?Okay. I'll try it and post it soon with test case. After that I think we can 
go ahead with the PR.

________________________________
From: slcclimber [via Apache Spark Developers List] 
<ml-node+s1001551n9035...@n3.nabble.com>
Sent: Friday, October 31, 2014 10:03 AM
To: Ashutosh Trivedi (MT2013030)
Subject: Re: [MLlib] Contributing Algorithm for Outlier Detection


Ashutosh,
A vector would be a good idea vectors are used very frequently.
Test data is usually stored in the spark/data/mllib folder

On Oct 30, 2014 10:31 PM, "Ashutosh [via Apache Spark Developers List]" 
<[hidden email]</user/SendEmail.jtp?type=node&node=9035&i=0>> wrote:
Hi Anant,
sorry for my late reply. Thank you for taking time and reviewing it.

I have few comments on first issue.

You are correct on the string (csv) part. But we can not take input of type you 
mentioned. We calculate frequency in our function. Otherwise user has to do all 
this computation. I realize that taking a RDD[Vector] would be general enough 
for all. What do you say?

I agree on rest all the issues. I will correct them soon and post it.
I have a doubt on test cases. Where should I put data while giving test 
scripts? or should i generate synthetic data for testing with in the scripts, 
how does this work?

Regards,
Ashutosh

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