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holdenk resolved SPARK-19064.
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Resolution: Fixed
Assignee: holdenk
Fix Version/s: 2.2.0
2.1.1
> Fix
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https://issues.apache.org/jira/browse/SPARK-19578?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15896751#comment-15896751
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holdenk commented on SPARK-19578:
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[~nchammas] That sounds like a pretty good summary from my point of
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holdenk commented on SPARK-19578:
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[~nchammas] It's an interesting idea but I don't think it would work
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holdenk reassigned SPARK-13330:
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Assignee: Jeff Zhang
> PYTHONHASHSEED is not propgated to python worker
>
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holdenk resolved SPARK-13330.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 11211
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https://issues.apache.org/jira/browse/SPARK-19161?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15883013#comment-15883013
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holdenk commented on SPARK-19161:
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Thanks for working on this [~zero323], having better docs for UDFs
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holdenk resolved SPARK-19161.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 16534
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holdenk reassigned SPARK-19161:
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Assignee: Maciej Szymkiewicz
> Improving UDF Docstrings
>
>
>
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https://issues.apache.org/jira/browse/SPARK-19160?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk resolved SPARK-19160.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 16533
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holdenk reassigned SPARK-19160:
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Assignee: Maciej Szymkiewicz
> Decorator for UDF creation.
> ---
>
>
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https://issues.apache.org/jira/browse/SPARK-19590?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk reassigned SPARK-19590:
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Assignee: Vincent (was: holdenk)
> Update the document for QuantileDiscretizer in pyspark
>
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holdenk reassigned SPARK-19590:
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Assignee: holdenk
> Update the document for QuantileDiscretizer in pyspark
>
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holdenk resolved SPARK-19590.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 16922
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https://issues.apache.org/jira/browse/SPARK-18541?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk reassigned SPARK-18541:
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Assignee: Shea Parkes
> Add pyspark.sql.Column.aliasWithMetadata to allow dynamic metadata
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holdenk resolved SPARK-18541.
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Resolution: Fixed
Fix Version/s: 2.2.0
> Add pyspark.sql.Column.aliasWithMetadata to allow
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https://issues.apache.org/jira/browse/SPARK-19162?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk resolved SPARK-19162.
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Resolution: Fixed
Fix Version/s: 2.2.0
> UserDefinedFunction constructor should verify that func
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https://issues.apache.org/jira/browse/SPARK-19162?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk reassigned SPARK-19162:
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Assignee: Maciej Szymkiewicz
> UserDefinedFunction constructor should verify that func is callable
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https://issues.apache.org/jira/browse/SPARK-19453?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk reassigned SPARK-19453:
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Assignee: Maciej Szymkiewicz
> Correct DataFrame.replace docs
> --
>
>
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holdenk resolved SPARK-19453.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 16792
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https://issues.apache.org/jira/browse/SPARK-12661?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15864824#comment-15864824
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holdenk commented on SPARK-12661:
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Coming back to this since Sean's thread reminded me - who should we
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holdenk resolved SPARK-19429.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 16771
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holdenk reassigned SPARK-19429:
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Assignee: Maciej Szymkiewicz
> Column.__getitem__ should support slice arguments
>
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https://issues.apache.org/jira/browse/SPARK-6883?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15864309#comment-15864309
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holdenk commented on SPARK-6883:
Let's consider re-opening this for discussion - do we maybe want to just
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holdenk reopened SPARK-6883:
> Fork pyspark's cloudpickle as a separate dependency
> ---
>
>
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holdenk resolved SPARK-19427.
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Resolution: Fixed
Assignee: Maciej Szymkiewicz
Fix Version/s: 2.2.0
Thanks for doing all
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holdenk resolved SPARK-19506.
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Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
Thanks for reporting and fixing
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holdenk reassigned SPARK-19506:
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Assignee: Maciej Szymkiewicz
> Missing warnings import in pyspark.ml.util
>
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https://issues.apache.org/jira/browse/SPARK-19421?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk resolved SPARK-19421.
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Resolution: Fixed
Fix Version/s: 2.2.0
Thanks for fixing this, merged in 317fa750 :)
> Remove
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holdenk reassigned SPARK-19421:
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Assignee: zhengruifeng
> Remove numClasses and numFeatures methods in LinearSVC
>
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https://issues.apache.org/jira/browse/SPARK-17161?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk reassigned SPARK-17161:
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Assignee: Bryan Cutler
Affects Version/s: 2.2.0
> Add PySpark-ML JavaWrapper
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holdenk resolved SPARK-17161.
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Resolution: Fixed
Fix Version/s: 2.2.0
> Add PySpark-ML JavaWrapper convenience function to
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holdenk commented on SPARK-14352:
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[~hyukjin.kwon] - I'm still waiting on getting my JIRA account set up
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holdenk commented on SPARK-2868:
This might be a difficult issue to start of with [~heathkh] - the
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holdenk commented on SPARK-18692:
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Does the current java8 doc build take too long for this be part of the
Title: Message Title
holdenk commented on SPARK-16454
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https://issues.apache.org/jira/browse/SPARK-17602?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15828709#comment-15828709
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holdenk commented on SPARK-17602:
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Ah yes, sorry I've been pretty busy. I just had an interesting chat
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https://issues.apache.org/jira/browse/SPARK-19094?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15803086#comment-15803086
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holdenk commented on SPARK-19094:
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I've got something basic working for this, but thinking it might make
holdenk created SPARK-19094:
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Summary: Plumb through logging/error messages from the JVM to
Jupyter PySpark
Key: SPARK-19094
URL: https://issues.apache.org/jira/browse/SPARK-19094
Project: Spark
holdenk created SPARK-19064:
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Summary: Fix pip install issue with ml sub components
Key: SPARK-19064
URL: https://issues.apache.org/jira/browse/SPARK-19064
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-18281?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15749830#comment-15749830
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holdenk commented on SPARK-18281:
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For what its worth I can repro on top of the PR with
holdenk created SPARK-18777:
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Summary: Return UDF objects when registering from Python
Key: SPARK-18777
URL: https://issues.apache.org/jira/browse/SPARK-18777
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-15369?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15707435#comment-15707435
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holdenk commented on SPARK-15369:
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So I'm probably going to be busy until after the 2.1 release (also
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holdenk commented on SPARK-15369:
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That looks like a great start :) Probably the packaging is going to be
holdenk created SPARK-18630:
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Summary: PySpark ML memory leak
Key: SPARK-18630
URL: https://issues.apache.org/jira/browse/SPARK-18630
Project: Spark
Issue Type: Bug
Components: ML,
holdenk created SPARK-18628:
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Summary: Update handle invalid documentation string
Key: SPARK-18628
URL: https://issues.apache.org/jira/browse/SPARK-18628
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-17788?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk reopened SPARK-17788:
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This is somewhat distinct from the join case, but certainly related.
> RangePartitioner results in few very
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holdenk commented on SPARK-17788:
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I don't think this is a duplicate - its related but a join doesn't
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https://issues.apache.org/jira/browse/SPARK-6522?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15696024#comment-15696024
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holdenk commented on SPARK-6522:
We have a standardized RDD generator in MLlib (see the RandomRDDs
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holdenk closed SPARK-6522.
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Resolution: Fixed
Fix Version/s: 1.1.0
> Standardize Random Number Generation
>
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holdenk commented on SPARK-5997:
That could work, although we'd probably want a different API and we'd
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holdenk resolved SPARK-3348.
Resolution: Duplicate
> Support user-defined SparkListeners properly
>
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holdenk commented on SPARK-5190:
This seems to be fixed, but we forgot to close (cc [~joshrosen])
> Allow
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holdenk commented on SPARK-636:
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If you have a logging system you want to initialize wouldn't using an object
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holdenk commented on SPARK-17788:
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This is semi-expected behaviour of the range partitioner (and really
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holdenk updated SPARK-17788:
Target Version/s: (was: 2.1.0)
> RangePartitioner results in few very large tasks and many small to
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https://issues.apache.org/jira/browse/SPARK-18108?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk updated SPARK-18108:
Component/s: (was: Spark Core)
SQL
> Partition discovery fails with explicitly
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https://issues.apache.org/jira/browse/SPARK-18128?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15695941#comment-15695941
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holdenk commented on SPARK-18128:
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Thanks! :) I'll start working on this issue once we start work on 2.2
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holdenk commented on SPARK-18128:
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Thanks! :) I'll start working on this issue once we start work on 2.2
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holdenk commented on SPARK-18405:
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Even in cluster mode you could overwhelm the node running the
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holdenk updated SPARK-18502:
Component/s: (was: Spark Core)
SQL
> Spark does not handle columns that contain
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https://issues.apache.org/jira/browse/SPARK-18532?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk updated SPARK-18532:
Component/s: (was: Spark Core)
SQL
> Code generation memory issue
>
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https://issues.apache.org/jira/browse/SPARK-18541?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15695922#comment-15695922
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holdenk commented on SPARK-18541:
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Making it easier for PySpark SQL users to specify metadata sounds
holdenk created SPARK-18576:
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Summary: Expose basic TaskContext info in PySpark
Key: SPARK-18576
URL: https://issues.apache.org/jira/browse/SPARK-18576
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-12469?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15687763#comment-15687763
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holdenk commented on SPARK-12469:
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Cool - I'll bug y'all after the 2.1 release is out so hopefully we can
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holdenk commented on SPARK-12469:
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In some ways I agree, on the other hand its slipped 2.0 already (as a
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holdenk commented on SPARK-12469:
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Hi [~rxin]/[~squito] if we want to try and get this in for 2.1 we
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https://issues.apache.org/jira/browse/SPARK-2620?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15674308#comment-15674308
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holdenk commented on SPARK-2620:
I don't think its been resolved, does your code need to be in the repl or
holdenk created SPARK-18418:
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Summary: Make release script hadoop profiles aren't correctly
specified.
Key: SPARK-18418
URL: https://issues.apache.org/jira/browse/SPARK-18418
Project: Spark
Issue
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holdenk updated SPARK-18128:
Issue Type: Sub-task (was: Improvement)
Parent: SPARK-18267
> Add support for publishing to PyPI
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holdenk commented on SPARK-18128:
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When I e-mailed [~prabinb] earlier this week I got an out of office
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holdenk commented on SPARK-18128:
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Sure
> Add support for publishing to PyPI
>
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holdenk commented on SPARK-18128:
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Good call - so publishing to PyPI test has worked fine but there might
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https://issues.apache.org/jira/browse/SPARK-15581?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15634568#comment-15634568
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holdenk commented on SPARK-15581:
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This sounds like really good suggestions - I think some of the biggest
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holdenk commented on SPARK-18128:
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Extracted from the discussion around SPARK-1267:
People who are
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holdenk commented on SPARK-7146:
I think it might be reasonable to just expose it as Scala traits and mark
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https://issues.apache.org/jira/browse/SPARK-7638?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk closed SPARK-7638.
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Resolution: Won't Fix
We are moving away from the MLlib APIs, so any new functionality should be done
against
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holdenk closed SPARK-3981.
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Resolution: Won't Fix
I'm closing this as a "Won't Fix" for now since we are moving over to the ML
APIs. If
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holdenk commented on SPARK-2868:
or maybe [~rxin] or [~squito] who have been doing some other accumulator
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holdenk updated SPARK-18128:
Description:
After SPARK-1267 is done we should add support for publishing to PyPI similar
to how we
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https://issues.apache.org/jira/browse/SPARK-17602?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15611611#comment-15611611
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holdenk commented on SPARK-17602:
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This certainly looks interesting, do you maybe have some code you
holdenk created SPARK-18136:
---
Summary: Make PySpark pip install works on windows
Key: SPARK-18136
URL: https://issues.apache.org/jira/browse/SPARK-18136
Project: Spark
Issue Type: Improvement
holdenk created SPARK-18129:
---
Summary: Sign pip artifacts
Key: SPARK-18129
URL: https://issues.apache.org/jira/browse/SPARK-18129
Project: Spark
Issue Type: Improvement
Components:
holdenk created SPARK-18128:
---
Summary: Add support for publishing to PyPI
Key: SPARK-18128
URL: https://issues.apache.org/jira/browse/SPARK-18128
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-1267?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk reopened SPARK-1267:
re-opening after discussion on mailing list and PR thread.
> Add a pip installer for PySpark
>
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https://issues.apache.org/jira/browse/SPARK-18073?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15602152#comment-15602152
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holdenk commented on SPARK-18073:
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I like the idea of migrating everything off of the wiki - the fact its
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holdenk commented on SPARK-14141:
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Ah sorry for the delay, so doing the cache + count together is done
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https://issues.apache.org/jira/browse/SPARK-13534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15579946#comment-15579946
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holdenk commented on SPARK-13534:
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And now they have a release :) I'm not certain its at the stage where
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https://issues.apache.org/jira/browse/SPARK-12753?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15579942#comment-15579942
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holdenk commented on SPARK-12753:
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(oh as a follow up it appears the user answered their own question on
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https://issues.apache.org/jira/browse/SPARK-12753?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk closed SPARK-12753.
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Resolution: Not A Problem
I don't believe this is a PySpark issue but rather it seems like a Python
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https://issues.apache.org/jira/browse/SPARK-11223?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk resolved SPARK-11223.
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Resolution: Fixed
Fixed in SPARK-12810 by [~vectorijk] :)
> PySpark CrossValidatorModel does not output
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https://issues.apache.org/jira/browse/SPARK-11223?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15579923#comment-15579923
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holdenk commented on SPARK-11223:
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Oh wait it looks like we've already done this and I was looking at the
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https://issues.apache.org/jira/browse/SPARK-11223?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15579921#comment-15579921
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holdenk commented on SPARK-11223:
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This could be a good starter issue for someone interested in ML or
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https://issues.apache.org/jira/browse/SPARK-11223?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk updated SPARK-11223:
Labels: starter (was: )
> PySpark CrossValidatorModel does not output metrics for every param in
>
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https://issues.apache.org/jira/browse/SPARK-10635?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15579914#comment-15579914
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holdenk commented on SPARK-10635:
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it would be a bit difficult, although as Py4J is speeding up the
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https://issues.apache.org/jira/browse/SPARK-10628?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15579910#comment-15579910
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holdenk commented on SPARK-10628:
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For someone who is interested in doing this, we might be able to do
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https://issues.apache.org/jira/browse/SPARK-10525?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk closed SPARK-10525.
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Resolution: Fixed
Fix Version/s: 2.0.0
Fixed in SPARK-14514 by [~podongfeng]
> Add Python example
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https://issues.apache.org/jira/browse/SPARK-10525?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15579906#comment-15579906
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holdenk commented on SPARK-10525:
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It looks like it does, I'm going to go ahead and resolve this. Thanks
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https://issues.apache.org/jira/browse/SPARK-10319?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15579901#comment-15579901
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holdenk commented on SPARK-10319:
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Is this issue still occurring for you?
> ALS training using PySpark
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https://issues.apache.org/jira/browse/SPARK-10223?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk closed SPARK-10223.
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Resolution: Won't Fix
I don't see this feature being particularly popular, especially since its
relatively
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https://issues.apache.org/jira/browse/SPARK-9965?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk closed SPARK-9965.
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Resolution: Resolved
Fix Version/s: 2.0.0
These methods were removed in
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