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Posted to dev@mahout.apache.org by "Sean Owen (Resolved) (JIRA)" <ji...@apache.org> on 2011/10/15 12:15:12 UTC
[jira] [Resolved] (MAHOUT-713) Random Forest Prototypes
[ https://issues.apache.org/jira/browse/MAHOUT-713?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved MAHOUT-713.
------------------------------
Resolution: Won't Fix
I don't think anyone has come forward to work on this, and have no evidence that will happen. Marking WontFix for now.
> Random Forest Prototypes
> ------------------------
>
> Key: MAHOUT-713
> URL: https://issues.apache.org/jira/browse/MAHOUT-713
> Project: Mahout
> Issue Type: New Feature
> Components: Classification
> Reporter: Oleg Levchenko
> Priority: Minor
>
> Below is an explanation by Breinman (http://www.stat.berkeley.edu/~breiman/RandomForests/cc_home.htm#prototype):
> Prototypes are a way of getting a picture of how the variables relate to the classification.
> For the jth class, we find the case that has the largest number of class j cases among its k nearest neighbors, determined using the proximities. Among these k cases we find the median, 25th percentile, and 75th percentile for each variable.
> The medians are the prototype for class j and the quartiles give an estimate of is stability.
> For the second prototype, we repeat the procedure but only consider cases that are not among the original k, and so on.
> Prototypes for continuous variables are standardized by subtractng the 5th percentile and dividing by the difference between the 95th and 5th percentiles.
> For categorical variables, the prototype is the most frequent value.
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Re: [jira] [Resolved] (MAHOUT-713) Random Forest Prototypes
Posted by deneche abdelhakim <ad...@gmail.com>.
Yeah, MAHOUT-835 removed the callbacks from the code, so the suggested
implementation is not relevant any more.
On Sat, Oct 15, 2011 at 11:15 AM, Sean Owen (Resolved) (JIRA) <
jira@apache.org> wrote:
>
> [
> https://issues.apache.org/jira/browse/MAHOUT-713?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel]
>
> Sean Owen resolved MAHOUT-713.
> ------------------------------
>
> Resolution: Won't Fix
>
> I don't think anyone has come forward to work on this, and have no evidence
> that will happen. Marking WontFix for now.
>
> > Random Forest Prototypes
> > ------------------------
> >
> > Key: MAHOUT-713
> > URL: https://issues.apache.org/jira/browse/MAHOUT-713
> > Project: Mahout
> > Issue Type: New Feature
> > Components: Classification
> > Reporter: Oleg Levchenko
> > Priority: Minor
> >
> > Below is an explanation by Breinman (
> http://www.stat.berkeley.edu/~breiman/RandomForests/cc_home.htm#prototype
> ):
> > Prototypes are a way of getting a picture of how the variables relate to
> the classification.
> > For the jth class, we find the case that has the largest number of class
> j cases among its k nearest neighbors, determined using the proximities.
> Among these k cases we find the median, 25th percentile, and 75th percentile
> for each variable.
> > The medians are the prototype for class j and the quartiles give an
> estimate of is stability.
> > For the second prototype, we repeat the procedure but only consider cases
> that are not among the original k, and so on.
> > Prototypes for continuous variables are standardized by subtractng the
> 5th percentile and dividing by the difference between the 95th and 5th
> percentiles.
> > For categorical variables, the prototype is the most frequent value.
>
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> If you think it was sent incorrectly, please contact your JIRA
> administrators:
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>
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