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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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Bryan Cutler updated SPARK-16260:
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Description:
This parent task is to track a few possible improvements and cleanup for
PySpark
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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-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 commented on SPARK-16832:
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The default seed value is a constant, this is the trait
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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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Bryan Cutler updated SPARK-16800:
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Description: Some Java examples fail to run due to an exception thrown when
using
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-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
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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-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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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
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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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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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Bryan Cutler commented on SPARK-16421:
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I'll be working on this once the blocking issue is resolved,
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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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-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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Bryan Cutler commented on SPARK-16260:
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I have a couple tasks I still plan to add here, I will close
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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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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 edited comment on SPARK-16247 at 6/29/16 3:53 PM:
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I think you
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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 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-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
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:
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-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:
Bryan Cutler created SPARK-16079:
Summary: PySpark ML classification missing import of
DecisionTreeRegressionModel for GBTClassificationModel
Key: SPARK-16079
URL:
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https://issues.apache.org/jira/browse/SPARK-15861?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15331975#comment-15331975
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Bryan Cutler commented on SPARK-15861:
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If you change your function to this
{noformat}
def
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Bryan Cutler updated SPARK-15741:
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Description: Several places in PySpark ML have Params._setDefault with a
seed param equal to
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Bryan Cutler reopened SPARK-15741:
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Reopened as I feel this still should be cleaned up.
> PySpark Cleanup of _setDefault with
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Bryan Cutler commented on SPARK-15861:
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{{mapPartitions}} will expect the function to return a
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Bryan Cutler edited comment on SPARK-15861 at 6/13/16 9:05 PM:
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Bryan Cutler commented on SPARK-15861:
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[~gbow...@fastmail.co.uk]
{{mapPartitions}} expects a
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Bryan Cutler commented on SPARK-15741:
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>From what I gathered, explicitly setting a seed to {{None}}
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Bryan Cutler closed SPARK-15741.
Resolution: Invalid
Looks like I jumped the gun here, None values are not ignored and seems like
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Bryan Cutler updated SPARK-15741:
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Issue Type: Improvement (was: Sub-task)
Parent: (was: SPARK-14771)
> PySpark
Bryan Cutler created SPARK-15741:
Summary: PySpark Cleanup of _setDefault with seed=None
Key: SPARK-15741
URL: https://issues.apache.org/jira/browse/SPARK-15741
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-15623?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15313226#comment-15313226
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Bryan Cutler commented on SPARK-15623:
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I took another spin through this and linked a couple of
Bryan Cutler created SPARK-15738:
Summary: PySpark ml.feature RFormula missing string representation
displaying formula
Key: SPARK-15738
URL: https://issues.apache.org/jira/browse/SPARK-15738
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Bryan Cutler commented on SPARK-15009:
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note - also similar constructor for StringIndexerModel
>
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Bryan Cutler commented on SPARK-12666:
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This seems like it is more of an issue with SBT
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Bryan Cutler edited comment on SPARK-15623 at 5/27/16 10:11 PM:
I was
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Bryan Cutler commented on SPARK-15623:
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I was only able to quickly go though the user guide and api
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Bryan Cutler updated SPARK-15623:
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Summary: 2.0 python coverage ml.feature (was: 2.0 python converage
ml.feature)
> 2.0 python
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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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Bryan Cutler commented on SPARK-15497:
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This was added in SPARK-11888 and will be in Spark 2.0.
>
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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Bryan Cutler commented on SPARK-15456:
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I can submit a fix for this
> PySpark Shell fails to create
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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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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-15100?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15289402#comment-15289402
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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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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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I can do a PR to update CountVectorizer and HashingTF
>
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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-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-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-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-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-14472?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15231320#comment-15231320
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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-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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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
>
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-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,
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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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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-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-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-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: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-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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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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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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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-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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https://issues.apache.org/jira/browse/SPARK-10086?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15145628#comment-15145628
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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-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-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-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
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https://issues.apache.org/jira/browse/SPARK-11219?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15090292#comment-15090292
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Bryan Cutler commented on SPARK-11219:
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That's my fault [~josephkb], I was instructing to go up to
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https://issues.apache.org/jira/browse/SPARK-12701?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15088429#comment-15088429
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Bryan Cutler commented on SPARK-12701:
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I can submit a PR for this.
> Logging FileAppender should
Bryan Cutler created SPARK-12701:
Summary: Logging FileAppender should use join to ensure thread is
finished
Key: SPARK-12701
URL: https://issues.apache.org/jira/browse/SPARK-12701
Project: Spark
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