I created a repository on Github with the source code, the jar file and an
example
https://github.com/Nophiq/Mahout
I can provide you two use cases. In Bioinformatics feature selection is
used to detect which genes mainly affects the result, and in Fraud
Detection feature selection is used to buil
Can you suggest detailed use cases?
In my experience explicit variable selection is not a common strategy in
machine learning at scale. If anything, the use of regularizers has driven
things in another direction entirely.
On Tue, Apr 2, 2013 at 10:34 AM, Claudio Reggiani wrote:
> After one mo
After one month I'd like to know if this new feature is interesting for
Mahout, or I didn't get any reply because nobody noticed it. If it is not
good enough I could first publish it on github on my account.
2013/3/6 Claudio Reggiani (JIRA)
> Claudio Reggiani created MAHOUT-1152:
>
Claudio Reggiani created MAHOUT-1152:
Summary: mRMR feature selection algorithm
Key: MAHOUT-1152
URL: https://issues.apache.org/jira/browse/MAHOUT-1152
Project: Mahout
Issue Type: Improve
