Nic Eggert created SPARK-22289:
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Summary: Cannot save LogisticRegressionClassificationModel with
bounds on coefficients
Key: SPARK-22289
URL: https://issues.apache.org/jira/browse/SPARK-22289
Project:
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https://issues.apache.org/jira/browse/SPARK-19109?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16135241#comment-16135241
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Nic Eggert edited comment on SPARK-19109 at 8/21/17 2:43 PM:
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[~dongjoon] I
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Nic Eggert commented on SPARK-19109:
[~dongjoon] I don't have the ability to reproduce it on my end
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Nic Eggert updated SPARK-19109:
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Description:
Basically, Spark inherits HIVE-11592 from its Hive dependency. From that issue:
If
Nic Eggert created SPARK-19109:
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Summary: ORC metadata section can sometimes exceed protobuf
message size limit
Key: SPARK-19109
URL: https://issues.apache.org/jira/browse/SPARK-19109
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-17455?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15802810#comment-15802810
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Nic Eggert commented on SPARK-17455:
Fine by me
> IsotonicRegression takes non-polynomial time for
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Nic Eggert updated SPARK-17455:
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Issue Type: Bug (was: Improvement)
> IsotonicRegression takes non-polynomial time for some inputs
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https://issues.apache.org/jira/browse/SPARK-15822?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15633719#comment-15633719
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Nic Eggert commented on SPARK-15822:
Yes, I'm caching right before the action that causes the crash.
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https://issues.apache.org/jira/browse/SPARK-15822?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15633487#comment-15633487
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Nic Eggert commented on SPARK-15822:
I'm seeing the segmentation violation at
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Nic Eggert commented on SPARK-15822:
I think I'm seeing this bug in 1.6.2 when using the G1 garbage
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Nic Eggert updated SPARK-17455:
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Priority: Major (was: Minor)
> IsotonicRegression takes non-polynomial time for some inputs
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Nic Eggert updated SPARK-17455:
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Priority: Minor (was: Major)
> IsotonicRegression takes non-polynomial time for some inputs
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Nic Eggert created SPARK-17455:
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Summary: IsotonicRegression takes non-polynomial time for some
inputs
Key: SPARK-17455
URL: https://issues.apache.org/jira/browse/SPARK-17455
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-16628?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15392751#comment-15392751
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Nic Eggert commented on SPARK-16628:
Yeah, I attempted to fix this myself by having it just take the
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https://issues.apache.org/jira/browse/SPARK-15705?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15375543#comment-15375543
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Nic Eggert commented on SPARK-15705:
I believe the problem is around here:
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https://issues.apache.org/jira/browse/SPARK-15705?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15373786#comment-15373786
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Nic Eggert commented on SPARK-15705:
Found a work-around: Set
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https://issues.apache.org/jira/browse/SPARK-15705?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15371513#comment-15371513
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Nic Eggert commented on SPARK-15705:
Double-checked just for fun. The problem still exists in RC2.
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https://issues.apache.org/jira/browse/SPARK-16426?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nic Eggert updated SPARK-16426:
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Description:
{code}
val r = sc.parallelize(Seq[(Double, Double, Double)]((2, 1, 1), (1, 1, 1), (0,
Nic Eggert created SPARK-16426:
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Summary: IsotonicRegression produces NaNs with certain data
Key: SPARK-16426
URL: https://issues.apache.org/jira/browse/SPARK-16426
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-15705?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15345036#comment-15345036
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Nic Eggert commented on SPARK-15705:
Raised priority to critical. We have a lot of partitioned tables
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Nic Eggert updated SPARK-15705:
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Priority: Critical (was: Major)
> Spark won't read ORC schema from metastore for partitioned tables
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https://issues.apache.org/jira/browse/SPARK-15720?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15312865#comment-15312865
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Nic Eggert commented on SPARK-15720:
Same request here. For English, ~1-2M vocab is plenty, but
Nic Eggert created SPARK-15705:
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Summary: Spark won't read ORC schema from metastore for
partitioned tables
Key: SPARK-15705
URL: https://issues.apache.org/jira/browse/SPARK-15705
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-11008?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14991854#comment-14991854
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Nic Eggert commented on SPARK-11008:
I was having a similar problem in 1.5.1 that seems to be fixed
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