Is there any way..
Waiting for a reply.I have posted the question every where..but none is
responding back.
I feel like this is the right place to ask doubts. As some of u may came
across the same issue and get stuck.
On Thu, Jan 15, 2015 at 12:34 PM, unmesha sreeveni unmeshab...@gmail.com
wrote:
In KNN like algorithm we need to load model Data into cache for predicting
the records.
Here is the example for KNN.
[image: Inline image 1]
So if the model will be a large file say1 or 2 GB we will be able to load
them into Distributed cache.
The one way is to split/partition the model
have you considered implementing using something like spark? That could be
much easier than raw map-reduce
On Wed, Jan 14, 2015 at 10:06 PM, unmesha sreeveni unmeshab...@gmail.com
wrote:
In KNN like algorithm we need to load model Data into cache for predicting
the records.
Here is the
Yes, One of my friend is implemeting the same. I know global sharing of
Data is not possible across Hadoop MapReduce. But I need to check if that
can be done somehow in hadoop Mapreduce also. Because I found some papers
in KNN hadoop also.
And I trying to compare the performance too.
Hope some
