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) <
[email protected]> 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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