< SIGs
| Line 34: | Line 34: | ||
== Work in progress == | == Work in progress == | ||
{| | |||
! Package !! People involved !! Status | |||
|- | |||
| [http://mahout.apache.org/ Apache Mahout] || [[User:Besser82 | besser82]] || WIP | |||
|- | |||
| [https://pypi.python.org/pypi/astroML astroML] || || | |||
|- | |||
| [http://orange.biolab.si/ Orange] || [[User:Besser82 | besser82]] || WIP, depends on [[rhbug:1000829 | LINPACK]] | |||
|- | |||
| [http://www.clips.ua.ac.be/pages/pattern Pattern - Web mining module for Python] || [[User:Besser82/Changes/shogun | besser82]] || WIP | |||
|- | |||
| [http://scikit-learn.org/ scikit-learn - Machine Learning in Python] || || WIP, depends on [[rhbug:999823 | unbundling]] | |||
|- | |||
| [http://shogun-toolbox.org/ SHOGUN] || [[User:Besser82 | besser82]] || WIP, [[User:Besser82/Changes/shogun | upcoming feature for F21 (depends on upstream's next release)]] | |||
|} | |||
== New packages == | == New packages == | ||
Revision as of 15:13, 24 September 2013
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.
Members
Björn Esser (besser82) <besser82@fedoraproject.org>
Machine Learning Packages
Interesting software waiting for being packaged
- bob - free signal-processing and machine learning toolbox
- copper - Fast, easy and intuitive machine learning prototyping
- ease - Machine learning based automated text classification library
- hyperspy - Hyperspectral data analysis toolbox
- infer - machine learning toolkit for classification and assisted experimentation
- Java-ML
- milk - Machine Learning Toolkit
- MLizard - Machine Learning workflow automatization
- mlpy - Machine Learning Python
- Maja Machine Learning Framework
- Monte - machine learning in pure Python
- nolearn - Miscellaneous utilities for machine learning
- pcSVM
- Peach - Python library for computational intelligence and machine learning
- PyBrain
- PyML
- Rapid Machine Learning Prototyping
- Reinforcement-Learning-Toolkit
- tradingmachine - backtester for financial algorithms
- Weka - Machine Learning Software in Java
- zipline - backtester for financial algorithms
Work in progress
| Package | People involved | Status |
|---|---|---|
| Apache Mahout | besser82 | WIP |
| astroML | ||
| Orange | besser82 | WIP, depends on LINPACK |
| Pattern - Web mining module for Python | besser82 | WIP |
| scikit-learn - Machine Learning in Python | WIP, depends on unbundling | |
| SHOGUN | besser82 | WIP, upcoming feature for F21 (depends on upstream's next release) |
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
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. :)
Existing packages
You can find the existing ml-related packages on the PkgDB.
Categories
more to come soon.
What are we going to do?
more to come soon.
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.
Mailing list
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.
Meetings
We shall have them, and see how it goes.
more to come soon.