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-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.org
