Algorithm for Outlier Detection
You could also use rdd.zipWithIndex() to create indexes.
Anant
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Sent: Thursday, November 20, 2014 7:49 AM
To: Ashutosh Trivedi (MT2013030)
Subject: Re: [MLlib] Contributing Algorithm for Outlier Detection
You could also use
You could also use rdd.zipWithIndex() to create indexes.
Anant
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Subject: Re: [MLlib] Contributing Algorithm for Outlier Detection
You could also use rdd.zipWithIndex() to create indexes.
Anant
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List]
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Sent: Monday, November 17, 2014 10:45 AM
To: Ashutosh Trivedi (MT2013030)
Subject: Re: [MLlib] Contributing Algorithm for Outlier Detection
Ashutosh,
The counter will certainly be an parellization issue when multiple nodes are
used specially over
= rdd.zip(index)
Which zips the two RDD's in a parallelizable fashion.
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: Tuesday, November 11, 2014 11:46 PM
To: Ashutosh Trivedi (MT2013030)
Subject: Re: [MLlib] Contributing Algorithm for Outlier Detection
Mayur,
Libsvm format sounds good to me. I could work on writing the tests if that
helps you?
Anant
On Nov 11, 2014 11:06 AM, Ashutosh [via Apache Spark Developers
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Sent: Tuesday, November 11, 2014 11:46 PM
To: Ashutosh Trivedi (MT2013030)
Subject: Re: [MLlib] Contributing Algorithm for Outlier Detection
Mayur,
Libsvm format sounds good to me. I could work on writing the tests if that
helps you?
Anant
On Nov 11, 2014
, November 11, 2014 11:46 PM
To: Ashutosh Trivedi (MT2013030)
Subject: Re: [MLlib] Contributing Algorithm for Outlier Detection
Mayur,
Libsvm format sounds good to me. I could work on writing the tests if that
helps you?
Anant
On Nov 11, 2014 11:06 AM, Ashutosh [via Apache Spark Developers List] [hidden
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Sent: Friday, November 14, 2014 11:42 AM
To: Ashutosh Trivedi (MT2013030)
Subject: Re: [MLlib] Contributing Algorithm for Outlier Detection
Hi,
I have a doubt regarding the input to your algorithm.
_http://www.linkedin.com/home
+s1001551n9239...@n3.nabble.com
Sent: Saturday, November 8, 2014 12:52 PM
To: Ashutosh Trivedi (MT2013030)
Subject: Re: [MLlib] Contributing Algorithm for Outlier Detection
We should take a vector instead giving the user flexibility to decide
data source/ type
What do you mean by vector datatype exactly
:* Saturday, November 8, 2014 12:52 PM
*To:* Ashutosh Trivedi (MT2013030)
*Subject:* Re: [MLlib] Contributing Algorithm for Outlier Detection
We should take a vector instead giving the user flexibility to decide
data source/ type
What do you mean by vector datatype exactly?
Mayur Rustagi
Ph
Trivedi (MT2013030)
Subject: Re: [MLlib] Contributing Algorithm for Outlier Detection
Mayur,
Libsvm format sounds good to me. I could work on writing the tests if that
helps you?
Anant
On Nov 11, 2014 11:06 AM, Ashutosh [via Apache Spark Developers List]
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*Sent:* Friday, October 31, 2014 10:09 AM
*To:* Ashutosh Trivedi (MT2013030)
*Subject:* Re: [MLlib] Contributing Algorithm for Outlier Detection
You
email] http://user/SendEmail.jtp?type=nodenode=9083i=0
*Sent:* Friday, October 31, 2014 10:09 AM
*To:* Ashutosh Trivedi (MT2013030)
*Subject:* Re: [MLlib] Contributing Algorithm for Outlier Detection
You should create a jira ticket to go with it as well.
Thanks
On Oct 30, 2014 10:38 PM
)
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]
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: [MLlib] Contributing Algorithm for Outlier Detection
You should create a jira ticket to go with it as well.
Thanks
On Oct 30, 2014 10:38 PM, Ashutosh [via Apache Spark Developers List]
[hidden email]/user/SendEmail.jtp?type=nodenode=9037i=0 wrote:
?Okay. I'll try it and post it soon with test case
,
Ashutosh Kaushik
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with these issues. Here is the JIRA opened for it.
https://issues.apache.org/jira/browse/SPARK-4038
Regards,
Ashutosh
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For additional
and guidance are welcome.
Thanks,
Ashutosh
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/jira/browse/SPARK-4038
Lets discuss it over there.
Regards,
Ashutosh
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