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Bago Amirbekian commented on SPARK-20040:
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I'd like to work on this.
> Python API for
Bago Amirbekian created SPARK-20861:
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Summary: Pyspark CrossValidator & TrainValidationSplit should
delegate parameter looping to estimators
Key: SPARK-20861
URL:
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https://issues.apache.org/jira/browse/SPARK-20861?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16022137#comment-16022137
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Bago Amirbekian commented on SPARK-20861:
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[~josephkb]
> Pyspark CrossValidator &
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Bago Amirbekian updated SPARK-20861:
Comment: was deleted
(was: I've made a PR to address this issue:
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Bago Amirbekian commented on SPARK-20861:
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I've made a PR to address this issue:
Bago Amirbekian created SPARK-20862:
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Summary: LogisticRegressionModel throws TypeError
Key: SPARK-20862
URL: https://issues.apache.org/jira/browse/SPARK-20862
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-21926?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16193392#comment-16193392
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Bago Amirbekian commented on SPARK-21926:
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[~mslipper] The trickiest thing about 1 (b) is knowing
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Bago Amirbekian commented on SPARK-13030:
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Just so I'm clear, does multi-column in this context
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Bago Amirbekian updated SPARK-22232:
Component/s: SQL
> Row objects in pyspark created using the `Row(**kwars)` syntax do not
Bago Amirbekian created SPARK-21926:
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Summary: Some transformers in spark.ml.feature fail when trying to
transform steaming dataframes
Key: SPARK-21926
URL: https://issues.apache.org/jira/browse/SPARK-21926
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Bago Amirbekian updated SPARK-22232:
Description:
The fields in a Row object created from a dict (ie `Row(**kwargs)`) should be
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Bago Amirbekian commented on SPARK-22232:
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Full trace:
{code:none}
[Row(a=u'a', c=3.0, b=2),
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Bago Amirbekian updated SPARK-22232:
Description:
The fields in a Row object created from a dict (ie {{Row(**kwargs)}}) should
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Bago Amirbekian updated SPARK-22232:
Description:
The fields in a Row object created from a dict (ie `Row(**kwargs)`) should be
Bago Amirbekian created SPARK-22232:
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Summary: Row objects in pyspark using the `Row(**kwars)` syntax do
not get serialized/deserialized properly
Key: SPARK-22232
URL:
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https://issues.apache.org/jira/browse/SPARK-22232?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bago Amirbekian updated SPARK-22232:
Description:
The fields in a Row object created from a dict (ie `Row(**kwargs)`) should be
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Bago Amirbekian updated SPARK-22232:
Description:
The fields in a Row object created from a dict (ie {{Row(**kwargs)}}) should
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Bago Amirbekian updated SPARK-22232:
Description:
The fields in a Row object created from a dict (ie {{Row(**kwargs)}}) should
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Bago Amirbekian updated SPARK-22232:
Description:
The fields in a Row object created from a dict (ie {{Row(**kwargs)}}) should
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Bago Amirbekian updated SPARK-22232:
Description:
The fields in a Row object created from a dict (ie {{Row(**kwargs)}}) should
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Bago Amirbekian updated SPARK-22232:
Summary: Row objects in pyspark created using the `Row(**kwars)` syntax do
not get
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https://issues.apache.org/jira/browse/SPARK-22811?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bago Amirbekian updated SPARK-22811:
Priority: Minor (was: Major)
> pyspark.ml.tests is missing a py4j import.
>
Bago Amirbekian created SPARK-22811:
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Summary: pyspark.ml.tests is missing a py4j import.
Key: SPARK-22811
URL: https://issues.apache.org/jira/browse/SPARK-22811
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-22126?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16295964#comment-16295964
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Bago Amirbekian commented on SPARK-22126:
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Anyone who's following might want to scan the design
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Bago Amirbekian edited comment on SPARK-22126 at 12/19/17 12:55 AM:
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Bago Amirbekian commented on SPARK-22346:
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I think [~josephkb]'s version of Option 3 makes the
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Bago Amirbekian commented on SPARK-20586:
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Is there some documentation somewhere about the right
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Bago Amirbekian commented on SPARK-20586:
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Also a follow up questions, are the performance
Bago Amirbekian created SPARK-22734:
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Summary: Create Python API for VectorSizeHint
Key: SPARK-22734
URL: https://issues.apache.org/jira/browse/SPARK-22734
Project: Spark
Issue Type:
Bago Amirbekian created SPARK-22735:
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Summary: Add VectorSizeHint to ML features documentation
Key: SPARK-22735
URL: https://issues.apache.org/jira/browse/SPARK-22735
Project: Spark
Issue
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Bago Amirbekian edited comment on SPARK-22126 at 12/5/17 9:58 PM:
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Bago Amirbekian edited comment on SPARK-22126 at 12/5/17 9:53 PM:
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Bago Amirbekian commented on SPARK-22126:
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I started a discussion about potential to this issue
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Bago Amirbekian commented on SPARK-22126:
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Joseph, the way I read your comment is to say that we
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Bago Amirbekian edited comment on SPARK-22126 at 12/6/17 2:19 AM:
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Bago Amirbekian commented on SPARK-22126:
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[~WeichenXu123] Sorry I misunderstood, I thought you
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Bago Amirbekian updated SPARK-22346:
Description:
The issue
In batch mode, VectorAssembler can take multiple columns of
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https://issues.apache.org/jira/browse/SPARK-21926?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bago Amirbekian updated SPARK-21926:
Description:
We've run into a few cases where ML components don't play nice with streaming
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Bago Amirbekian updated SPARK-21926:
Description:
We've run into a few cases where ML components don't play nice with streaming
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https://issues.apache.org/jira/browse/SPARK-21926?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bago Amirbekian updated SPARK-21926:
Description:
We've run into a few cases where ML components don't play nice with streaming
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https://issues.apache.org/jira/browse/SPARK-21926?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bago Amirbekian updated SPARK-21926:
Description:
We've run into a few cases where ML components don't play nice with streaming
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https://issues.apache.org/jira/browse/SPARK-21926?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bago Amirbekian updated SPARK-21926:
Description:
We've run into a few cases where ML components don't play nice with streaming
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https://issues.apache.org/jira/browse/SPARK-22346?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16219109#comment-16219109
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Bago Amirbekian commented on SPARK-22346:
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Nick I see that options as a stepping stone to option
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Bago Amirbekian updated SPARK-22346:
Description:
The issue
In batch mode, VectorAssembler can take multiple columns of
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https://issues.apache.org/jira/browse/SPARK-22346?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bago Amirbekian updated SPARK-22346:
Description:
The issue
In batch mode, VectorAssembler can take multiple columns of
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https://issues.apache.org/jira/browse/SPARK-22346?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bago Amirbekian updated SPARK-22346:
Description:
The issue
In batch mode, VectorAssembler can take multiple columns of
Bago Amirbekian created SPARK-22346:
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Summary: Update VectorAssembler to work with StreamingDataframes
Key: SPARK-22346
URL: https://issues.apache.org/jira/browse/SPARK-22346
Project: Spark
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Bago Amirbekian updated SPARK-22346:
Description:
The issue
In batch mode, VectorAssembler can take multiple columns of
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https://issues.apache.org/jira/browse/SPARK-22346?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bago Amirbekian updated SPARK-22346:
Description:
The issue
In batch mode, VectorAssembler can take multiple columns of
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https://issues.apache.org/jira/browse/SPARK-22126?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16312264#comment-16312264
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Bago Amirbekian commented on SPARK-22126:
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[~bryanc] thanks for taking the time to put together
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Bago Amirbekian edited comment on SPARK-22126 at 1/5/18 9:48 PM:
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> Do
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Bago Amirbekian commented on SPARK-22126:
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> Do you think it's possible to put this kind of
Bago Amirbekian created SPARK-23037:
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Summary: RFormula should not use deprecated OneHotEncoder and
should include VectorSizeHint in pipeline
Key: SPARK-23037
URL:
Bago Amirbekian created SPARK-23045:
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Summary: Have RFormula use OneHotEstimator
Key: SPARK-23045
URL: https://issues.apache.org/jira/browse/SPARK-23045
Project: Spark
Issue Type: Sub-task
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Bago Amirbekian updated SPARK-23037:
Affects Version/s: (was: 2.2.0)
2.3.0
> RFormula should not use
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Bago Amirbekian updated SPARK-23045:
Summary: Have RFormula use OneHoEncoderEstimator (was: Have RFormula use
OneHotEstimator)
Bago Amirbekian created SPARK-23046:
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Summary: Have RFormula include VectorSizeHint in pipeline
Key: SPARK-23046
URL: https://issues.apache.org/jira/browse/SPARK-23046
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-23109?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16340399#comment-16340399
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Bago Amirbekian commented on SPARK-23109:
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[~bryanc] One reason the python API might be different
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Bago Amirbekian commented on SPARK-23105:
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[~mlnick] We can update the sub tasks to target 2.3 if
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Bago Amirbekian commented on SPARK-23106:
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I ran mina in branch-2.3 and got the following output:
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Bago Amirbekian edited comment on SPARK-23106 at 1/25/18 10:49 PM:
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I
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Bago Amirbekian edited comment on SPARK-23106 at 1/25/18 10:49 PM:
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I
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Bago Amirbekian resolved SPARK-23106.
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Resolution: Resolved
> ML, Graph 2.3 QA: API: Binary incompatible changes
>
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Bago Amirbekian edited comment on SPARK-23106 at 1/25/18 10:49 PM:
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I
Bago Amirbekian created SPARK-23048:
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Summary: Update mllib docs to replace OneHotEncoder with
OneHotEncoderEstimator
Key: SPARK-23048
URL: https://issues.apache.org/jira/browse/SPARK-23048
Bago Amirbekian created SPARK-23377:
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Summary: Bucketizer with multiple columns persistence bug
Key: SPARK-23377
URL: https://issues.apache.org/jira/browse/SPARK-23377
Project: Spark
Issue
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Bago Amirbekian updated SPARK-23377:
Description:
A Bucketizer with multiple input/output columns get "inputCol" set to the
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Bago Amirbekian commented on SPARK-23265:
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What's the status of this? Will this be a change in
Bago Amirbekian created SPARK-22922:
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Summary: Python API for fitMultiple
Key: SPARK-22922
URL: https://issues.apache.org/jira/browse/SPARK-22922
Project: Spark
Issue Type: Improvement
Bago Amirbekian created SPARK-22949:
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Summary: Reduce memory requirement for TrainValidationSplit
Key: SPARK-22949
URL: https://issues.apache.org/jira/browse/SPARK-22949
Project: Spark
Bago Amirbekian created SPARK-25149:
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Summary: ParallelPersonalizedPageRank raises an error if vertexIDs
are > MaxInt
Key: SPARK-25149
URL: https://issues.apache.org/jira/browse/SPARK-25149
Bago Amirbekian created SPARK-25268:
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Summary: runParallelPersonalizedPageRank throws serialization
Exception
Key: SPARK-25268
URL: https://issues.apache.org/jira/browse/SPARK-25268
Project: Spark
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Bago Amirbekian updated SPARK-25149:
Summary: Personalized Page Rank raises an error if vertexIDs are > MaxInt
(was:
Bago Amirbekian created SPARK-24852:
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Summary: Have spark.ml training use updated `Instrumentation` APIs.
Key: SPARK-24852
URL: https://issues.apache.org/jira/browse/SPARK-24852
Project: Spark
Bago Amirbekian created SPARK-24747:
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Summary: Make spark.ml.util.Instrumentation class more flexible
Key: SPARK-24747
URL: https://issues.apache.org/jira/browse/SPARK-24747
Project: Spark
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Bago Amirbekian edited comment on SPARK-23471 at 2/27/18 8:04 PM:
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Bago Amirbekian edited comment on SPARK-23471 at 2/27/18 8:04 PM:
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Bago Amirbekian commented on SPARK-23471:
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[~Keepun] `train` is a protected API, it's called by
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Bago Amirbekian commented on SPARK-19947:
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I think this was resolved by
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Bago Amirbekian edited comment on SPARK-2 at 2/27/18 9:24 PM:
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Bago Amirbekian edited comment on SPARK-23471 at 2/27/18 8:07 PM:
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Bago Amirbekian commented on SPARK-2:
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[~MBALearnsToCode] you can use a `VectorSizeHint`
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Bago Amirbekian edited comment on SPARK-23471 at 2/27/18 8:06 PM:
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Bago Amirbekian edited comment on SPARK-23471 at 2/27/18 8:06 PM:
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Bago Amirbekian created SPARK-23686:
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Summary: Make better usage of
org.apache.spark.ml.util.Instrumentation
Key: SPARK-23686
URL: https://issues.apache.org/jira/browse/SPARK-23686
Project: Spark
Bago Amirbekian created SPARK-23562:
---
Summary: RFormula handleInvalid should handle invalid values in
non-string columns.
Key: SPARK-23562
URL: https://issues.apache.org/jira/browse/SPARK-23562
Bago Amirbekian created SPARK-25921:
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Summary: Python worker reuse causes Barrier tasks to run without
BarrierTaskContext
Key: SPARK-25921
URL: https://issues.apache.org/jira/browse/SPARK-25921
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Bago Amirbekian commented on SPARK-25921:
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[~mengxr] [~jiangxb1987] Could you have a look.
>
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Bago Amirbekian updated SPARK-25921:
Description:
Running a barrier job after a normal spark job causes the barrier job to run
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https://issues.apache.org/jira/browse/SPARK-25921?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bago Amirbekian updated SPARK-25921:
Description:
Running a barrier job after a normal spark job causes the barrier job to run
Bago Amirbekian created SPARK-27446:
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Summary: RBackend always uses default values for spark confs
Key: SPARK-27446
URL: https://issues.apache.org/jira/browse/SPARK-27446
Project: Spark
Bago Amirbekian created SPARK-29692:
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Summary: SparkContext.defaultParallism should reflect resource
limits when resource limits are set
Key: SPARK-29692
URL: https://issues.apache.org/jira/browse/SPARK-29692
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