SIGs/ML

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= Machine Learning SIG =
 
= Machine Learning SIG =
The Machine Learning SIG, aims to make Fedora the best platform for all things related to [http://en.wikipedia.org/wiki/Machine_learning Machine Learning].
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The Machine Learning SIG's goal is to make Fedora the best platform for all things related to [http://en.wikipedia.org/wiki/Machine_learning Machine Learning]. We aim to act a hub in the gap between the Astronomy, Bigdata, Fedora Medical and Science and Technology SIGs.
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== Members ==
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[[User:besser82|Björn Esser (besser82)]] <[mailto:besser82@fedoraproject.org besser82@fedoraproject.org]>
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[[User:kushal124|Kushal Khandelwal (kushal124)]] <[mailto:kushalkhandelwal10@gmail.com kushalkhandelwal10@gmail.com]>
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[[User:lupinix|Christian Dersch (lupinix)]] <[mailto:chrisdersch@gmail.com chrisdersch@gmail.com]>
  
 
= Machine Learning Packages =
 
= Machine Learning Packages =
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== Interesting software waiting for being packaged ==
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* [https://pypi.python.org/pypi/bob bob - free signal-processing and machine learning toolbox]
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* [https://pypi.python.org/pypi/copper copper - Fast, easy and intuitive machine learning prototyping]
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* [https://pypi.python.org/pypi/ease ease - Machine learning based automated text classification library]
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* [https://pypi.python.org/pypi/hyperspy hyperspy - Hyperspectral data analysis toolbox]
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* [https://pypi.python.org/pypi/infer infer - machine learning toolkit for classification and assisted experimentation]
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* [http://java-ml.sourceforge.net/ Java-ML]
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* [https://pypi.python.org/pypi/milk milk - Machine Learning Toolkit]
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* [https://pypi.python.org/pypi/MLizard MLizard - Machine Learning workflow automatization]
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* [http://mlpy.sourceforge.net/ mlpy - Machine Learning Python]
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* [https://pypi.python.org/pypi/mmlf Maja Machine Learning Framework]
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* [https://pypi.python.org/pypi/Monte Monte - machine learning in pure Python]
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* [https://pypi.python.org/pypi/nolearn nolearn - Miscellaneous utilities for machine learning]
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* [https://pypi.python.org/pypi/pcSVM pcSVM]
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* [https://pypi.python.org/pypi/Peach Peach - Python library for computational intelligence and machine learning]
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* [http://pybrain.org/ PyBrain]
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* [http://pyml.sourceforge.net/ PyML]
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* [https://pypi.python.org/pypi/ramp Rapid Machine Learning Prototyping]
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* [https://pypi.python.org/pypi/Reinforcement-Learning-Toolkit Reinforcement-Learning-Toolkit]
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* [https://pypi.python.org/pypi/tradingmachine tradingmachine - backtester for financial algorithms]
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* [http://sourceforge.net/projects/weka/ Weka - Machine Learning Software in Java]
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* [https://pypi.python.org/pypi/zipline zipline - backtester for financial algorithms]
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== Work in progress ==
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{|
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! Package !! People involved !! Status !! Notes
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|-
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| [http://mahout.apache.org/ Apache Mahout] || [[User:Besser82 | besser82]]  || WIP ||
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|-
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| [https://pypi.python.org/pypi/astroML astroML] || [[User:lupinix|lupinix]] || WIP ||
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|-
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| [http://orange.biolab.si/ Orange] || [[User:Besser82 | besser82]] || WIP || depends on [[rhbug:1000829 | LINPACK]]
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|-
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| [http://www.clips.ua.ac.be/pages/pattern Pattern - Web mining module for Python] || [[User:kushal124|kushal124]] || WIP ||
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|-
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| [http://scikit-learn.org/ scikit-learn - Machine Learning in Python] ||  || review done, but needs unbundling  || depends on [[rhbug:999823 | unbundling]]
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|-
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| [http://shogun-toolbox.org/ SHOGUN] || [[User:Besser82 | besser82]] || DONE || [[User:Besser82/Changes/shogun | upcoming feature for F21]] Imported && Build
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|}
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== New packages ==
  
 
When submitting a new ml-related package for review, please add "Blocks: [[rhbug:ML-SIG|ML-SIG]]" to your review-request.  After the review has been granted don't forget to remove it, when filing the SCM-request, please.
 
When submitting a new ml-related package for review, please add "Blocks: [[rhbug:ML-SIG|ML-SIG]]" to your review-request.  After the review has been granted don't forget to remove it, when filing the SCM-request, please.
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</pre>
 
</pre>
  
== Existing packages and work in progress ==
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== Packages waiting for your review ==
  
more to come soon.
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You can find them on the [[rhbug:ML-SIG|ML-SIG review-tracker]].
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We would be glad, if you would take one or a few.  :)
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== Existing packages ==
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You can find the existing [https://admin.fedoraproject.org/pkgdb/users/packages/ml-sig ml-related packages on the PkgDB].
  
 
== Categories ==
 
== Categories ==
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There is no formal process for participating; joining the mailing list, hanging out on IRC, or participating in meetings are all fantastic ways to get involved.
 
There is no formal process for participating; joining the mailing list, hanging out on IRC, or participating in meetings are all fantastic ways to get involved.
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A little self-introduction on the mailing list would be nice, too. And, if you want to, add yourself to [[SIGs/ML#Members | our members-section above]].
  
 
== Mailing list ==
 
== Mailing list ==

Latest revision as of 11:05, 19 December 2013

Contents

[edit] Machine Learning SIG

The Machine Learning SIG's goal is to make Fedora the best platform for all things related to Machine Learning. We aim to act a hub in the gap between the Astronomy, Bigdata, Fedora Medical and Science and Technology SIGs.

[edit] Members

Björn Esser (besser82) <besser82@fedoraproject.org>

Kushal Khandelwal (kushal124) <kushalkhandelwal10@gmail.com>

Christian Dersch (lupinix) <chrisdersch@gmail.com>

[edit] Machine Learning Packages

[edit] Interesting software waiting for being packaged

[edit] Work in progress

Package People involved Status Notes
Apache Mahout besser82 WIP
astroML lupinix WIP
Orange besser82 WIP depends on LINPACK
Pattern - Web mining module for Python kushal124 WIP
scikit-learn - Machine Learning in Python review done, but needs unbundling depends on unbundling
SHOGUN besser82 DONE upcoming feature for F21 Imported && Build

[edit] New packages

When submitting a new ml-related package for review, please add "Blocks: ML-SIG" to your review-request. After the review has been granted don't forget to remove it, when filing the SCM-request, please.

When you are filing your SCM-admin-request, you should make sure to request InitialCC for "ml-sig".

Example:

New Package SCM Request
=======================
Package Name: pkgname
Short Description: summary of package
Owners: foo bar
Branches: f18 f19 f20 el5 el6
InitialCC: ml-sig

[edit] Packages waiting for your review

You can find them on the ML-SIG review-tracker.

We would be glad, if you would take one or a few.  :)

[edit] Existing packages

You can find the existing ml-related packages on the PkgDB.

[edit] Categories

more to come soon.

[edit] What are we going to do?

more to come soon.

[edit] Participation

There is no formal process for participating; joining the mailing list, hanging out on IRC, or participating in meetings are all fantastic ways to get involved.

A little self-introduction on the mailing list would be nice, too. And, if you want to, add yourself to our members-section above.

[edit] Mailing list

[edit] IRC

We will likely hang out on irc.freenode.net at #fedora-ml. German members may want to come into #fedora-ml-de, too.

Haven't used IRC for communication before? More information on how to use IRC is available here.

[edit] Meetings

We shall have them, and see how it goes.

more to come soon.