[jira] [Assigned] (SPARK-22001) ImputerModel can do withColumn for all input columns at one pass

2017-10-01 Thread Xiao Li (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-22001?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Xiao Li reassigned SPARK-22001:
---

Assignee: Liang-Chi Hsieh

> ImputerModel can do withColumn for all input columns at one pass
> 
>
> Key: SPARK-22001
> URL: https://issues.apache.org/jira/browse/SPARK-22001
> Project: Spark
>  Issue Type: Improvement
>  Components: SQL
>Affects Versions: 2.2.0
>Reporter: Liang-Chi Hsieh
>Assignee: Liang-Chi Hsieh
> Fix For: 2.3.0
>
>
> SPARK-21690 makes one-pass {{Imputer}} by parallelizing the computation of 
> all input columns. When we transform dataset with {{ImputerModel}}, we do 
> {{withColumn}} on all input columns sequentially. We can also do this on all 
> input columns at once.



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[jira] [Assigned] (SPARK-22001) ImputerModel can do withColumn for all input columns at one pass

2017-09-13 Thread Apache Spark (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-22001?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-22001:


Assignee: (was: Apache Spark)

> ImputerModel can do withColumn for all input columns at one pass
> 
>
> Key: SPARK-22001
> URL: https://issues.apache.org/jira/browse/SPARK-22001
> Project: Spark
>  Issue Type: Improvement
>  Components: SQL
>Affects Versions: 2.2.0
>Reporter: Liang-Chi Hsieh
>
> SPARK-21690 makes one-pass {{Imputer}} by parallelizing the computation of 
> all input columns. When we transform dataset with {{ImputerModel}}, we do 
> {{withColumn}} on all input columns sequentially. We can also do this on all 
> input columns at once.



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[jira] [Assigned] (SPARK-22001) ImputerModel can do withColumn for all input columns at one pass

2017-09-13 Thread Apache Spark (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-22001?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-22001:


Assignee: Apache Spark

> ImputerModel can do withColumn for all input columns at one pass
> 
>
> Key: SPARK-22001
> URL: https://issues.apache.org/jira/browse/SPARK-22001
> Project: Spark
>  Issue Type: Improvement
>  Components: SQL
>Affects Versions: 2.2.0
>Reporter: Liang-Chi Hsieh
>Assignee: Apache Spark
>
> SPARK-21690 makes one-pass {{Imputer}} by parallelizing the computation of 
> all input columns. When we transform dataset with {{ImputerModel}}, we do 
> {{withColumn}} on all input columns sequentially. We can also do this on all 
> input columns at once.



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