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Ashutosh Trivedi commented on SPARK-4038:
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AVF is suited for categorical data. Can
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Ashutosh Trivedi commented on SPARK-2336:
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Hi, [~mengxr] We are going through the
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Ashutosh Trivedi commented on SPARK-2335:
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Hi [~mengxr] do you have any link for
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Ashutosh Trivedi commented on SPARK-2335:
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Hi Brian ,
We extended the
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Ashutosh Trivedi commented on SPARK-4038:
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Idea of a general wrapper is good. One
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Ashutosh Trivedi edited comment on SPARK-4038 at 11/17/14 2:15 AM:
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Ashutosh Trivedi edited comment on SPARK-4038 at 11/17/14 2:18 AM:
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Ashutosh Trivedi commented on SPARK-4038:
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The questions raised are valid and we
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Ashutosh Trivedi edited comment on SPARK-4038 at 11/12/14 10:53 AM:
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Ashutosh Trivedi commented on SPARK-4038:
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similar issue was opened at Mahout
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Ashutosh Trivedi commented on SPARK-4038:
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tagging [~Kaushik619] As he is also
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Ashutosh Trivedi commented on SPARK-2335:
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Thanks [~bgawalt] and [~slcclimber] for
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Ashutosh Trivedi commented on SPARK-2335:
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Hi [~yu_ishikawa],
Have you started
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Ashutosh Trivedi edited comment on SPARK-2335 at 10/27/14 12:03 PM:
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Ashutosh Trivedi commented on SPARK-2335:
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Okay, Can you please assign this to
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Ashutosh Trivedi commented on SPARK-2336:
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Is anybody already working on it ? I
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Ashutosh Trivedi updated SPARK-4038:
Affects Version/s: (was: 1.2.0)
Outlier Detection Algorithm for MLlib
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Ashutosh Trivedi updated SPARK-4038:
Priority: Minor (was: Major)
Outlier Detection Algorithm for MLlib
Ashutosh Trivedi created SPARK-4038:
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Summary: Outlier Detection Algorithm for MLlib
Key: SPARK-4038
URL: https://issues.apache.org/jira/browse/SPARK-4038
Project: Spark
Issue Type: New
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Ashutosh Trivedi updated SPARK-4038:
Description:
The aim of this JIRA is to discuss about which parallel outlier detection
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