[
https://issues.apache.org/jira/browse/MAHOUT-673?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dmitriy Lyubimov updated MAHOUT-673:
------------------------------------
Summary: Stochastic projection (SSVD) to use 64bit murmur hash to produce
uniform distribution matrix elements (was: Stochastic projection (SSVD) to use
64bit murmur hash to produce uniform distribution vectors)
> Stochastic projection (SSVD) to use 64bit murmur hash to produce uniform
> distribution matrix elements
> -----------------------------------------------------------------------------------------------------
>
> Key: MAHOUT-673
> URL: https://issues.apache.org/jira/browse/MAHOUT-673
> Project: Mahout
> Issue Type: Improvement
> Affects Versions: 0.4
> Reporter: Dmitriy Lyubimov
> Assignee: Dmitriy Lyubimov
> Priority: Minor
> Fix For: 0.6
>
>
> So, per earlier discussion on the list: for random matrix Omega in stochastic
> projection, let's use murmur hash to generate uniformly distributed elements
> in a closed interval [-1,+1] instead of using Random.nextGaussian().
> I am not sure if there's really compelling mathematical reason to do this but
> maybe it's just faster and more inline with practice accepted in Mahout for
> all this.
> The murmur 64bit value is already in the code. I just need to figure the
> optimal way to convert it into a uniform distribution.
--
This message is automatically generated by JIRA.
For more information on JIRA, see: http://www.atlassian.com/software/jira
