[jira] [Updated] (SPARK-4530) GradientDescent get a wrong gradient value according to the gradient formula, which is caused by the miniBatchSize parameter.
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https://issues.apache.org/jira/browse/SPARK-4530?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xiangrui Meng updated SPARK-4530:
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Fix Version/s: 1.2.0
GradientDescent get a wrong gradient value according to the gradient formula,
which is caused by the miniBatchSize parameter.
-
Key: SPARK-4530
URL: https://issues.apache.org/jira/browse/SPARK-4530
Project: Spark
Issue Type: Bug
Components: MLlib
Affects Versions: 1.0.0, 1.1.0, 1.2.0
Reporter: Guoqiang Li
Assignee: Guoqiang Li
Priority: Minor
Fix For: 1.2.0
This bug is caused by {{RDD.sample}}
The number of {{RDD.sample}} returns is not fixed.
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[jira] [Updated] (SPARK-4530) GradientDescent get a wrong gradient value according to the gradient formula, which is caused by the miniBatchSize parameter.
[
https://issues.apache.org/jira/browse/SPARK-4530?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xiangrui Meng updated SPARK-4530:
-
Assignee: Guoqiang Li
GradientDescent get a wrong gradient value according to the gradient formula,
which is caused by the miniBatchSize parameter.
-
Key: SPARK-4530
URL: https://issues.apache.org/jira/browse/SPARK-4530
Project: Spark
Issue Type: Bug
Components: MLlib
Affects Versions: 1.0.0, 1.1.0, 1.2.0
Reporter: Guoqiang Li
Assignee: Guoqiang Li
This bug is caused by {{RDD.sample}}
The number of {{RDD.sample}} returns is not fixed.
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[jira] [Updated] (SPARK-4530) GradientDescent get a wrong gradient value according to the gradient formula, which is caused by the miniBatchSize parameter.
[
https://issues.apache.org/jira/browse/SPARK-4530?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xiangrui Meng updated SPARK-4530:
-
Priority: Minor (was: Major)
GradientDescent get a wrong gradient value according to the gradient formula,
which is caused by the miniBatchSize parameter.
-
Key: SPARK-4530
URL: https://issues.apache.org/jira/browse/SPARK-4530
Project: Spark
Issue Type: Bug
Components: MLlib
Affects Versions: 1.0.0, 1.1.0, 1.2.0
Reporter: Guoqiang Li
Assignee: Guoqiang Li
Priority: Minor
This bug is caused by {{RDD.sample}}
The number of {{RDD.sample}} returns is not fixed.
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[jira] [Updated] (SPARK-4530) GradientDescent get a wrong gradient value according to the gradient formula, which is caused by the miniBatchSize parameter.
[
https://issues.apache.org/jira/browse/SPARK-4530?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xiangrui Meng updated SPARK-4530:
-
Target Version/s: 1.0.2, 1.2.0, 1.1.2
GradientDescent get a wrong gradient value according to the gradient formula,
which is caused by the miniBatchSize parameter.
-
Key: SPARK-4530
URL: https://issues.apache.org/jira/browse/SPARK-4530
Project: Spark
Issue Type: Bug
Components: MLlib
Affects Versions: 1.0.0, 1.1.0, 1.2.0
Reporter: Guoqiang Li
Assignee: Guoqiang Li
Priority: Minor
This bug is caused by {{RDD.sample}}
The number of {{RDD.sample}} returns is not fixed.
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[jira] [Updated] (SPARK-4530) GradientDescent get a wrong gradient value according to the gradient formula, which is caused by the miniBatchSize parameter.
[
https://issues.apache.org/jira/browse/SPARK-4530?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean Owen updated SPARK-4530:
-
Priority: Major (was: Blocker)
See comments on the PR. I don't think these things rise to the level of
'blocker'
GradientDescent get a wrong gradient value according to the gradient formula,
which is caused by the miniBatchSize parameter.
-
Key: SPARK-4530
URL: https://issues.apache.org/jira/browse/SPARK-4530
Project: Spark
Issue Type: Bug
Components: MLlib
Affects Versions: 1.0.0, 1.1.0, 1.2.0
Reporter: Guoqiang Li
This bug is caused by {{RDD.sample}}
The number of {{RDD.sample}} returns is not fixed.
--
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[jira] [Updated] (SPARK-4530) GradientDescent get a wrong gradient value according to the gradient formula, which is caused by the miniBatchSize parameter.
[
https://issues.apache.org/jira/browse/SPARK-4530?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Guoqiang Li updated SPARK-4530:
---
Priority: Blocker (was: Major)
GradientDescent get a wrong gradient value according to the gradient formula,
which is caused by the miniBatchSize parameter.
-
Key: SPARK-4530
URL: https://issues.apache.org/jira/browse/SPARK-4530
Project: Spark
Issue Type: Bug
Components: MLlib
Affects Versions: 1.0.0, 1.1.0, 1.2.0
Reporter: Guoqiang Li
Priority: Blocker
This bug is caused by {{RDD.sample}}
The number of {{RDD.sample}} returns is not fixed.
--
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