mahout-user mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Dmitriy Lyubimov <>
Subject Re: is it possible to compute the SVD for a large scale matrix
Date Wed, 06 Apr 2011 18:14:05 GMT
Jake, since we are on the topic, what's the running times of Lanczos
on a ~1G worth sequence file input might be?

On Wed, Apr 6, 2011 at 11:11 AM, Jake Mannix <> wrote:
> On Thu, Mar 24, 2011 at 11:03 PM, Dmitriy Lyubimov <>
> wrote:
>> you can certainly try to write it out into a DRM (distributed row
>> matrix) and run stochastic SVD on  hadoop (off the trunk now). see
>> MAHOUT-593. This is suitable if you have a good decay of singular
>> values (but if you don't it probably just means you have so much noise
>> that it masks the problem you are trying to solve in your data).
> You don't need to run it as stochastic, either.  The regular LanczosSolver
> will work on this data, if it lives as a DRM.
>   -jake

View raw message