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zhengruifeng edited comment on SPARK-34448 at 2/26/21, 4:29 AM:
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zhengruifeng commented on SPARK-34448:
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[~srowen] [~weichenxu123] [~ykerzhner]
M
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zhengruifeng commented on SPARK-34448:
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[~srowen] Thanks for pinging me, I am going
zhengruifeng created SPARK-34470:
Summary: VectorSlicer use ordering if possible
Key: SPARK-34470
URL: https://issues.apache.org/jira/browse/SPARK-34470
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-34356?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng updated SPARK-34356:
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Summary: OVR transform fix potential column conflict (was: OVR transform
avoid potential column
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zhengruifeng reassigned SPARK-34356:
Assignee: zhengruifeng
> OVR transform avoid potential column conflict
>
zhengruifeng created SPARK-34356:
Summary: OVR transform avoid potential column conflict
Key: SPARK-34356
URL: https://issues.apache.org/jira/browse/SPARK-34356
Project: Spark
Issue Type: Imp
zhengruifeng created SPARK-34353:
Summary: CollectLimitExec avoid shuffle if input rdd has single
partition
Key: SPARK-34353
URL: https://issues.apache.org/jira/browse/SPARK-34353
Project: Spark
zhengruifeng created SPARK-34307:
Summary: TakeOrderedAndProjectExec avoid shuffle if input rdd has
single partition
Key: SPARK-34307
URL: https://issues.apache.org/jira/browse/SPARK-34307
Project: Sp
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zhengruifeng resolved SPARK-34256.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 31354
[https://gi
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zhengruifeng reassigned SPARK-34256:
Assignee: zhengruifeng
> VectorSlicer refine numFeatures checking and toString method
> -
zhengruifeng created SPARK-34291:
Summary: LSH hashDistance optimization
Key: SPARK-34291
URL: https://issues.apache.org/jira/browse/SPARK-34291
Project: Spark
Issue Type: Improvement
zhengruifeng created SPARK-34256:
Summary: VectorSlicer refine numFeatures checking and toString
method
Key: SPARK-34256
URL: https://issues.apache.org/jira/browse/SPARK-34256
Project: Spark
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zhengruifeng resolved SPARK-34189.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 31276
[https://gi
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zhengruifeng reassigned SPARK-34189:
Assignee: zhengruifeng (was: Apache Spark)
> w2v findSynonyms optimization
> ---
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zhengruifeng resolved SPARK-34220.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 31313
[https://gi
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zhengruifeng reassigned SPARK-34220:
Assignee: zhengruifeng
> BucketedRandomProjectionLSH transform opt
>
zhengruifeng created SPARK-34220:
Summary: BucketedRandomProjectionLSH transform opt
Key: SPARK-34220
URL: https://issues.apache.org/jira/browse/SPARK-34220
Project: Spark
Issue Type: Improve
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zhengruifeng reassigned SPARK-34189:
Assignee: zhengruifeng
> w2v findSynonyms optimization
> -
>
zhengruifeng created SPARK-34189:
Summary: w2v findSynonyms optimization
Key: SPARK-34189
URL: https://issues.apache.org/jira/browse/SPARK-34189
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-34047?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-34047.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 31090
[https://gi
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zhengruifeng reassigned SPARK-34047:
Assignee: zhengruifeng
> save tree models in single partition
> -
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zhengruifeng resolved SPARK-34106.
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Resolution: Duplicate
> Hide FValueTest and AnovaTest
> -
>
>
zhengruifeng created SPARK-34106:
Summary: Hide FValueTest and AnovaTest
Key: SPARK-34106
URL: https://issues.apache.org/jira/browse/SPARK-34106
Project: Spark
Issue Type: Sub-task
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zhengruifeng reassigned SPARK-34106:
Assignee: zhengruifeng
> Hide FValueTest and AnovaTest
> -
>
zhengruifeng created SPARK-34093:
Summary: param maxDepth should check upper bound
Key: SPARK-34093
URL: https://issues.apache.org/jira/browse/SPARK-34093
Project: Spark
Issue Type: Improveme
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zhengruifeng reassigned SPARK-34045:
Assignee: zhengruifeng
> OneVsRestModel.transform should not call setter of submodels
> -
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zhengruifeng resolved SPARK-34045.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 31086
[https://gi
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zhengruifeng resolved SPARK-33773.
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Resolution: Not A Problem
> expose intermediateStorageLevel in mllib
> ---
zhengruifeng created SPARK-34047:
Summary: save tree models in single partition
Key: SPARK-34047
URL: https://issues.apache.org/jira/browse/SPARK-34047
Project: Spark
Issue Type: Improvement
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zhengruifeng updated SPARK-34045:
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Description:
featuresCol of submodels maybe changed in transform:
{code:java}
scala> val df =
zhengruifeng created SPARK-34045:
Summary: OneVsRestModel.transform should not call setter of
submodels
Key: SPARK-34045
URL: https://issues.apache.org/jira/browse/SPARK-34045
Project: Spark
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zhengruifeng edited comment on SPARK-33398 at 12/22/20, 11:50 AM:
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zhengruifeng commented on SPARK-33398:
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[~nmarcott] This issue also exists in RF/G
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zhengruifeng commented on SPARK-33398:
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[~nmarcott] I can reproduce this failure,
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zhengruifeng resolved SPARK-31948.
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Resolution: Not A Problem
> expose mapSideCombine in aggByKey/reduceByKey/foldByKey
>
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zhengruifeng resolved SPARK-31976.
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Resolution: Resolved
> use MemoryUsage to control the size of block
>
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https://issues.apache.org/jira/browse/SPARK-31661?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-31661.
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Resolution: Resolved
> Document usage of blockSize
> ---
>
>
zhengruifeng created SPARK-33773:
Summary: expose intermediateStorageLevel in mllib
Key: SPARK-33773
URL: https://issues.apache.org/jira/browse/SPARK-33773
Project: Spark
Issue Type: Improvem
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https://issues.apache.org/jira/browse/SPARK-33609?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-33609.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 30548
[https://gi
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zhengruifeng reassigned SPARK-33609:
Assignee: zhengruifeng
> word2vec reduce broadcast size
> --
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zhengruifeng resolved SPARK-32320.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 29122
[https://gi
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zhengruifeng reassigned SPARK-32320:
Assignee: Fokko Driesprong
> Remove mutable default arguments
> -
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zhengruifeng resolved SPARK-33610.
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Resolution: Resolved
> Imputer transform skip head() job
> -
>
zhengruifeng created SPARK-33610:
Summary: Imputer transform skip head() job
Key: SPARK-33610
URL: https://issues.apache.org/jira/browse/SPARK-33610
Project: Spark
Issue Type: Improvement
zhengruifeng created SPARK-33609:
Summary: word2vec reduce broadcast size
Key: SPARK-33609
URL: https://issues.apache.org/jira/browse/SPARK-33609
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-33518?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng updated SPARK-33518:
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Description:
There were a lot of works on improving ALS's {{recommendForAll}}
For now, I found
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zhengruifeng updated SPARK-33518:
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Affects Version/s: (was: 3.2.0)
3.1.0
> Improve performance of ML ALS
zhengruifeng created SPARK-33518:
Summary: Improve performance of ML ALS recommendForAll by GEMV
Key: SPARK-33518
URL: https://issues.apache.org/jira/browse/SPARK-33518
Project: Spark
Issue T
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zhengruifeng updated SPARK-33466:
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Component/s: PySpark
> Imputer support mode(most_frequent) strategy
> --
zhengruifeng created SPARK-33466:
Summary: Imputer support mode(most_frequent) strategy
Key: SPARK-33466
URL: https://issues.apache.org/jira/browse/SPARK-33466
Project: Spark
Issue Type: New
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https://issues.apache.org/jira/browse/SPARK-32691?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng reassigned SPARK-32691:
Assignee: huangtianhua (was: zhengruifeng)
> Update commons-crypto to v1.1.0
> -
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zhengruifeng reassigned SPARK-32691:
Assignee: zhengruifeng
> Test org.apache.spark.DistributedSuite failed on arm64 jenkins
>
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zhengruifeng commented on SPARK-32691:
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[~huangtianhua] It looks like that this is
zhengruifeng created SPARK-33111:
Summary: aft transform optimization
Key: SPARK-33111
URL: https://issues.apache.org/jira/browse/SPARK-33111
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-32907?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng updated SPARK-32907:
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Attachment: blockify_svc_perf_20201010.xlsx
> adaptively blockify instances
> --
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zhengruifeng commented on SPARK-32691:
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[~huangtianhua] [~dongjoon] I just see tha
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zhengruifeng reassigned SPARK-32974:
Assignee: zhengruifeng
> FeatureHasher transform optimization
> -
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zhengruifeng resolved SPARK-32974.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 29850
[https://gi
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zhengruifeng commented on SPARK-32973:
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yes, "real" is ignored here.
Since it has
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zhengruifeng updated SPARK-32973:
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Component/s: Documentation
> FeatureHasher does not check categoricalCols in inputCols
> ---
zhengruifeng created SPARK-32974:
Summary: FeatureHasher transform optimization
Key: SPARK-32974
URL: https://issues.apache.org/jira/browse/SPARK-32974
Project: Spark
Issue Type: Improvement
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zhengruifeng commented on SPARK-32973:
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ping [~srowen] [~huaxingao] [~mlnick]
>
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zhengruifeng updated SPARK-32973:
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Description:
doc related to {{categoricalCols}}:
{code:java}
Numeric columns to treat as categor
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zhengruifeng updated SPARK-32973:
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Description:
doc related to {{categoricalCols}}:
{code:java}
Numeric columns to treat as categor
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zhengruifeng updated SPARK-32973:
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Description:
doc related to {{categoricalCols}}:
{code:java}
Numeric columns to treat as categor
zhengruifeng created SPARK-32973:
Summary: FeatureHasher does not check categoricalCols in inputCols
Key: SPARK-32973
URL: https://issues.apache.org/jira/browse/SPARK-32973
Project: Spark
Iss
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zhengruifeng updated SPARK-32973:
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Description: in doc related to
> FeatureHasher does not check categoricalCols in inputCols
> ---
zhengruifeng created SPARK-32907:
Summary: adaptively blockify instances
Key: SPARK-32907
URL: https://issues.apache.org/jira/browse/SPARK-32907
Project: Spark
Issue Type: Sub-task
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https://issues.apache.org/jira/browse/SPARK-28958?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-28958.
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Resolution: Resolved
> pyspark.ml function parity
> --
>
>
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zhengruifeng commented on SPARK-29967:
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[~YuQiang Ye] I open ticket SPARK-32676 for
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zhengruifeng updated SPARK-32676:
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Description:
In the .mllib side, if the storageLevel of input {{data}} is always ignored and
ca
zhengruifeng created SPARK-32676:
Summary: Fix double caching in KMeans/BiKMeans
Key: SPARK-32676
URL: https://issues.apache.org/jira/browse/SPARK-32676
Project: Spark
Issue Type: Improvement
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zhengruifeng commented on SPARK-29967:
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[~YuQiang Ye] can you provide more details
zhengruifeng created SPARK-32457:
Summary: logParam thresholds in DT/GBT/FM/LR/MLP
Key: SPARK-32457
URL: https://issues.apache.org/jira/browse/SPARK-32457
Project: Spark
Issue Type: Improvem
zhengruifeng created SPARK-32455:
Summary: LogisticRegressionModel prediction optimization
Key: SPARK-32455
URL: https://issues.apache.org/jira/browse/SPARK-32455
Project: Spark
Issue Type: I
zhengruifeng created SPARK-32384:
Summary: repartitionAndSortWithinPartitions avoid shuffle with
same partitioner
Key: SPARK-32384
URL: https://issues.apache.org/jira/browse/SPARK-32384
Project: Spark
zhengruifeng created SPARK-32298:
Summary: tree models prediction optimization
Key: SPARK-32298
URL: https://issues.apache.org/jira/browse/SPARK-32298
Project: Spark
Issue Type: Improvement
zhengruifeng created SPARK-32202:
Summary: tree models auto infer compact integer type
Key: SPARK-32202
URL: https://issues.apache.org/jira/browse/SPARK-32202
Project: Spark
Issue Type: Impro
zhengruifeng created SPARK-32164:
Summary: GeneralizedLinearRegressionSummary optimization
Key: SPARK-32164
URL: https://issues.apache.org/jira/browse/SPARK-32164
Project: Spark
Issue Type: I
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https://issues.apache.org/jira/browse/SPARK-3181?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17148452#comment-17148452
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zhengruifeng commented on SPARK-3181:
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I am working on blockify+gemv/gemm for better
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zhengruifeng updated SPARK-32060:
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Attachment: (was: image-2020-06-28-18-05-28-867.png)
> Huber loss Convergence
>
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zhengruifeng edited comment on SPARK-32060 at 6/30/20, 8:20 AM:
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zhengruifeng edited comment on SPARK-32060 at 6/30/20, 8:17 AM:
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zhengruifeng commented on SPARK-32060:
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I found that the optimization of Huber Loss
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zhengruifeng updated SPARK-32060:
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Description:
|performace test in https://issues.apache.org/jira/browse/SPARK-31783,
Huber loss
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zhengruifeng commented on SPARK-32060:
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According to the convergence curves of diff
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zhengruifeng updated SPARK-32060:
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Attachment: image-2020-06-28-18-05-28-867.png
> Huber loss Convergence
> --
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zhengruifeng updated SPARK-32060:
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Attachment: huber.xlsx
> Huber loss Convergence
> --
>
> Key
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zhengruifeng updated SPARK-32060:
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Attachment: (was: huber.xlsx)
> Huber loss Convergence
> --
>
>
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zhengruifeng edited comment on SPARK-32060 at 6/28/20, 8:34 AM:
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zhengruifeng edited comment on SPARK-32060 at 6/28/20, 8:34 AM:
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zhengruifeng updated SPARK-32060:
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Attachment: huber.xlsx
> Huber loss Convergence
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>
> Key
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zhengruifeng commented on SPARK-32060:
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{code:java}
import org.apache.spark.ml.regr
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zhengruifeng updated SPARK-32060:
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Description:
|performace test in https://issues.apache.org/jira/browse/SPARK-31783,
Huber loss
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zhengruifeng updated SPARK-32060:
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Attachment: (was: huber.xlsx)
> Huber loss Convergence
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>
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zhengruifeng updated SPARK-32060:
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Attachment: huber.xlsx
> Huber loss Convergence
> --
>
> Key
zhengruifeng created SPARK-32061:
Summary: potential regression if use memoryUsage instead of numRows
Key: SPARK-32061
URL: https://issues.apache.org/jira/browse/SPARK-32061
Project: Spark
Is
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zhengruifeng updated SPARK-32060:
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Description:
|performace test in https://issues.apache.org/jira/browse/SPARK-31783,
Huber loss s
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zhengruifeng updated SPARK-32060:
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Parent: SPARK-30641
Issue Type: Sub-task (was: Bug)
> Huber loss Convergence
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