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https://issues.apache.org/jira/browse/SPARK-12299?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15105845#comment-15105845
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Bryan Cutler commented on SPARK-12299:
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I'd be happy to work on this since I recently made some
Bryan Cutler created SPARK-16231:
Summary: PySpark ML DataFrame example fails on Vector conversion
Key: SPARK-16231
URL: https://issues.apache.org/jira/browse/SPARK-16231
Project: Spark
Bryan Cutler created SPARK-16197:
Summary: Cleanup PySpark status api and example
Key: SPARK-16197
URL: https://issues.apache.org/jira/browse/SPARK-16197
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-12731?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15126886#comment-15126886
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Bryan Cutler commented on SPARK-12731:
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Just to add my 2cents since I've been working on a similar
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https://issues.apache.org/jira/browse/SPARK-13500?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler resolved SPARK-13500.
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Resolution: Duplicate
this example and others are being added as part of this
> Add an
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https://issues.apache.org/jira/browse/SPARK-13500?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15168021#comment-15168021
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Bryan Cutler commented on SPARK-13500:
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I'm working on it :D
> Add an example for LDA in PySpark
>
Bryan Cutler created SPARK-13500:
Summary: Add an example for LDA in PySpark
Key: SPARK-13500
URL: https://issues.apache.org/jira/browse/SPARK-13500
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-11219?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler resolved SPARK-11219.
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Resolution: Done
Fix Version/s: 2.0.0
> Make Parameter Description Format Consistent in
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https://issues.apache.org/jira/browse/SPARK-13430?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15172775#comment-15172775
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Bryan Cutler commented on SPARK-13430:
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I can work on adding this
> Expose ml summary function in
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https://issues.apache.org/jira/browse/SPARK-11219?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15115756#comment-15115756
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Bryan Cutler commented on SPARK-11219:
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Regarding overall style in PySpark, I generally see single
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https://issues.apache.org/jira/browse/SPARK-12986?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15116153#comment-15116153
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Bryan Cutler commented on SPARK-12986:
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It looks like this is caused by an indented line not being
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https://issues.apache.org/jira/browse/SPARK-9844?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15150913#comment-15150913
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Bryan Cutler commented on SPARK-9844:
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This error is benign for the most part, once it gets here, the
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https://issues.apache.org/jira/browse/SPARK-10086?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler updated SPARK-10086:
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Attachment: flakyRepro.py
Simple script with similar operations to this StreamingKMeans test,
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Bryan Cutler edited comment on SPARK-10086 at 2/13/16 12:44 AM:
Simple
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Bryan Cutler commented on SPARK-10086:
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I was able to track down the cause of these failures, so
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https://issues.apache.org/jira/browse/SPARK-13963?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=1520#comment-1520
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Bryan Cutler commented on SPARK-13963:
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Hi [~mlnick], mind if I work on this?
> Add binary toggle
Bryan Cutler created SPARK-13937:
Summary: PySpark ML JavaWrapper, variable _java_obj should not be
static
Key: SPARK-13937
URL: https://issues.apache.org/jira/browse/SPARK-13937
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-13967?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15201803#comment-15201803
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Bryan Cutler commented on SPARK-13967:
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Sure, I'd like to do this - thanks!
> Add binary toggle
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Bryan Cutler commented on SPARK-14472:
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I'm working on it :D
> Cleanup PySpark-ML Java wrapper
Bryan Cutler created SPARK-14472:
Summary: Cleanup PySpark-ML Java wrapper classes so that
JavaWrapper will inherit from JavaCallable
Key: SPARK-14472
URL: https://issues.apache.org/jira/browse/SPARK-14472
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https://issues.apache.org/jira/browse/SPARK-10086?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15232888#comment-15232888
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Bryan Cutler commented on SPARK-10086:
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The changes to the test I proposed earlier are still valid,
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https://issues.apache.org/jira/browse/SPARK-13691?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15197775#comment-15197775
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Bryan Cutler commented on SPARK-13691:
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Since the problem comes from the structure of the code in
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https://issues.apache.org/jira/browse/SPARK-13937?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15197805#comment-15197805
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Bryan Cutler commented on SPARK-13937:
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I'll submit a PR for this
> PySpark ML JavaWrapper,
Bryan Cutler created SPARK-14087:
Summary: PySpark ML JavaModel does not properly own params after
being fit
Key: SPARK-14087
URL: https://issues.apache.org/jira/browse/SPARK-14087
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-14087?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15207555#comment-15207555
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Bryan Cutler commented on SPARK-14087:
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I can post a PR for this
> PySpark ML JavaModel does not
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Bryan Cutler updated SPARK-14087:
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Attachment: feature.py
> PySpark ML JavaModel does not properly own params after being fit
>
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Bryan Cutler updated SPARK-13625:
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Description:
In PySpark params.__init__.py, the method {{Param.params()}} returns a list of
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https://issues.apache.org/jira/browse/SPARK-13602?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15176787#comment-15176787
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Bryan Cutler commented on SPARK-13602:
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Hi [~zsxwing], mind if I work on this one?
>
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Bryan Cutler updated SPARK-13625:
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Description:
In PySpark params.__init__.py, the method {{Param.params()}} returns a list of
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https://issues.apache.org/jira/browse/SPARK-13625?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler updated SPARK-13625:
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Description:
In PySpark params.__init__.py, the method {{Param.params()}} returns a list of
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https://issues.apache.org/jira/browse/SPARK-13625?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15176655#comment-15176655
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Bryan Cutler commented on SPARK-13625:
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I have a fix for this, will post PR soon
> PySpark-ML
Bryan Cutler created SPARK-13625:
Summary: PySpark-ML method to get list of params for an obj should
not check property attr
Key: SPARK-13625
URL: https://issues.apache.org/jira/browse/SPARK-13625
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https://issues.apache.org/jira/browse/SPARK-13602?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15177169#comment-15177169
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Bryan Cutler commented on SPARK-13602:
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Great! Thanks :D
> o.a.s.deploy.worker.DriverRunner may
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Bryan Cutler commented on SPARK-13691:
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The reason for this is that Pyspark serializes the closure
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https://issues.apache.org/jira/browse/SPARK-14087?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15225326#comment-15225326
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Bryan Cutler commented on SPARK-14087:
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I don't think this would completely solve it, please see my
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https://issues.apache.org/jira/browse/SPARK-15448?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15293920#comment-15293920
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Bryan Cutler commented on SPARK-15448:
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I believe this was recently fixed in SPARK-15444
> Flaky
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https://issues.apache.org/jira/browse/SPARK-15391?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15291582#comment-15291582
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Bryan Cutler commented on SPARK-15391:
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this looks to be a duplicate of SPARK-15332
> Spark
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https://issues.apache.org/jira/browse/SPARK-15456?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15294446#comment-15294446
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Bryan Cutler commented on SPARK-15456:
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I can submit a fix for this
> PySpark Shell fails to create
Bryan Cutler created SPARK-15456:
Summary: PySpark Shell fails to create SparkContext if HiveConf
not found
Key: SPARK-15456
URL: https://issues.apache.org/jira/browse/SPARK-15456
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-15100?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15285366#comment-15285366
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Bryan Cutler commented on SPARK-15100:
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I can do a PR to update CountVectorizer and HashingTF
>
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https://issues.apache.org/jira/browse/SPARK-15100?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15289350#comment-15289350
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Bryan Cutler commented on SPARK-15100:
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I did a quick pass through Scala and Python APIs, just found
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Bryan Cutler commented on SPARK-15100:
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sure, I hadn't started on those yet
> Audit: ml.feature
>
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https://issues.apache.org/jira/browse/SPARK-15009?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15264515#comment-15264515
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Bryan Cutler commented on SPARK-15009:
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I'm working on this
> PySpark CountVectorizerModel should
Bryan Cutler created SPARK-15009:
Summary: PySpark CountVectorizerModel should be able to construct
from vocabulary list
Key: SPARK-15009
URL: https://issues.apache.org/jira/browse/SPARK-15009
Bryan Cutler created SPARK-15018:
Summary: PySpark ML Pipeline fails when no stages set
Key: SPARK-15018
URL: https://issues.apache.org/jira/browse/SPARK-15018
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-15018?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15264858#comment-15264858
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Bryan Cutler commented on SPARK-15018:
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I have a fix for this
> PySpark ML Pipeline fails when no
Bryan Cutler created SPARK-14779:
Summary: Incorrect log message in Worker while handling
KillExecutor message
Key: SPARK-14779
URL: https://issues.apache.org/jira/browse/SPARK-14779
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-15497?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15298837#comment-15298837
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Bryan Cutler commented on SPARK-15497:
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This was added in SPARK-11888 and will be in Spark 2.0.
>
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Bryan Cutler resolved SPARK-15497.
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Resolution: Duplicate
Fix Version/s: 2.0.0
> DecisionTreeClassificationModel can't be
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https://issues.apache.org/jira/browse/SPARK-16197?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler updated SPARK-16197:
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Description:
Cleanup of Status API example to use SparkSession and be more consistent with
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https://issues.apache.org/jira/browse/SPARK-16800?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler updated SPARK-16800:
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Description: Some Java examples fail to run due to an exception thrown when
using
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https://issues.apache.org/jira/browse/SPARK-16800?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler updated SPARK-16800:
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Description: Some Java examples fail to run due to an exception thrown when
using
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https://issues.apache.org/jira/browse/SPARK-16832?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15403067#comment-15403067
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Bryan Cutler commented on SPARK-16832:
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The default seed value is a constant, this is the trait
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https://issues.apache.org/jira/browse/SPARK-16421?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15382579#comment-15382579
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Bryan Cutler commented on SPARK-16421:
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Yeah, I'm working on it now
> Improve output from ML
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https://issues.apache.org/jira/browse/SPARK-16403?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler updated SPARK-16403:
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Description:
General cleanup of examples, focused on PySpark ML, to remove unused imports,
sync
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https://issues.apache.org/jira/browse/SPARK-14087?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler resolved SPARK-14087.
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Resolution: Resolved
Fix Version/s: 2.0.0
This is no longer an issue as the PySpark
Bryan Cutler created SPARK-16260:
Summary: PySpark ML Example Improvements and Cleanup
Key: SPARK-16260
URL: https://issues.apache.org/jira/browse/SPARK-16260
Project: Spark
Issue Type:
Bryan Cutler created SPARK-16261:
Summary: Fix Incorrect appNames in PySpark ML Examples
Key: SPARK-16261
URL: https://issues.apache.org/jira/browse/SPARK-16261
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-12428?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15353488#comment-15353488
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Bryan Cutler commented on SPARK-12428:
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Hey Holden, I was thinking about doing this anyway and found
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https://issues.apache.org/jira/browse/SPARK-16247?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15353555#comment-15353555
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Bryan Cutler commented on SPARK-16247:
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I'm not sure if this is the issue, but the first parameter
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https://issues.apache.org/jira/browse/SPARK-16260?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15363135#comment-15363135
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Bryan Cutler commented on SPARK-16260:
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I have a couple tasks I still plan to add here, I will close
Bryan Cutler created SPARK-16421:
Summary: Improve output from ML examples
Key: SPARK-16421
URL: https://issues.apache.org/jira/browse/SPARK-16421
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-16421?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15366461#comment-15366461
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Bryan Cutler commented on SPARK-16421:
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I'll be working on this once the blocking issue is resolved,
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https://issues.apache.org/jira/browse/SPARK-16421?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler updated SPARK-16421:
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Issue Type: Sub-task (was: Improvement)
Parent: SPARK-16260
> Improve output from ML
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https://issues.apache.org/jira/browse/SPARK-16403?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15365174#comment-15365174
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Bryan Cutler commented on SPARK-16403:
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I'm working on this
> Example cleanup and fix minor issues
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Bryan Cutler updated SPARK-16403:
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Priority: Trivial (was: Major)
> Example cleanup and fix minor issues
>
Bryan Cutler created SPARK-16403:
Summary: Example cleanup and fix minor issues
Key: SPARK-16403
URL: https://issues.apache.org/jira/browse/SPARK-16403
Project: Spark
Issue Type: Sub-task
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https://issues.apache.org/jira/browse/SPARK-16403?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler updated SPARK-16403:
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Description:
General cleanup of examples, focused on PySpark ML, to remove unused imports,
sync
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https://issues.apache.org/jira/browse/SPARK-15623?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15371229#comment-15371229
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Bryan Cutler commented on SPARK-15623:
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Hey [~holdenk], think I can close this off now or would you
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https://issues.apache.org/jira/browse/SPARK-16832?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15408190#comment-15408190
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Bryan Cutler commented on SPARK-16832:
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Yeah, I'm not sure of the reason myself, but I agree with
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Bryan Cutler updated SPARK-16260:
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Summary: ML Example Improvements and Cleanup (was: PySpark ML Example
Improvements and Cleanup)
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https://issues.apache.org/jira/browse/SPARK-15702?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler reopened SPARK-15702:
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I'm reopening this because I think the current programming guide accumulator
section is
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https://issues.apache.org/jira/browse/SPARK-16260?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler updated SPARK-16260:
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Description:
This parent task is to track a few possible improvements and cleanup for
PySpark
Bryan Cutler created SPARK-16932:
Summary: Programming-guide Accumulator section should be more
clear w.r.t new API
Key: SPARK-16932
URL: https://issues.apache.org/jira/browse/SPARK-16932
Project:
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https://issues.apache.org/jira/browse/SPARK-15702?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler closed SPARK-15702.
Resolution: Fixed
> Update document programming-guide accumulator section
>
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https://issues.apache.org/jira/browse/SPARK-16765?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15397994#comment-15397994
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Bryan Cutler commented on SPARK-16765:
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Was there some specific use of Pipelines with KMeans that
Bryan Cutler created SPARK-16800:
Summary: Fix Java Examples that throw exception
Key: SPARK-16800
URL: https://issues.apache.org/jira/browse/SPARK-16800
Project: Spark
Issue Type: Sub-task
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https://issues.apache.org/jira/browse/SPARK-16247?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15357548#comment-15357548
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Bryan Cutler commented on SPARK-16247:
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Great, glad that solved the problem! A cross-validation
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Bryan Cutler commented on SPARK-16247:
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I think you need to specify the {labelCol} in
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Bryan Cutler edited comment on SPARK-16247 at 6/29/16 3:53 PM:
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I think you
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https://issues.apache.org/jira/browse/SPARK-15009?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15360782#comment-15360782
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Bryan Cutler commented on SPARK-15009:
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At the time I reported this, it was blocked by SPARK-14087
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https://issues.apache.org/jira/browse/SPARK-19282?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15848963#comment-15848963
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Bryan Cutler commented on SPARK-19282:
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Is this another case of SPARK-10931? The PySpark ML models
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https://issues.apache.org/jira/browse/SPARK-18813?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15849132#comment-15849132
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Bryan Cutler commented on SPARK-18813:
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It would be nice to get some of the Python param/uid issues
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https://issues.apache.org/jira/browse/SPARK-19348?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15850705#comment-15850705
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Bryan Cutler commented on SPARK-19348:
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The problem here is with the @keyword_only decorator that is
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https://issues.apache.org/jira/browse/SPARK-19071?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15836958#comment-15836958
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Bryan Cutler commented on SPARK-19071:
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[~cyp] thanks for your interest. I agree with Nick that
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https://issues.apache.org/jira/browse/SPARK-19071?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15836957#comment-15836957
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Bryan Cutler commented on SPARK-19071:
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Thanks for the comments [~josephkb] and [~mlnick]. I'll
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https://issues.apache.org/jira/browse/SPARK-19357?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15836977#comment-15836977
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Bryan Cutler commented on SPARK-19357:
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I'm working on this
> Parallel Model Evaluation for ML
Bryan Cutler created SPARK-19357:
Summary: Parallel Model Evaluation for ML Pipeline Tuning
Key: SPARK-19357
URL: https://issues.apache.org/jira/browse/SPARK-19357
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-19357?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler updated SPARK-19357:
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Summary: Parallel Model Evaluation for ML Tuning (was: Parallel Model
Evaluation for ML
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https://issues.apache.org/jira/browse/SPARK-13534?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler updated SPARK-13534:
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Attachment: benchmark.py
Script for benchmarks
> Implement Apache Arrow serializer for Spark
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https://issues.apache.org/jira/browse/SPARK-19216?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15826632#comment-15826632
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Bryan Cutler commented on SPARK-19216:
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This is a valid issue, but is sort of a duplicate of
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https://issues.apache.org/jira/browse/SPARK-15018?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler updated SPARK-15018:
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Description:
When fitting a PySpark Pipeline with no stages, it should work as an identity
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https://issues.apache.org/jira/browse/SPARK-15018?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler updated SPARK-15018:
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Issue Type: Improvement (was: Bug)
> PySpark ML Pipeline fails when no stages set
>
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https://issues.apache.org/jira/browse/SPARK-15018?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler updated SPARK-15018:
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Summary: PySpark ML Pipeline raises unclear error when no stages set (was:
PySpark ML Pipeline
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https://issues.apache.org/jira/browse/SPARK-15018?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler updated SPARK-15018:
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Description:
When fitting a PySpark Pipeline with no stages, it should work as an identity
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https://issues.apache.org/jira/browse/SPARK-15018?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler updated SPARK-15018:
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Priority: Minor (was: Major)
> PySpark ML Pipeline fails when no stages set
>
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https://issues.apache.org/jira/browse/SPARK-16197?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler resolved SPARK-16197.
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Resolution: Won't Fix
This minor change is would be better addressed during a QA audit
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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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Bryan Cutler updated SPARK-17161:
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Summary: Add PySpark-ML JavaWrapper convenience function to create py4j
JavaArrays (was: Add
Bryan Cutler created SPARK-17161:
Summary: Add PySpark-ML JavaWrapper convienience function to
create py4j JavaArrays
Key: SPARK-17161
URL: https://issues.apache.org/jira/browse/SPARK-17161
Project:
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https://issues.apache.org/jira/browse/SPARK-17508?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15491163#comment-15491163
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Bryan Cutler commented on SPARK-17508:
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I had a similar discussion in this PR
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