What's your question? ALS has a random starting point which changes the
results a bit. Not sure about KNN though.
On Sun, Mar 17, 2013 at 3:03 AM, Koobas koo...@gmail.com wrote:
Can anybody shed any light on the issue of reproducibility in Mahout,
with and without Hadoop, specifically in the
I am asking the basic reproducibility question.
If I run twice on the same dataset, with the same hardware setup, will I
always get the same resuts?
Or is there any chance that on two different runs, the same user will get
slightly different suggestions?
I am mostly revolving in the space of
If an algorithm has a stochastic/random element, no it won't necessarily
produce the same result, by design. If you can fix the seed of the random
number generator, you should get the same result. Except that if the
process is multi-threaded or distributed, even that doesn't guarantee it --
the
Understood.
Thanks a lot.
On Sun, Mar 17, 2013 at 9:57 AM, Sean Owen sro...@gmail.com wrote:
If an algorithm has a stochastic/random element, no it won't necessarily
produce the same result, by design. If you can fix the seed of the random
number generator, you should get the same result.
Jake
Hi.
Due to my housekeeping matters for other things, I have actually not built
Mahout 0.7 from the trunk code yet, but before doing so,I have tried
Mahout-0.6 so that I can run LDA straight forward.
I have successfully ran LDA with input as TF vector file wuth 68 iteration
across 43
