[Scikit-learn-general] Multiple Instance Learning Scikit learn

JoseM _

2016-03-02 21:48:19 UTC

Hello, i want to ask if exist some Multiple Instance Learning framework done in scikit-learn
Thanks

Subject: Scikit-learn-general Digest, Vol 74, Issue 4
Date: Wed, 2 Mar 2016 20:38:33 +0000
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1. Re: GSoC Project Proposal: Reinforcement Learning Module
(Nadim Farhat)
2. Re: GSoC Project Proposal: Reinforcement Learning Module
(Gael Varoquaux)
3. Re: GSoC Project Proposal: Reinforcement Learning Module
(Sebastian Raschka)
4. Re: circle ci access and setup (Kyle Kastner)
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Message: 1
Date: Wed, 02 Mar 2016 20:02:08 +0000
Reinforcement Learning Module
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I was just thinking the same but , how about just making pipelines to
Theano , TensorFlow ?

I am not a core developer and thus really can?t comment about the scope of
scikit-learn here :P. But I am a curious about how to implement it in
scikit-learn efficiently. I think an implementation based on Theano or
TensorFlow may be a better place for such a module (maybe skflow, which has
a scikit-like API https://github.com/tensorflow/skflow?)

Hello everyone,
As far as I can tell, except PyBrain (which doesn't seem to be actively

developed) there are no reinforcement learning libraries in Python. I was
wondering if community would be interested in using one and making it a
part of scikit-learn. Does it lie within the scope of the project?

- to design common interface, similar to what is used in other parts of

scikit-sklearn;

- to implement established RL algorithms, reliant heavily on estimators

available in scikit-learn;

- and to prepare practical examples of what RL can be used for, to both

supplement documentation and encourage people not yet familiar with RL to
experiment with it in their own projects.

Once again, I would mostly like to know whether it event lies within the

scope of the project, or if it just won't be added because of project
philosophy. Other than that, I would obviously appreciate any feedback.

About me: I am a last master's CS student. My research interests involve

machine learning in general and reinforcement learning in particular; this
year I hope to start my PhD on the latter. My master's thesis revolves
around transfer learning in RL. I have experience with programming in
industry and on large projects.

Cheers,
Micha?

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Message: 2
Date: Wed, 2 Mar 2016 21:06:39 +0100
Reinforcement Learning Module
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Reinforcement learning is an exciting field of machine learning, and you're
right that it seems underrepresented in Python. However, I don't think that it
falls within the strict scope of the scikit-learn API.?

Indeed. There's room for a RL high-quality Python learning package.
Ga?l
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Message: 3
Date: Wed, 2 Mar 2016 15:29:18 -0500
Reinforcement Learning Module
Content-Type: text/plain; charset=utf-8
You mean a scikit-like interface to Theano/Tensorflow? That?s actually what skflow intends to do.

I was just thinking the same but , how about just making pipelines to Theano , TensorFlow ?
I am not a core developer and thus really can?t comment about the scope of scikit-learn here :P. But I am a curious about how to implement it in scikit-learn efficiently. I think an implementation based on Theano or TensorFlow may be a better place for such a module (maybe skflow, which has a scikit-like API https://github.com/tensorflow/skflow?)

Hello everyone,
As far as I can tell, except PyBrain (which doesn't seem to be actively developed) there are no reinforcement learning libraries in Python. I was wondering if community would be interested in using one and making it a part of scikit-learn. Does it lie within the scope of the project?
- to design common interface, similar to what is used in other parts of scikit-sklearn;
- to implement established RL algorithms, reliant heavily on estimators available in scikit-learn;
- and to prepare practical examples of what RL can be used for, to both supplement documentation and encourage people not yet familiar with RL to experiment with it in their own projects.
Once again, I would mostly like to know whether it event lies within the scope of the project, or if it just won't be added because of project philosophy. Other than that, I would obviously appreciate any feedback.
About me: I am a last master's CS student. My research interests involve machine learning in general and reinforcement learning in particular; this year I hope to start my PhD on the latter. My master's thesis revolves around transfer learning in RL. I have experience with programming in industry and on large projects.
Cheers,
Micha?
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Message: 4
Date: Wed, 2 Mar 2016 15:38:24 -0500
Subject: Re: [Scikit-learn-general] circle ci access and setup
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When I was (and still am, sometimes) hacking Circle CI support for
sklearn-theano (https://github.com/sklearn-theano/sklearn-theano/pull/93)
it had an option to have access only to 1 project.
I have been debugging via logs, but there must be a better way, cause it is
really a pain in the neck to debug that way. There is an extra step with
ssh pub/priv keys I think to push the docs from the CircleCI build to the
website, Olivier might know more about that.

Hi all.
Does anyone know how we set up circle ci for scikit-learn?
Vighnesh set up circle ci for the scikit-learn template project, but
that required authorizing circle ci to access his account.
That grants circle ci write access.
If you look at the scikit-learn contrib page, you can see the authorized
https://github.com/organizations/scikit-learn-contrib/settings/oauth_application_policy
https://github.com/organizations/scikit-learn-contrib/settings/oauth_application_policy
I just tried logging in to circle CI just to see what was happening, but
that required authorizing
them to access all my organizations....
Cheers,
Andy
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