forward
and there are well-established algorithms like self-taught learning.

The API feels natural and is flexible but retrieving all labeled
examples and all unlabeled examples (an operation which is common for
semi-supervised algorithms) is prone to memory copy, in particular in
the sparse case:
https://github.com/scipy/scipy/blob/master/scipy/sparse/compressed.py#L387

I think we have never really taken the time to study the pros and cons
of different possible APIs.

Mathieu

[Jaques Grobler]

Regarding the banner, the first screenshot I posted is actually a fixed one
that scrolls along with the page. I like the idea of it being less
disco-intense
but catches your eye as you scroll

Post by Mathieu Blondel
On Sat, Jan 19, 2013 at 1:38 AM, Andreas Mueller

Post by Andreas Mueller
I don't see the problem with semi-supervised algorithm actually. The API
is pretty straight-forward
and there are well-established algorithms like self-taught learning.

The API feels natural and is flexible but retrieving all labeled
examples and all unlabeled examples (an operation which is common for
semi-supervised algorithms) is prone to memory copy, in particular in
https://github.com/scipy/scipy/blob/master/scipy/sparse/compressed.py#L387
I think we have never really taken the time to study the pros and cons
of different possible APIs.
Mathieu
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[Satrajit Ghosh]

hi jaques,

in that case i like it (so it stays always on the top of the screen. i
would still recommend for something simpler perhaps without the shading,
just an outline of the box.

cheers,

satra

Post by Jaques Grobler
Regarding the banner, the first screenshot I posted is actually a fixed one
that scrolls along with the page. I like the idea of it being less
disco-intense
but catches your eye as you scroll

Post by Mathieu Blondel
On Sat, Jan 19, 2013 at 1:38 AM, Andreas Mueller

Post by Andreas Mueller
I don't see the problem with semi-supervised algorithm actually. The API
is pretty straight-forward
and there are well-established algorithms like self-taught learning.

The API feels natural and is flexible but retrieving all labeled
examples and all unlabeled examples (an operation which is common for
semi-supervised algorithms) is prone to memory copy, in particular in
https://github.com/scipy/scipy/blob/master/scipy/sparse/compressed.py#L387
I think we have never really taken the time to study the pros and cons
of different possible APIs.
Mathieu
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[Robert Layton]

hi jaques,
in that case i like it (so it stays always on the top of the screen. i
would still recommend for something simpler perhaps without the shading,
just an outline of the box.
cheers,
satra

Post by Jaques Grobler
Regarding the banner, the first screenshot I posted is actually a fixed one
that scrolls along with the page. I like the idea of it being less
disco-intense
but catches your eye as you scroll

Post by Mathieu Blondel
On Sat, Jan 19, 2013 at 1:38 AM, Andreas Mueller

Post by Andreas Mueller
I don't see the problem with semi-supervised algorithm actually. The

API

Post by Andreas Mueller
is pretty straight-forward
and there are well-established algorithms like self-taught learning.

The API feels natural and is flexible but retrieving all labeled
examples and all unlabeled examples (an operation which is common for
semi-supervised algorithms) is prone to memory copy, in particular in
https://github.com/scipy/scipy/blob/master/scipy/sparse/compressed.py#L387
I think we have never really taken the time to study the pros and cons
of different possible APIs.
Mathieu
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Banner: I liked the green as a colour, don't mind it standing out, but we
should probably share the direct link rather than say "go to homepage and
click the survey button".
Time taken: The survey takes about 2 or 3 minutes if you are doing it
correctly, but know what you are talking about.
Notification text: Saying "7 question survey" maybe good, at least then
people know its length before they start.


I wonder also if we should accommodate the survey to people that *don't use
scikit-learn* for some reason... why don't they?
Perhaps that is a survey for a different time though...

[Lars Buitinck]

Post by Jaques Grobler
Regarding the banner, the first screenshot I posted is actually a fixed one
that scrolls along with the page. I like the idea of it being less
disco-intense but catches your eye as you scroll

Ok. In that case, +1 for the orange banner, it fits in with the rest
of the page.

[Gael Varoquaux]

Post by Jaques Grobler
Regarding the banner, the first screenshot I posted is actually a fixed one
that scrolls along with the page. I like the idea of it being less
disco-intense
but catches your eye as you scroll

I don't really like this idea, as we must cater for small screens. I look
at the scikit-learn website from my mobile on a regular basis.

G

[Gael Varoquaux]

Post by Andreas Mueller
For GP: Someone volunteered on the ML recently to take a shot at them.
Let's wait and see, I would say.

GPs are currently not good, but we should really keep them and strive to
improve them: they pop up quite often in machine learning settings and it
is useful to have them in the scikit.

[Olivier Grisel]

Post by Leon Palafox
Hello,
I have some sort of form ready in google docs.
https://docs.google.com/spreadsheet/viewform?formkey=dFdyeGNhMzlCRWZUdldpMEZlZ1B1YkE6MQ

For the first question:

- Self taught
- I am still at high school

+ add hobbyist as a third option to the academic / industry question.

More comments later.

--
Olivier
http://twitter.com/ogrisel - http://github.com/ogrisel

[Didier Vila]

All, thanks for your good work. I just completed the form as an user (
and not core). Didier



Didier Vila, PhD | Risk | CapQuest Group Ltd | Fleet 27 | Rye Close |
Fleet | Hampshire | GU51 2QQ | Tel: [phone] | Fax: [phone] |
Email: ***@capquestco.com <mailto:***@capquestco.com>



From: Leon Palafox [mailto:***@gmail.com]
Sent: 17 January 2013 13:18
To: scikit-learn-***@lists.sourceforge.net
Subject: Re: [Scikit-learn-general] Roadmap / Scope



Hello,



I have some sort of form ready in google docs.



https://docs.google.com/spreadsheet/viewform?formkey=dFdyeGNhMzlCRWZUdld
pMEZlZ1B1YkE6MQ



Let me know your suggestions



Leon



On Thu, Jan 17, 2013 at 10:13 PM, Andreas Mueller
<***@ais.uni-bonn.de> wrote:

Hi all.
Leon, did you set up a Forms already?

Do we have any more ideas for questions?
I think we should start voting on them if we want to get it ready for
the release.


Cheers,
Andy

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[Leon Palafox]

Hello, I just finished with most of the edits.

Regards

Post by Didier Vila
All, thanks for your good work. I just completed the form as an user (
and not core). Didier****
** **
Didier Vila, PhD | Risk | CapQuest Group Ltd | Fleet 27 | Rye
Close | Fleet | Hampshire | GU51 2QQ | Tel: [phone] | Fax: [phone]
** **
*Sent:* 17 January 2013 13:18
*Subject:* Re: [Scikit-learn-general] Roadmap / Scope****
** **
Hello,****
** **
I have some sort of form ready in google docs.****
** **
https://docs.google.com/spreadsheet/viewform?formkey=dFdyeGNhMzlCRWZUdldpMEZlZ1B1YkE6MQ
****
** **
Let me know your suggestions****
** **
Leon****
** **
On Thu, Jan 17, 2013 at 10:13 PM, Andreas Mueller <
Hi all.
Leon, did you set up a Forms already?
Do we have any more ideas for questions?
I think we should start voting on them if we want to get it ready for
the release.****
Cheers,
Andy
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****
** **
--
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Iba Laboratory****
[phone]****
University of Tokyo
Tokyo, Japan.****
** **
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[Jaques Grobler]

[Satrajit Ghosh]

sending without embedded image.

hi jaques,
looks good. two possible options
1. put it right below the current banner (across the page, below the
logo).
2. change the background to the orange or red. something that brings
attention to it.
cheers,
satra

[Ronnie Ghose]

+1 to a different color. The blue blends in with the bg.

Post by Satrajit Ghosh
sending without embedded image.

hi jaques,
looks good. two possible options
1. put it right below the current banner (across the page, below the
logo).
2. change the background to the orange or red. something that brings
attention to it.
cheers,
satra

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[Andreas Mueller]

Post by Ronnie Ghose
+1 to a different color. The blue blends in with the bg.

+1

[Jaques Grobler]

Yeah the first colour was just a random choice :) Was just to get things
going with this

Post by Ronnie Ghose
+1 to a different color. The blue blends in with the bg.
+1
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[Andreas Mueller]

Jaques, could you wrap up a PR?

[Leon Palafox]

Hi Andy,

Could you send me a gmail address?SO I can add you as a collaborator in the
form

Leon


On Mon, Jan 21, 2013 at 1:39 AM, Andreas Mueller

Post by Andreas Mueller
Jaques, could you wrap up a PR?

[Andreas Mueller]

Ok, so I updated the form a bit:
https://docs.google.com/spreadsheet/viewform?formkey=dFdyeGNhMzlCRWZUdldpMEZlZ1B1YkE6MQ#gid=0
I removed the last question and added the possible answers as a hint to
the "what would you like to see" question.

I want to release tonight and I would like to publish the survey with it.
Any more comments are welcome.

Jaques: if you could please get something together today, that would be
most appreciated ;)

[xinfan meng]

Should "in the contributors free time" be "in the contributors' free time" ?


On Mon, Jan 21, 2013 at 8:48 PM, Andreas Mueller

Post by Andreas Mueller
https://docs.google.com/spreadsheet/viewform?formkey=dFdyeGNhMzlCRWZUdldpMEZlZ1B1YkE6MQ#gid=0
I removed the last question and added the possible answers as a hint to
the "what would you like to see" question.
I want to release tonight and I would like to publish the survey with it.
Any more comments are welcome.
Jaques: if you could please get something together today, that would be
most appreciated ;)
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--
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--------------------------------------------
Meng Xinfan蒙新泛
Institute of Computational Linguistics
Department of Computer Science & Technology
School of Electronic Engineering & Computer Science
Peking University
Beijing, 100871
China

[Andreas Mueller]

Post by xinfan meng
Should "in the contributors free time" be "in the contributors' free time" ?

Yes, I think so. Thanks.

[Jaques Grobler]

Hey Andy - on it now.. Sorry I had some immigration issues this morning..
Will make it shortly

J

Post by Andreas Mueller

Post by xinfan meng
Should "in the contributors free time" be "in the contributors' free time" ?

Yes, I think so. Thanks.
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[Andreas Mueller]

Thanks a lot and sorry for rushing you :-/

[Jaques Grobler]

My github has been refusing to connect, but seems to be working now.. just
slowly..

Post by Andreas Mueller
Thanks a lot and sorry for rushing you :-/
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[Jaques Grobler]

Here's the PR with online build :
https://github.com/scikit-learn/scikit-learn/pull/1603

Post by Jaques Grobler
My github has been refusing to connect, but seems to be working now.. just
slowly..

Post by Andreas Mueller
Thanks a lot and sorry for rushing you :-/
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[Robert Layton]

Post by Jaques Grobler
https://github.com/scikit-learn/scikit-learn/pull/1603

Post by Jaques Grobler
My github has been refusing to connect, but seems to be working now..
just slowly..

Post by Andreas Mueller
Thanks a lot and sorry for rushing you :-/
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I'm happy with the survey as it stands. Some small comments if there is
still time:
- "features" shouldn't be capitalised. It is arguable if "Academic
Background" should be - but probably not.
- The text should probably be no wider than the textbox underneath it.

Other than that, all looks good.

On the scikit-learn usage, the "correct" English would be to use it as a

Post by Jaques Grobler
The programmers at Microsoft are working really hard.
Google has the world's most popular search engine.
The API of scikit-learn will be stable by the 1.0 release.

The exception is if you are calling it a "package" or "build" and
scikit-learn becomes an adjective.

Post by Jaques Grobler
The scikit-learn package contains a lot of algorithms.
There is a problem with the scikit-learn build.

Hope that helps,

Robert

[Andreas Mueller]

Post by Robert Layton
I'm happy with the survey as it stands. Some small comments if there
- "features" shouldn't be capitalised. It is arguable if "Academic
Background" should be - but probably not.
- The text should probably be no wider than the textbox underneath it.
Other than that, all looks good.

Thanks.
Should be fixed now :)

[Ronnie Ghose]

hmmmm what about one that does not share color with the scikit webpage at
all. it would look horrible - and as a result stand out....

0 - neutral


On Fri, Jan 18, 2013 at 9:27 AM, Andreas Mueller

Post by Ronnie Ghose
+1 to a different color. The blue blends in with the bg.
+1
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[xinfan meng]

How long would the survey take? If it takes less than 2 minutes, then I
think it is better to say "a one minute survey" instead of "a quick survey".

Post by Ronnie Ghose
hmmmm what about one that does not share color with the scikit webpage at
all. it would look horrible - and as a result stand out....
0 - neutral

Post by Ronnie Ghose
+1 to a different color. The blue blends in with the bg.
+1
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--
Best Wishes
--------------------------------------------
Meng Xinfan蒙新泛
Institute of Computational Linguistics
Department of Computer Science & Technology
School of Electronic Engineering & Computer Science
Peking University
Beijing, 100871
China

[Andreas Mueller]

Post by xinfan meng
How long would the survey take? If it takes less than 2 minutes, then
I think it is better to say "a one minute survey" instead of "a quick
survey".

Not sure. Take it and we will know ;)

[Jaques Grobler]

@Ronnie - here are some colours that don't really fit the theme versions

pink Loading Image...
cyan Loading Image...
green Loading Image...
red Loading Image...

Stil using layout from Satrajit's suggestion here

J

Post by Ronnie Ghose
hmmmm what about one that does not share color with the scikit webpage at
all. it would look horrible - and as a result stand out....
0 - neutral

Post by Ronnie Ghose
+1 to a different color. The blue blends in with the bg.
+1
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[Jaques Grobler]

@xinfan - good question :) Not sure how long it would take yet - but I'll
make a note of that

Post by Jaques Grobler
@Ronnie - here are some colours that don't really fit the theme versions
pink http://i49.tinypic.com/286zac1.png
cyan http://i50.tinypic.com/ao8d42.png
green http://i46.tinypic.com/2rc05si.png
red http://i50.tinypic.com/nd91le.png
Stil using layout from Satrajit's suggestion here
J

Post by Ronnie Ghose
hmmmm what about one that does not share color with the scikit webpage at
all. it would look horrible - and as a result stand out....
0 - neutral
On Fri, Jan 18, 2013 at 9:27 AM, Andreas Mueller <

Post by Ronnie Ghose
+1 to a different color. The blue blends in with the bg.
+1
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[Ronnie Ghose]

+1 red or green since they stick out really obviously

Post by Jaques Grobler
@Ronnie - here are some colours that don't really fit the theme versions
pink http://i49.tinypic.com/286zac1.png
cyan http://i50.tinypic.com/ao8d42.png
green http://i46.tinypic.com/2rc05si.png
red http://i50.tinypic.com/nd91le.png
Stil using layout from Satrajit's suggestion here
J

Post by Ronnie Ghose
hmmmm what about one that does not share color with the scikit webpage at
all. it would look horrible - and as a result stand out....
0 - neutral
On Fri, Jan 18, 2013 at 9:27 AM, Andreas Mueller <

Post by Ronnie Ghose
+1 to a different color. The blue blends in with the bg.
+1
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[Satrajit Ghosh]

hi jaques,

here is a quick fiddle to play around with the markup/colors. i just used
twitter bootstrap's alert css embedded it in a div after the header.

http://jsfiddle.net/Fgc39/

cheers,

satra

Post by Jaques Grobler
@Ronnie - here are some colours that don't really fit the theme versions
pink http://i49.tinypic.com/286zac1.png
cyan http://i50.tinypic.com/ao8d42.png
green http://i46.tinypic.com/2rc05si.png
red http://i50.tinypic.com/nd91le.png
Stil using layout from Satrajit's suggestion here
J

Post by Ronnie Ghose
hmmmm what about one that does not share color with the scikit webpage at
all. it would look horrible - and as a result stand out....
0 - neutral
On Fri, Jan 18, 2013 at 9:27 AM, Andreas Mueller <

Post by Ronnie Ghose
+1 to a different color. The blue blends in with the bg.
+1
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[Lars Buitinck]

Post by Jaques Grobler
@Ronnie - here are some colours that don't really fit the theme versions
pink http://i49.tinypic.com/286zac1.png
cyan http://i50.tinypic.com/ao8d42.png
green http://i46.tinypic.com/2rc05si.png
red http://i50.tinypic.com/nd91le.png

-1, all of these stand out a bit too much for my taste. Would it be
possible to let the banner scroll along with the page? That way, it
starts to stand out only when you start scrolling, which I think would
be friendlier.

Also, s/The Scikit-Learn/scikit-learn/.

[Satrajit Ghosh]

http://jsfiddle.net/Fgc39/1/

all controlled via the css 'alert'.

cheers,

satra

Post by Lars Buitinck

Post by Jaques Grobler
@Ronnie - here are some colours that don't really fit the theme versions
pink http://i49.tinypic.com/286zac1.png
cyan http://i50.tinypic.com/ao8d42.png
green http://i46.tinypic.com/2rc05si.png
red http://i50.tinypic.com/nd91le.png

-1, all of these stand out a bit too much for my taste. Would it be
possible to let the banner scroll along with the page? That way, it
starts to stand out only when you start scrolling, which I think would
be friendlier.
Also, s/The Scikit-Learn/scikit-learn/.
--
Lars Buitinck
Scientific programmer, ILPS
University of Amsterdam
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[Jaques Grobler]

Sorry about the embedded one - wasn't thinking there. French weather is
freezing my brain

Here's the image I sent earlier Loading Image...

Here's the new one with Satrajit's suggestions

Loading Image...

Post by Satrajit Ghosh
sending without embedded image.

hi jaques,
looks good. two possible options
1. put it right below the current banner (across the page, below the
logo).
2. change the background to the orange or red. something that brings
attention to it.
cheers,
satra

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[Satrajit Ghosh]

hi jaques,

looks good. two possible options

1. put it right below the current banner (across the page, below the logo).
2. change the background to the orange or red. something that brings
attention to it.

cheers,

satra

Post by unknown
Hey guys.. I need some feedback from ya'll on the banner..
This is a very simple quick one, just to get a feedback base going.
Let me know regarding position, size, text, colour etc.
[image: Imágenes integradas 1]
All feedback welcome :)
Regards,
Jaques

Post by Leon Palafox
Hello, I just finished with most of the edits.
Regards

Post by Didier Vila
All, thanks for your good work. I just completed the form as an user (
and not core). Didier****
** **
Didier Vila, PhD | Risk | CapQuest Group Ltd | Fleet 27 | Rye
Close | Fleet | Hampshire | GU51 2QQ | Tel: [phone] | Fax: [phone]
** **
*Sent:* 17 January 2013 13:18
*Subject:* Re: [Scikit-learn-general] Roadmap / Scope****
** **
Hello,****
** **
I have some sort of form ready in google docs.****
** **
https://docs.google.com/spreadsheet/viewform?formkey=dFdyeGNhMzlCRWZUdldpMEZlZ1B1YkE6MQ
****
** **
Let me know your suggestions****
** **
Leon****
** **
On Thu, Jan 17, 2013 at 10:13 PM, Andreas Mueller <
Hi all.
Leon, did you set up a Forms already?
Do we have any more ideas for questions?
I think we should start voting on them if we want to get it ready for
the release.****
Cheers,
Andy
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****
** **
--
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PhD Candidate
Iba Laboratory****
[phone]****
University of Tokyo
Tokyo, Japan.****
** **
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[Lars Buitinck]

I'm not one for web design, but we usually spell scikit-learn
all-lowercase, and certainly never with a capital L. Also, I prefer
"scikit-learn" to "the scikit-learn", but I'm under the impression that the
French devs on the team prefer the latter ;)

Post by unknown
Hey guys.. I need some feedback from ya'll on the banner..
This is a very simple quick one, just to get a feedback base going.
Let me know regarding position, size, text, colour etc.
[image: Imágenes integradas 1]
All feedback welcome :)
Regards,
Jaques

Post by Leon Palafox
Hello, I just finished with most of the edits.
Regards

Post by Didier Vila
All, thanks for your good work. I just completed the form as an user (
and not core). Didier****
** **
Didier Vila, PhD | Risk | CapQuest Group Ltd | Fleet 27 | Rye
Close | Fleet | Hampshire | GU51 2QQ | Tel: [phone] | Fax: [phone]
** **
*Sent:* 17 January 2013 13:18
*Subject:* Re: [Scikit-learn-general] Roadmap / Scope****
** **
Hello,****
** **
I have some sort of form ready in google docs.****
** **
https://docs.google.com/spreadsheet/viewform?formkey=dFdyeGNhMzlCRWZUdldpMEZlZ1B1YkE6MQ
****
** **
Let me know your suggestions****
** **
Leon****
** **
On Thu, Jan 17, 2013 at 10:13 PM, Andreas Mueller <
Hi all.
Leon, did you set up a Forms already?
Do we have any more ideas for questions?
I think we should start voting on them if we want to get it ready for
the release.****
Cheers,
Andy
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[phone]****
University of Tokyo
Tokyo, Japan.****
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[phone]
University of Tokyo
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[Andreas Mueller]

Post by Lars Buitinck
I'm not one for web design, but we usually spell scikit-learn
all-lowercase, and certainly never with a capital L. Also, I prefer
"scikit-learn" to "the scikit-learn", but I'm under the impression
that the French devs on the team prefer the latter ;)

+1 for all lowercase.

[Didier Vila]

My comment is that there are two much boxes on the top of the screen : one box should be good.



Didier Vila, PhD | Risk | CapQuest Group Ltd | Fleet 27 | Rye Close | Fleet | Hampshire | GU51 2QQ | Tel: [phone] | Fax: [phone] | Email: ***@capquestco.com <mailto:***@capquestco.com>



From: Jaques Grobler [mailto:***@gmail.com]
Sent: 18 January 2013 13:47
To: Scikit-Learn Mailing List
Subject: Re: [Scikit-learn-general] Roadmap / Scope



Hey guys.. I need some feedback from ya'll on the banner..

This is a very simple quick one, just to get a feedback base going.

Let me know regarding position, size, text, colour etc.







All feedback welcome :)



Regards,

Jaques



2013/1/18 Leon Palafox <***@gmail.com>

Hello, I just finished with most of the edits.



Regards



On Fri, Jan 18, 2013 at 7:30 AM, Didier Vila <***@capquestco.com> wrote:

All, thanks for your good work. I just completed the form as an user ( and not core). Didier



Didier Vila, PhD | Risk | CapQuest Group Ltd | Fleet 27 | Rye Close | Fleet | Hampshire | GU51 2QQ | Tel: [phone] | Fax: [phone] | Email: ***@capquestco.com <mailto:***@capquestco.com>



From: Leon Palafox [mailto:***@gmail.com]
Sent: 17 January 2013 13:18
To: scikit-learn-***@lists.sourceforge.net
Subject: Re: [Scikit-learn-general] Roadmap / Scope



Hello,



I have some sort of form ready in google docs.



https://docs.google.com/spreadsheet/viewform?formkey=dFdyeGNhMzlCRWZUdldpMEZlZ1B1YkE6MQ



Let me know your suggestions



Leon



On Thu, Jan 17, 2013 at 10:13 PM, Andreas Mueller <***@ais.uni-bonn.de> wrote:

Hi all.
Leon, did you set up a Forms already?

Do we have any more ideas for questions?
I think we should start voting on them if we want to get it ready for
the release.


Cheers,
Andy

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--
Leon Palafox, M.Sc
PhD Candidate
Iba Laboratory

[phone] <tel:%2B81-3-5841-8436>

University of Tokyo
Tokyo, Japan.




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PhD Candidate
Iba Laboratory

[phone] <tel:%2B81-3-5841-8436>

University of Tokyo
Tokyo, Japan.




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[Andreas Mueller]

Hi Leon.
I'd really like to get this finished now.
Could you maybe send me the info to edit the form and get the results?
Thanks,
Andy

Post by Leon Palafox
Hello,
I have some sort of form ready in google docs.
https://docs.google.com/spreadsheet/viewform?formkey=dFdyeGNhMzlCRWZUdldpMEZlZ1B1YkE6MQ
Let me know your suggestions
Leon
On Thu, Jan 17, 2013 at 10:13 PM, Andreas Mueller
Hi all.
Leon, did you set up a Forms already?
Do we have any more ideas for questions?
I think we should start voting on them if we want to get it ready for
the release.
Cheers,
Andy
------------------------------------------------------------------------------
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--
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PhD Candidate
Iba Laboratory
[phone]
University of Tokyo
Tokyo, Japan.
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[Olivier Grisel]

Post by Andreas Mueller

Post by Olivier Grisel
+1 We need to come up with a survey form using google doc's form (now
renamed to google drive forms) and advertise it here and over our
social networks.
http://google.about.com/od/toolsfortheoffice/ss/forms_googledoc.htm

Why not surveymonkey? I haven't used google doc forms but I found
surveymonkey working quite well.

Because google forms is completely free. The free plan of surveymonkey
is limited to 100 answers:

http://surveymonkey.com/pricing/upgrade/quickview/

Post by Andreas Mueller

Post by Olivier Grisel
Any volunteer to start a draft?
We should embargo its diffusion over social networks until we agree on
the questions but we can share it on the mailing list to
collaboratively edit / review the survey together.

what do you think about publishing it on the website?
Not sure we reach a sensible fraction of the users over social media / ML.

We should do both.

--
Olivier
http://twitter.com/ogrisel - http://github.com/ogrisel

[Jake Vanderplas]

Hi all,
One component of a good roadmap would be to make sure we emphasize good
implementations of fundamental ML algorithms. One area I'd like to work
on is density estimation: KDE in particular is an important component of
a wide variety of algorithms, and there is not (to my knowledge) a good
flexible & scalable KDE implementation currently in the scipy universe.
I think we're well-poised to offer that, but it would require an
improved ball tree/kd tree implementation. I have some good ideas about
how to do this, but need to find the time to make it happen.

If there are any other fundamental algorithms that sklearn is currently
weak in, we should keep those in mind as well.
Jake

Post by Andreas Mueller

Post by Andreas Mueller
I wanted to ask: should we try to make plans? We get a lot of

PRs and

Post by Andreas Mueller
have more and more contributors and I think it might be nice
if we had some form of road map to give everything a bit more

direction.

Post by Andreas Mueller
I know that people mostly contribute algorithms they are using

in research,

Post by Andreas Mueller
and that is great, because that makes for high-quality code.
I am not sure, though, for how long the "hey look, I coded this cool
estimator which I used in my latest paper" strategy is feasible.

What we could do is determine a focus for the next release other than
* implement Python 3 support
* fix outstanding API issues, like sparse matrix support for some estimators.
That would be a step towards a 1.0.
--
Lars Buitinck
Scientific programmer, ILPS
University of Amsterdam
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I would say to not worry about the addition of algorithms, and have
1.0 as being a API/python3/sparse release as Lars said.
I don't think that holding off a big release because it doesn't
contain algorithm X is a good idea, as there are plenty of algorithms
we don't have yet, even important ones (depending on your definition
of important).
- Robert
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[Gael Varoquaux]

One area I'd like to work on is density estimation: KDE in particular
is an important component of a wide variety of algorithms, and there is
not (to my knowledge) a good flexible & scalable KDE implementation
currently in the scipy universe. I think we're well-poised to offer
that, but it would require an improved ball tree/kd tree
implementation.

Density estimation would be great, and it fits well in the API of the
scikit. Definitely +1, but it's a case of finding the right person that
has an itch to scratch (hint ;} ).

G

[Olivier Grisel]

Post by Lars Buitinck

Post by Andreas Mueller
I wanted to ask: should we try to make plans? We get a lot of PRs and
have more and more contributors and I think it might be nice
if we had some form of road map to give everything a bit more direction.
I know that people mostly contribute algorithms they are using in research,
and that is great, because that makes for high-quality code.
I am not sure, though, for how long the "hey look, I coded this cool
estimator which I used in my latest paper" strategy is feasible.

What we could do is determine a focus for the next release other than
* implement Python 3 support

+10

Post by Lars Buitinck
* fix outstanding API issues, like sparse matrix support for some estimators.

+1 for instance a sparse version of `MinMaxScaler` for instance :)

Also I would add:

- finish the current ongoing effort on ensemble methods like boosting
and I would add stacking / blending as this kind of meta estimators
might help us identify missing API patterns / requirements that are
structurally important for the project (for instance the boosting
implementation emphasized the importance of consistent handling of the
sample_weight fit parameter).

- finish the ongoing effort on model evaluation / selection tools
(mostly grid search related stuff and maybe a tool to help plot
learning curves for bias/variance analysis)

- shall we standardize the warm start pattern officially and leverage
it in model evaluation tools (e.g. to plot learning curves faster for
instance)?

- have some examples for online learning on realistic large scale data
(gael started with a new minibatch k-means example on patch data, and
I think the new hashing feature extraction for categorical / text data
will make it possible to showcase realistic sentiment analysis task
for instance. Being able to address streaming problem might help us
identify further API design issues (e.g. is the current API flexible
enough to efficiently implement streaming cross validation / early
stopping with a user supplied validation set)?

- maybe also finish experimenting and include at least one learning to
rank model such as a SVMRank implementation to ensure that we can
address this case with a consistent API (e.g. the query_id pattern).

I think we can consider that graphical model in general is a bit
off-scope for the project. I think the core team of regular
contributors / PR reviewers lack either expertise or motivation to
embark on such a large new field.

Structured prediction problems and recsys tasks would be interesting
but I am afraid we would require a team of dedicated volunteer to
invest some time to implement the base line / state of the art while
working out the best API design issues. We should probably not wait
for that to release 1.0.

--
Olivier
http://twitter.com/ogrisel - http://github.com/ogrisel

[Rob Zinkov]

+1 on those suggestions

My impression is the core value of sklearn is being readily useful to
practitioners of machine learning algorithms. We shouldn't be afraid to
deprecate modules that aren't being used. I think much of the core effort
will be in making the library more internally consistent, and defining how
we want the library to interact with other libraries such as scikits.image.

Just my 2 cents

Post by Andreas Mueller

Post by Andreas Mueller
I wanted to ask: should we try to make plans? We get a lot of PRs and
have more and more contributors and I think it might be nice
if we had some form of road map to give everything a bit more direction.
I know that people mostly contribute algorithms they are using in

research,

Post by Andreas Mueller
and that is great, because that makes for high-quality code.
I am not sure, though, for how long the "hey look, I coded this cool
estimator which I used in my latest paper" strategy is feasible.

What we could do is determine a focus for the next release other than
* implement Python 3 support
* fix outstanding API issues, like sparse matrix support for some estimators.
That would be a step towards a 1.0.
--
Lars Buitinck
Scientific programmer, ILPS
University of Amsterdam
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[Gael Varoquaux]

Post by Lars Buitinck
What we could do is determine a focus for the next release other than
* implement Python 3 support
* fix outstanding API issues, like sparse matrix support for some estimators.

I agree, but I am not sure that this would work, as people are excited
about certain things but not others. Ideally this is the right scope for
a sprint (we need to organize a new one, and I need to start looking for
money).

G

[unknown]

--20cf306f7258cc2d4104d390594d
Content-Type: multipart/alternative; boundary cf306f7258cc2d3f04d390594c

--20cf306f7258cc2d3f04d390594c
Content-Type: text/plain; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

Hey guys.. I need some feedback from ya'll on the banner..
This is a very simple quick one, just to get a feedback base going.
Let me know regarding position, size, text, colour etc.

[image: Imágenes integradas 1]

All feedback welcome :)

Regards,
Jaques

Post by Leon Palafox
Hello, I just finished with most of the edits.
Regards

Post by Didier Vila
All, thanks for your good work. I just completed the form as an user (
and not core). Didier****
** **
Didier Vila, PhD | Risk | CapQuest Group Ltd | Fleet 27 | Rye
Close | Fleet | Hampshire | GU51 2QQ | Tel: [phone] | Fax: [phone]
** **
*Sent:* 17 January 2013 13:18
*Subject:* Re: [Scikit-learn-general] Roadmap / Scope****
** **
Hello,****
** **
I have some sort of form ready in google docs.****
** **
https://docs.google.com/spreadsheet/viewform?formkey=dFdyeGNhMzlCRWZUdldpMEZlZ1B1YkE6MQ
****
** **
Let me know your suggestions****
** **
Leon****
** **
On Thu, Jan 17, 2013 at 10:13 PM, Andreas Mueller <
Hi all.
Leon, did you set up a Forms already?
Do we have any more ideas for questions?
I think we should start voting on them if we want to get it ready for
the release.****
Cheers,
Andy
------------------------------------------------------------------------------
Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, CSS,
MVC, Windows 8 Apps, JavaScript and much more. Keep your skills current**
**
with LearnDevNow - 3,200 step-by-step video tutorials by Microsoft
http://p.sf.net/sfu/learnmore_122712****
_______________________________________________
Scikit-learn-general mailing list
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general****
****
** **
--
Leon Palafox, M.Sc
PhD Candidate
Iba Laboratory****
[phone]****
University of Tokyo
Tokyo, Japan.****
** **
------------------------------------------------------------------------------
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--
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PhD Candidate
Iba Laboratory
[phone]
University of Tokyo
Tokyo, Japan.
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--20cf306f7258cc2d3f04d390594c
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Content-Transfer-Encoding: quoted-printable <div dir="ltr">Hey guys.. I need some feedback from ya&#39;ll on the banner..<div>This is a very simple quick one, just to get a feedback base going.</div><div>Let me know regarding position, size, text, colour etc.</div><div> <br></div><div><img src="cid:ii_13c4de9643d8ab0d" alt="Im?genes integradas 1" width="662" height="369"><br></div><div><br></div><div>All feedback welcome :)</div><div><br></div><div>Regards,</div><div>Jaques</div></div><div class="gmail_extra"> <br><br><div class="gmail_quote">2013/1/18 Leon Palafox <span dir="ltr">&lt;<a href="mailto:***@gmail.com" target="_blank">***@gmail.com</a>&gt;</span><br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"> <div dir="ltr">Hello, I just finished with most of the edits.<div><br></div><div>Regards</div></div><div class="HOEnZb"><div class="h5"><div class="gmail_extra"><br><br><div class="gmail_quote">On Fri, Jan 18, 2013 at 7:30 AM, Didier Vila <span dir="ltr">&lt;<a href="mailto:***@capquestco.com" target="_blank">***@capquestco.com</a>&gt;</span> wrote:<br> <blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div lang="EN-GB" link="blue" vlink="purple"><div><p class="MsoNormal"><span style="font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">All, thanks for your good work. I just completed the form�� as an user ( and not core). Didier<u></u><u></u></span></p> <p class="MsoNormal"><span style="font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d"><u></u>�<u></u></span></p><p class="MsoNormal"><span lang="EN-US" style="font-size:10.0pt;font-family:&quot;Arial&quot;,&quot;sans-serif&quot;;color:gray">Didier Vila, PhD | Risk | CapQuest Group Ltd |�Fleet 27�|�Rye Close�|�Fleet | Hampshire | GU51 2QQ | Tel: [phone] | Fax: [phone]�| Email: <a href="mailto:***@capquestco.com" target="_blank"><span style="color:gray">***@capquestco.com</span></a> <u></u><u></u></span></p> <p class="MsoNormal"><span style="font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d"><u></u>�<u></u></span></p><div style="border:none;border-top:solid #b5c4df 1.0pt;padding:3.0pt 0cm 0cm 0cm"> <p class="MsoNormal"><b><span lang="EN-US" style="font-size:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span lang="EN-US" style="font-size:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;"> Leon Palafox [mailto:<a href="mailto:***@gmail.com" target="_blank">***@gmail.com</a>] <br> <b>Sent:</b> 17 January 2013 13:18<br><b>To:</b> <a href="mailto:scikit-learn-***@lists.sourceforge.net" target="_blank">scikit-learn-***@lists.sourceforge.net</a><br><b>Subject:</b> Re: [Scikit-learn-general] Roadmap / Scope<u></u><u></u></span></p> </div><div><div><p class="MsoNormal"><u></u>�<u></u></p><div><p class="MsoNormal">Hello,<u></u><u></u></p><div><p class="MsoNormal"><u></u>�<u></u></p></div><div><p class="MsoNormal">I have some sort of form ready in google docs.<u></u><u></u></p> </div><div><p class="MsoNormal"><u></u>�<u></u></p></div><div><p class="MsoNormal"><a href="https://docs.google.com/spreadsheet/viewform?formkey=dFdyeGNhMzlCRWZUdldpMEZlZ1B1YkE6MQ" target="_blank">https://docs.google.com/spreadsheet/viewform?formkey=dFdyeGNhMzlCRWZUdldpMEZlZ1B1YkE6MQ</a><u></u><u></u></p> </div><div><p class="MsoNormal"><u></u>�<u></u></p></div><div><p class="MsoNormal">Let me know your suggestions<u></u><u></u></p></div><div><p class="MsoNormal"><u></u>�<u></u></p></div><div><p class="MsoNormal">Leon<u></u><u></u></p> </div></div><div><p class="MsoNormal" style="margin-bottom:12.0pt"><u></u> <u></u></p><div><p class="MsoNormal">On Thu, Jan 17, 2013 at 10:13 PM, Andreas Mueller &lt;<a href="mailto:***@ais.uni-bonn.de" target="_blank">***@ais.uni-bonn.de</a>&gt; wrote:<u></u><u></u></p>


<p class="MsoNormal">Hi all.<br>Leon, did you set up a Forms already?<br><br>Do we have any more ideas for questions?<br>I think we should start voting on them if we want to get it ready for<br>the release.<u></u><u></u></p>


<div><p class="MsoNormal"><br>Cheers,<br>Andy<br><br>------------------------------------------------------------------------------<br>Master Visual Studio, SharePoint, SQL, <a href="http://ASP.NET" target="_blank">ASP.NET</a>, C# 2012, HTML5, CSS,<br>


MVC, Windows 8 Apps, JavaScript and much more. Keep your skills current<u></u><u></u></p></div><p class="MsoNormal">with LearnDevNow - 3,200 step-by-step video tutorials by Microsoft<br>MVPs and experts. ON SALE this month only -- learn more at:<br>


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<a href="mailto:Scikit-learn-***@lists.sourceforge.net" target="_blank">Scikit-learn-***@lists.sourceforge.net</a><br><a href="https://lists.sourceforge.net/lists/listinfo/scikit-learn-general" target="_blank">https://lists.sourceforge.net/lists/listinfo/scikit-learn-general</a><u></u><u></u></p>


</div></div></div><p class="MsoNormal"><br><br clear="all"><u></u><u></u></p><div><p class="MsoNormal"><u></u> <u></u></p></div><p class="MsoNormal">-- <br>Leon Palafox, M.Sc<br>PhD Candidate<br>Iba Laboratory<u></u><u></u></p>


<div><p class="MsoNormal"><a href="tel:%2B81-3-5841-8436" value="[phone]" target="_blank">[phone]</a><u></u><u></u></p><div><p class="MsoNormal">University of Tokyo<br>Tokyo, Japan.<u></u><u></u></p></div></div>


<p class="MsoNormal"><u></u> <u></u></p></div></div></div></div></div><br>------------------------------------------------------------------------------<br>
Master Visual Studio, SharePoint, SQL, <a href="http://ASP.NET" target="_blank">ASP.NET</a>, C# 2012, HTML5, CSS,<br>
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with LearnDevNow - 3,200 step-by-step video tutorials by Microsoft<br>
MVPs and experts. ON SALE this month only -- learn more at:<br>
<a href="http://p.sf.net/sfu/learnmore_122712" target="_blank">http://p.sf.net/sfu/learnmore_122712</a><br>_______________________________________________<br>
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<br></blockquote></div><br><br clear="all"><div><br></div>-- <br>Leon Palafox, M.Sc<br style="text-indent:0px!important">PhD Candidate<br style="text-indent:0px!important">Iba Laboratory<div><a href="tel:%2B81-3-5841-8436" value="[phone]" target="_blank">[phone]</a><div>
University of Tokyo<br style="text-indent:0px!important">

Tokyo, Japan.</div></div><br><div style="display:inline"></div>
</div>
</div></div><br>------------------------------------------------------------------------------<br>
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<br></blockquote></div><br></div>

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p+g1bw0AAAAASUVORK5CYII

[Gael Varoquaux]

Hi all,

I have been delaying joining this discussion because I didn't have enough
mental bandwidth to contribute something useful. Grant submission
deadline is passed, and we have made good progress on the release, so
I can try giving some input.

Post by Andreas Mueller
TL;DR version: do we want to plan for the future?

My TL;DR version: partly yes: we want a clear-cut 'vision' to attract
people and avoid going in random direction.

Thanks for raising these issue Andy, I believe that it is very important
that projects learn to define their scope and vision. This is what makes
a good product and a good community. On the other hand, I don't believe
in planned features for an open-source project, because features depend
on the goodwill of the developers, and these come on go. Also, I don't
think that an open-source project is a democracy governed by the users.
I believe that it is a doacracy. Thus having a list of features that
people want is not the right way to tackle the problem: the right way is
to find a compromise between a consistent product and excited
contributors that have itches to scratch.

Post by Andreas Mueller
There is some vague idea, pushed mainly by Gaël that we want to do a
1.0 in the not-so-far future, but there is no list of features that we
want

Yeah, that would be great. My biggest priority there is API freeze.

Post by Andreas Mueller
I'm thinking mainly about ranking, collaborative filtering, structured
prediction (in particular sequences),
metric learning, graphical models (and some more).

I would like all of these :). However, they might require specific APIs,
and thus I think that they should be carefully discussed on a case by
case, and deferred to after the 1.0 release. Our general API is our most
precious feature, after our code quality.

Thanks for moving the discussion forward, Andy, I'll answer more points
in the thread itself.

Gaël