[jira] [Updated] (SPARK-13322) AFTSurvivalRegression should support feature standardization

2016-04-11 Thread Xiangrui Meng (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-13322?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Xiangrui Meng updated SPARK-13322:
--
Shepherd: Xiangrui Meng  (was: DB Tsai)

> AFTSurvivalRegression should support feature standardization
> 
>
> Key: SPARK-13322
> URL: https://issues.apache.org/jira/browse/SPARK-13322
> Project: Spark
>  Issue Type: Improvement
>  Components: ML
>Reporter: Yanbo Liang
>Assignee: Yanbo Liang
>
> This bug is reported by Stuti Awasthi.
> https://www.mail-archive.com/user@spark.apache.org/msg45643.html
> The lossSum has possibility of infinity because we do not standardize the 
> feature before fitting model, we should support feature standardization.
> Another benefit is that standardization will improve the convergence rate.



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[jira] [Updated] (SPARK-13322) AFTSurvivalRegression should support feature standardization

2016-03-01 Thread Xiangrui Meng (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-13322?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Xiangrui Meng updated SPARK-13322:
--
Shepherd: DB Tsai  (was: Xiangrui Meng)

> AFTSurvivalRegression should support feature standardization
> 
>
> Key: SPARK-13322
> URL: https://issues.apache.org/jira/browse/SPARK-13322
> Project: Spark
>  Issue Type: Improvement
>  Components: ML
>Reporter: Yanbo Liang
>Assignee: Yanbo Liang
>
> This bug is reported by Stuti Awasthi.
> https://www.mail-archive.com/user@spark.apache.org/msg45643.html
> The lossSum has possibility of infinity because we do not standardize the 
> feature before fitting model, we should support feature standardization.
> Another benefit is that standardization will improve the convergence rate.



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[jira] [Updated] (SPARK-13322) AFTSurvivalRegression should support feature standardization

2016-02-22 Thread Xiangrui Meng (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-13322?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Xiangrui Meng updated SPARK-13322:
--
Issue Type: Improvement  (was: Bug)

> AFTSurvivalRegression should support feature standardization
> 
>
> Key: SPARK-13322
> URL: https://issues.apache.org/jira/browse/SPARK-13322
> Project: Spark
>  Issue Type: Improvement
>  Components: ML
>Reporter: Yanbo Liang
>Assignee: Yanbo Liang
>
> This bug is reported by Stuti Awasthi.
> https://www.mail-archive.com/user@spark.apache.org/msg45643.html
> The lossSum has possibility of infinity because we do not standardize the 
> feature before fitting model, we should support feature standardization.
> Another benefit is that standardization will improve the convergence rate.



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[jira] [Updated] (SPARK-13322) AFTSurvivalRegression should support feature standardization

2016-02-22 Thread Xiangrui Meng (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-13322?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Xiangrui Meng updated SPARK-13322:
--
Shepherd: Xiangrui Meng

> AFTSurvivalRegression should support feature standardization
> 
>
> Key: SPARK-13322
> URL: https://issues.apache.org/jira/browse/SPARK-13322
> Project: Spark
>  Issue Type: Improvement
>  Components: ML
>Reporter: Yanbo Liang
>Assignee: Yanbo Liang
>
> This bug is reported by Stuti Awasthi.
> https://www.mail-archive.com/user@spark.apache.org/msg45643.html
> The lossSum has possibility of infinity because we do not standardize the 
> feature before fitting model, we should support feature standardization.
> Another benefit is that standardization will improve the convergence rate.



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[jira] [Updated] (SPARK-13322) AFTSurvivalRegression should support feature standardization

2016-02-17 Thread Xiangrui Meng (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-13322?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Xiangrui Meng updated SPARK-13322:
--
Target Version/s: 2.0.0

> AFTSurvivalRegression should support feature standardization
> 
>
> Key: SPARK-13322
> URL: https://issues.apache.org/jira/browse/SPARK-13322
> Project: Spark
>  Issue Type: Bug
>  Components: ML
>Reporter: Yanbo Liang
>Assignee: Yanbo Liang
>
> This bug is reported by Stuti Awasthi.
> https://www.mail-archive.com/user@spark.apache.org/msg45643.html
> The lossSum has possibility of infinity because we do not standardize the 
> feature before fitting model, we should support feature standardization.
> Another benefit is that standardization will improve the convergence rate.



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[jira] [Updated] (SPARK-13322) AFTSurvivalRegression should support feature standardization

2016-02-17 Thread Xiangrui Meng (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-13322?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Xiangrui Meng updated SPARK-13322:
--
Assignee: Yanbo Liang

> AFTSurvivalRegression should support feature standardization
> 
>
> Key: SPARK-13322
> URL: https://issues.apache.org/jira/browse/SPARK-13322
> Project: Spark
>  Issue Type: Bug
>  Components: ML
>Reporter: Yanbo Liang
>Assignee: Yanbo Liang
>
> This bug is reported by Stuti Awasthi.
> https://www.mail-archive.com/user@spark.apache.org/msg45643.html
> The lossSum has possibility of infinity because we do not standardize the 
> feature before fitting model, we should support feature standardization.
> Another benefit is that standardization will improve the convergence rate.



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[jira] [Updated] (SPARK-13322) AFTSurvivalRegression should support feature standardization

2016-02-16 Thread Yanbo Liang (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-13322?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Yanbo Liang updated SPARK-13322:

Description: 
This bug is reported by Stuti Awasthi.
https://www.mail-archive.com/user@spark.apache.org/msg45643.html
The lossSum has possibility of infinity because we do not standardize the 
feature before fitting model, we should support feature standardization.
Another benefit is that standardization will improve the convergence rate.


  was:
This bug is reported by Stuti Awasthi.
https://www.mail-archive.com/user@spark.apache.org/msg45643.html
The lossSum has possibility of infinity because we do not standardize the 
feature before fitting model, we should support feature standardization.



> AFTSurvivalRegression should support feature standardization
> 
>
> Key: SPARK-13322
> URL: https://issues.apache.org/jira/browse/SPARK-13322
> Project: Spark
>  Issue Type: Bug
>  Components: ML
>Reporter: Yanbo Liang
>
> This bug is reported by Stuti Awasthi.
> https://www.mail-archive.com/user@spark.apache.org/msg45643.html
> The lossSum has possibility of infinity because we do not standardize the 
> feature before fitting model, we should support feature standardization.
> Another benefit is that standardization will improve the convergence rate.



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[jira] [Updated] (SPARK-13322) AFTSurvivalRegression should support feature standardization

2016-02-16 Thread Yanbo Liang (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-13322?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Yanbo Liang updated SPARK-13322:

Description: 
This bug is reported by Stuti Awasthi.
https://www.mail-archive.com/user@spark.apache.org/msg45643.html
The lossSum has possibility of infinity because we do not standardize the 
feature before fitting model, we should support feature standardization.


  was:
This bug is reported by Stuti Awasthi.
https://www.mail-archive.com/user@spark.apache.org/msg45643.html
The lossSum has possibility of infinity because we do not standardize the 
feature before fitting model, we should handle this.



> AFTSurvivalRegression should support feature standardization
> 
>
> Key: SPARK-13322
> URL: https://issues.apache.org/jira/browse/SPARK-13322
> Project: Spark
>  Issue Type: Bug
>  Components: ML
>Reporter: Yanbo Liang
>
> This bug is reported by Stuti Awasthi.
> https://www.mail-archive.com/user@spark.apache.org/msg45643.html
> The lossSum has possibility of infinity because we do not standardize the 
> feature before fitting model, we should support feature standardization.



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[jira] [Updated] (SPARK-13322) AFTSurvivalRegression should support feature standardization

2016-02-16 Thread Yanbo Liang (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-13322?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Yanbo Liang updated SPARK-13322:

Description: 
This bug is reported by Stuti Awasthi.
https://www.mail-archive.com/user@spark.apache.org/msg45643.html
The lossSum has possibility of infinity because we do not standardize the 
feature before fitting model, we should handle this.


  was:
This bug is reported by Stuti Awasthi.
https://www.mail-archive.com/user@spark.apache.org/msg45643.html
The lossSum has possibility of infinity, so we should handle it properly.



> AFTSurvivalRegression should support feature standardization
> 
>
> Key: SPARK-13322
> URL: https://issues.apache.org/jira/browse/SPARK-13322
> Project: Spark
>  Issue Type: Bug
>  Components: ML
>Reporter: Yanbo Liang
>
> This bug is reported by Stuti Awasthi.
> https://www.mail-archive.com/user@spark.apache.org/msg45643.html
> The lossSum has possibility of infinity because we do not standardize the 
> feature before fitting model, we should handle this.



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[jira] [Updated] (SPARK-13322) AFTSurvivalRegression should support feature standardization

2016-02-16 Thread Yanbo Liang (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-13322?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Yanbo Liang updated SPARK-13322:

Summary: AFTSurvivalRegression should support feature standardization  
(was: AFTSurvivalRegression should handle lossSum infinity)

> AFTSurvivalRegression should support feature standardization
> 
>
> Key: SPARK-13322
> URL: https://issues.apache.org/jira/browse/SPARK-13322
> Project: Spark
>  Issue Type: Bug
>  Components: ML
>Reporter: Yanbo Liang
>
> This bug is reported by Stuti Awasthi.
> https://www.mail-archive.com/user@spark.apache.org/msg45643.html
> The lossSum has possibility of infinity, so we should handle it properly.



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