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Xiangrui Meng commented on SPARK-24725:
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[~dbtsai] Apple Siri is a major user of S
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Xiangrui Meng updated SPARK-24726:
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Description:
In barrier mode, to run hybrid distributed DL training jobs, we need to provide
Xiangrui Meng created SPARK-24726:
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Summary: Discuss necessary info and access in barrier mode +
Standalone
Key: SPARK-24726
URL: https://issues.apache.org/jira/browse/SPARK-24726
Project: Spark
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Xiangrui Meng updated SPARK-24615:
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Shepherd: Xiangrui Meng
> Accelerator aware task scheduling for Spark
> --
Xiangrui Meng created SPARK-24725:
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Summary: Discuss necessary info and access in barrier mode + Mesos
Key: SPARK-24725
URL: https://issues.apache.org/jira/browse/SPARK-24725
Project: Spark
I
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Xiangrui Meng updated SPARK-24725:
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Description:
In barrier mode, to run hybrid distributed DL training jobs, we need to provide
Xiangrui Meng created SPARK-24724:
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Summary: Discuss necessary info and access in barrier mode +
Kubernetes
Key: SPARK-24724
URL: https://issues.apache.org/jira/browse/SPARK-24724
Project: Spark
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Xiangrui Meng updated SPARK-24724:
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Description:
In barrier mode, to run hybrid distributed DL training jobs, we need to provide
Xiangrui Meng created SPARK-24723:
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Summary: Discuss necessary info and access in barrier mode + YARN
Key: SPARK-24723
URL: https://issues.apache.org/jira/browse/SPARK-24723
Project: Spark
Is
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Xiangrui Meng commented on SPARK-24579:
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Addressed the inline comments in the doc.
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Xiangrui Meng updated SPARK-24719:
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Description:
ClusterEvaluator should support integer labels because we output integer labels
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Xiangrui Meng updated SPARK-24719:
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Description:
ClusterEvaluator should support integer labels because we output integer labels
Xiangrui Meng created SPARK-24719:
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Summary: ClusteringEvaluator supports integer type labels
Key: SPARK-24719
URL: https://issues.apache.org/jira/browse/SPARK-24719
Project: Spark
Issue Type
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Xiangrui Meng reassigned SPARK-24530:
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Assignee: Hyukjin Kwon
> Sphinx doesn't render autodoc_docstring_signature correctly (w
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Xiangrui Meng updated SPARK-24530:
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Summary: Sphinx doesn't render autodoc_docstring_signature correctly (with
Python 2?) and pysp
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Xiangrui Meng updated SPARK-24530:
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Summary: Sphinx doesn't render autodoc_docstring_signature correctly (using
Python 2?) (was:
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Xiangrui Meng commented on SPARK-24530:
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Confirmed that macOS, python 3, and Sphin
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Xiangrui Meng commented on SPARK-24530:
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[~dongjoon] [~hyukjin.kwon] Could you rep
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Xiangrui Meng updated SPARK-24615:
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Labels: Hydrogen SPIP (was: SPIP)
> Accelerator aware task scheduling for Spark
> ---
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Xiangrui Meng updated SPARK-24609:
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Description:
In Scala doc
([https://spark.apache.org/docs/2.3.0/api/scala/index.html#org.apac
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Xiangrui Meng updated SPARK-24609:
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Summary: PySpark/SparkR doc doesn't explain
RandomForestClassifier.featureSubsetStrategy well
Xiangrui Meng created SPARK-24609:
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Summary: PySpark doc doesn't explain
RandomForestClassifier.featureSubsetStrategy well
Key: SPARK-24609
URL: https://issues.apache.org/jira/browse/SPARK-24609
Proje
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Xiangrui Meng resolved SPARK-12436.
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Resolution: Resolved
Resolved by SPARK-23772 (an alternative solution to this JIRA)
> If al
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Xiangrui Meng resolved SPARK-24375.
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Resolution: Done
> Design sketch: support barrier scheduling in Apache Spark
> -
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Xiangrui Meng commented on SPARK-24375:
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I'm closing this Jira in favor of formal
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Xiangrui Meng reassigned SPARK-24580:
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Assignee: Jiang Xingbo (was: Xiangrui Meng)
> List scenarios to be handled by barrier
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Xiangrui Meng updated SPARK-24580:
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Description:
List scenarios to be handled by barrier execution mode to help the design. We
wi
Xiangrui Meng created SPARK-24582:
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Summary: Design: Barrier execution mode
Key: SPARK-24582
URL: https://issues.apache.org/jira/browse/SPARK-24582
Project: Spark
Issue Type: Story
Xiangrui Meng created SPARK-24581:
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Summary: Design: BarrierTaskContext.barrier()
Key: SPARK-24581
URL: https://issues.apache.org/jira/browse/SPARK-24581
Project: Spark
Issue Type: Story
Xiangrui Meng created SPARK-24580:
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Summary: List scenarios to be handled by barrier execution mode
properly
Key: SPARK-24580
URL: https://issues.apache.org/jira/browse/SPARK-24580
Project: Spark
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Xiangrui Meng updated SPARK-24579:
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Labels: Hydrogen (was: )
> SPIP: Standardize Optimized Data Exchange between Spark and DL/AI
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Xiangrui Meng updated SPARK-24579:
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Description:
(see attached SPIP pdf for more details)
At the crossroads of big data and AI, w
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Xiangrui Meng updated SPARK-24579:
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Attachment: [SPARK-24579] SPIP_ Standardize Optimized Data Exchange between
Apache Spark and D
Xiangrui Meng created SPARK-24579:
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Summary: SPIP: Standardize Optimized Data Exchange between Spark
and DL/AI frameworks
Key: SPARK-24579
URL: https://issues.apache.org/jira/browse/SPARK-24579
Projec
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Xiangrui Meng updated SPARK-24530:
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Description:
I generated python docs from master locally using `make html`. However, the
gene
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Xiangrui Meng updated SPARK-24530:
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Priority: Blocker (was: Major)
> pyspark.ml doesn't generate class docs correctly
> -
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Xiangrui Meng updated SPARK-24530:
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Attachment: Screen Shot 2018-06-12 at 8.23.18 AM.png
> pyspark.ml doesn't generate class docs
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Xiangrui Meng updated SPARK-24530:
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Attachment: Screen Shot 2018-06-12 at 8.23.29 AM.png
> pyspark.ml doesn't generate class docs
Xiangrui Meng created SPARK-24530:
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Summary: pyspark.ml doesn't generate class docs correctly
Key: SPARK-24530
URL: https://issues.apache.org/jira/browse/SPARK-24530
Project: Spark
Issue Type
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https://issues.apache.org/jira/browse/SPARK-15064?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-15064.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21501
[https://
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Xiangrui Meng resolved SPARK-19826.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21513
[https://
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Xiangrui Meng updated SPARK-22666:
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Target Version/s: 2.4.0
> Spark datasource for image format
>
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Xiangrui Meng commented on SPARK-22666:
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[~mhamilton] Do you want to take this tas
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Xiangrui Meng updated SPARK-22666:
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Shepherd: Xiangrui Meng
> Spark datasource for image format
>
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Xiangrui Meng resolved SPARK-24454.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21483
[https://
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Xiangrui Meng reassigned SPARK-24454:
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Assignee: Hyukjin Kwon
> ml.image doesn't have __all__ explicitly defined
> ---
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Xiangrui Meng reassigned SPARK-24477:
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Assignee: Hyukjin Kwon
> Import submodules under pyspark.ml by default
> --
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Xiangrui Meng resolved SPARK-24477.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21483
[https://
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Xiangrui Meng updated SPARK-15064:
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Comment: was deleted
(was: Yuhao will be OOF from May 29th to June 6th (annual leave and
conf
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Xiangrui Meng updated SPARK-24477:
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Description:
Right now, we do not import submodules under pyspark.ml by default. So users
can
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Xiangrui Meng updated SPARK-24454:
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Issue Type: Improvement (was: Bug)
> ml.image doesn't have __all__ explicitly defined
> -
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Xiangrui Meng commented on SPARK-24454:
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Updated this JIRA and created SPARK-24477
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Xiangrui Meng updated SPARK-24454:
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Priority: Minor (was: Major)
> ml.image doesn't have __all__ explicitly defined
> ---
Xiangrui Meng created SPARK-24477:
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Summary: Import submodules under pyspark.ml by default
Key: SPARK-24477
URL: https://issues.apache.org/jira/browse/SPARK-24477
Project: Spark
Issue Type: I
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Xiangrui Meng updated SPARK-24454:
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Description: ml/image.py doesn't have __all__ explicitly defined. It will
import all global na
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Xiangrui Meng updated SPARK-24454:
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Summary: ml.image doesn't have __all__ explicitly defined (was: ml.image
doesn't have default
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Xiangrui Meng updated SPARK-24374:
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Labels: Hydrogen SPIP (was: SPIP)
> SPIP: Support Barrier Scheduling in Apache Spark
> --
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Xiangrui Meng updated SPARK-19826:
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Shepherd: Weichen Xu
> spark.ml Python API for PIC
> ---
>
>
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Xiangrui Meng updated SPARK-24374:
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Epic Name: Support Barrier Execution Mode
> SPIP: Support Barrier Scheduling in Apache Spark
>
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Xiangrui Meng reassigned SPARK-19826:
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Assignee: Huaxin Gao
> spark.ml Python API for PIC
> ---
>
>
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Xiangrui Meng resolved SPARK-15784.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21493
[https://
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Xiangrui Meng resolved SPARK-24300.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21492
[https://
Xiangrui Meng created SPARK-24464:
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Summary: Unit tests for MLlib's Instrumentation
Key: SPARK-24464
URL: https://issues.apache.org/jira/browse/SPARK-24464
Project: Spark
Issue Type: Improvem
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Xiangrui Meng resolved SPARK-24290.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21347
[https://
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Xiangrui Meng reassigned SPARK-24290:
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Assignee: Lu Wang
> Instrumentation Improvement: add logNamedValue taking Array types
>
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Xiangrui Meng commented on SPARK-24374:
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[~leftnoteasy] Thanks for your input!
{
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Xiangrui Meng commented on SPARK-15784:
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Discussed with [~WeichenXu123] offline. I
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Xiangrui Meng updated SPARK-24454:
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Description:
{code:java}
from pyspark import ml
ml.image{code}
The ml.image line will fail be
Xiangrui Meng created SPARK-24454:
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Summary: ml.image doesn't have default imports
Key: SPARK-24454
URL: https://issues.apache.org/jira/browse/SPARK-24454
Project: Spark
Issue Type: Bug
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Xiangrui Meng resolved SPARK-24146.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21265
[https://
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Xiangrui Meng commented on SPARK-24374:
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[~galv] Thanks for your feedback!
* SPARK
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Xiangrui Meng commented on SPARK-24375:
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[~jiangxb1987] Could you summarize the des
Xiangrui Meng created SPARK-24375:
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Summary: Design sketch: support barrier scheduling in Apache Spark
Key: SPARK-24375
URL: https://issues.apache.org/jira/browse/SPARK-24375
Project: Spark
I
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Xiangrui Meng updated SPARK-24374:
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Shepherd: Reynold Xin
> SPIP: Support Barrier Scheduling in Apache Spark
>
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Xiangrui Meng updated SPARK-24374:
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Issue Type: Epic (was: Story)
> SPIP: Support Barrier Scheduling in Apache Spark
> ---
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Xiangrui Meng updated SPARK-24374:
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Description:
(See details in the linked/attached SPIP doc.)
{quote}
The proposal here is to a
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Xiangrui Meng updated SPARK-24374:
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Attachment: SPIP_ Support Barrier Scheduling in Apache Spark.pdf
> SPIP: Support Barrier Schedu
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Xiangrui Meng updated SPARK-24374:
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Description:
(See details in the linked/attached SPIP doc.)
The proposal here is to add a new
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Xiangrui Meng updated SPARK-24374:
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Labels: SPIP (was: )
> SPIP: Support Barrier Scheduling in Apache Spark
>
Xiangrui Meng created SPARK-24374:
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Summary: SPIP: Support Barrier Scheduling in Apache Spark
Key: SPARK-24374
URL: https://issues.apache.org/jira/browse/SPARK-24374
Project: Spark
Issue Type
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https://issues.apache.org/jira/browse/SPARK-22884?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-22884.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 21358
[https://g
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Xiangrui Meng resolved SPARK-24115.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 21340
[https://g
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Xiangrui Meng reassigned SPARK-24115:
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Assignee: Bago Amirbekian
> improve instrumentation for spark.ml.tuning
> --
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Xiangrui Meng reassigned SPARK-24300:
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Assignee: Lu Wang
> generateLDAData in ml.cluster.LDASuite didn't set seed correctly
> -
Xiangrui Meng created SPARK-24300:
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Summary: generateLDAData in ml.cluster.LDASuite didn't set seed
correctly
Key: SPARK-24300
URL: https://issues.apache.org/jira/browse/SPARK-24300
Project: Spark
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Xiangrui Meng reassigned SPARK-24146:
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Assignee: Weichen Xu
> spark.ml parity for sequential pattern mining - PrefixSpan: Pytho
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https://issues.apache.org/jira/browse/SPARK-24231?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-24231.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 21335
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https://issues.apache.org/jira/browse/SPARK-24231?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng reassigned SPARK-24231:
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Assignee: Lu Wang
> Python API: Provide evaluateEachIteration method or equivalent for s
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https://issues.apache.org/jira/browse/SPARK-24155?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng reassigned SPARK-24155:
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Assignee: Lu Wang
> Instrumentation improvement for clustering
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https://issues.apache.org/jira/browse/SPARK-24155?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-24155.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 21218
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https://issues.apache.org/jira/browse/SPARK-24132?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng reassigned SPARK-24132:
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Assignee: Lu Wang
> Instrumentation improvement for classification
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https://issues.apache.org/jira/browse/SPARK-24132?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-24132.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 21204
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https://issues.apache.org/jira/browse/SPARK-23975?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-23975.
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Resolution: Fixed
Fix Version/s: 2.4.0
> Allow Clustering to take Arrays of Double as
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https://issues.apache.org/jira/browse/SPARK-10383?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-10383.
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Resolution: Won't Do
Target Version/s: (was: )
> Sync example code between API do
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https://issues.apache.org/jira/browse/SPARK-18924?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng reassigned SPARK-18924:
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Assignee: (was: Xiangrui Meng)
> Improve collect/createDataFrame performance in Spar
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https://issues.apache.org/jira/browse/SPARK-7924?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-7924.
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Resolution: Done
> Consolidate example code in MLlib
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https://issues.apache.org/jira/browse/SPARK-5874?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-5874.
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Resolution: Done
> How to improve the current ML pipeline API?
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https://issues.apache.org/jira/browse/SPARK-12285?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-12285.
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Resolution: Done
> MLlib user guide: umbrella for missing sections
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https://issues.apache.org/jira/browse/SPARK-23772?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng reassigned SPARK-23772:
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Assignee: Takeshi Yamamuro
> Provide an option to ignore column of all null values or em
Xiangrui Meng created SPARK-23772:
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Summary: Provide an option to ignore column of all null values or
empty map/array during JSON schema inference
Key: SPARK-23772
URL: https://issues.apache.org/jira/browse/SPARK-
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