search

sramirez / spark-infotheoretic-feature-selection

This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.
http://sci2s.ugr.es/BigData
Apache License 2.0
134 stars 46 forks source link

Publish on Spark Packages Main Repository #1

Closed brkyvz closed 8 years ago

brkyvz commented 9 years ago

Hi @sramirez,

Would you like to make a release of this package on the Spark Packages Maven Repo as well? There is an sbt-plugin called sbt-spark-package that would help you make the release straight from your sbt console. All you need to do is set a couple configurations.

Publishing on the Spark Packages Repo will bump your ranking on the website, and will fill in the How To section, which users can use to include your package in their work.

Please let me know if you have any comments/questions/suggestions!

Best, Burak

P.S. I bolded as well so that you would at least know that this is not an automatically generated message :)

sparadiso commented 8 years ago

+1 would appreciate maven support.

sramirez commented 8 years ago

Hi, I think it is solved because I uploaded the software to the Spark packages web long time ago:

https://spark-packages.org/package/sramirez/spark-infotheoretic-feature-selection

It is ok for you?