spark-dev mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Ashutosh <ashutosh.triv...@iiitb.org>
Subject Re: [MLlib] Contributing Algorithm for Outlier Detection
Date Fri, 31 Oct 2014 04:31:02 GMT
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



--
View this message in context: http://apache-spark-developers-list.1001551.n3.nabble.com/MLlib-Contributing-Algorithm-for-Outlier-Detection-tp8880p9034.html
Sent from the Apache Spark Developers List mailing list archive at Nabble.com.

---------------------------------------------------------------------
To unsubscribe, e-mail: dev-unsubscribe@spark.apache.org
For additional commands, e-mail: dev-help@spark.apache.org


Mime
View raw message