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zhengruifeng edited comment on SPARK-22075 at 9/20/17 9:48 AM:
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zhengruifeng updated SPARK-22075:
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Summary: GBTs forgot to unpersist datasets cached by Checkpointer (was:
GBTs/Pregel forgot to un
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zhengruifeng updated SPARK-22075:
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Component/s: (was: GraphX)
> GBTs forgot to unpersist datasets cached by Checkpointer
> -
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zhengruifeng updated SPARK-22075:
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Summary: GBTs/Pregel forgot to unpersist datasets cached by Checkpointer
(was: GBTs forgot to un
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zhengruifeng updated SPARK-22075:
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Component/s: GraphX
> GBTs forgot to unpersist datasets cached by PeriodicRDDCheckpointer
> -
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zhengruifeng commented on SPARK-22075:
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Same issue seems exist in {{Pregel}}, each c
zhengruifeng created SPARK-22075:
Summary: GBTs forgot to unpersist datasets cached by
PeriodicRDDCheckpointer
Key: SPARK-22075
URL: https://issues.apache.org/jira/browse/SPARK-22075
Project: Spark
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zhengruifeng edited comment on SPARK-21972 at 9/19/17 8:54 AM:
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zhengruifeng commented on SPARK-21972:
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Since persistence handling is very algorithm
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zhengruifeng updated SPARK-22009:
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Description:
I test on a dataset of about 13M instances, and found that using
`treeAggregate` gi
zhengruifeng created SPARK-22009:
Summary: Using treeAggregate improve some algs
Key: SPARK-22009
URL: https://issues.apache.org/jira/browse/SPARK-22009
Project: Spark
Issue Type: Improvement
zhengruifeng created SPARK-21879:
Summary: Should Scalers handel NaN values?
Key: SPARK-21879
URL: https://issues.apache.org/jira/browse/SPARK-21879
Project: Spark
Issue Type: Question
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zhengruifeng updated SPARK-20711:
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Summary: MultivariateOnlineSummarizer incorrect min/max for NaN value
(was: MultivariateOnlineSu
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zhengruifeng commented on SPARK-20711:
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[~WeichenXu123] I notice that you have just
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zhengruifeng reopened SPARK-20711:
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> MultivariateOnlineSummarizer incorrect min/max for identical NaN feature
> --
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zhengruifeng commented on SPARK-21742:
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[~srowen] Yes, if we cache the input dataset
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zhengruifeng closed SPARK-20711.
Resolution: Not A Problem
> MultivariateOnlineSummarizer incorrect min/max for identical NaN featur
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zhengruifeng commented on SPARK-21742:
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[~srowen] I cache the dataset in that test,
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zhengruifeng commented on SPARK-16473:
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If the {{sparseDataset}} in {{BisectingKMea
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zhengruifeng commented on SPARK-21742:
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[~srowen] I create {{random}} and {{rdd}} tw
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zhengruifeng updated SPARK-21742:
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Description:
I found that {{BisectingKMeans}} will generate different models if the input is
cac
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zhengruifeng commented on SPARK-21742:
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[~mlnick] The seed is already fixed. It look
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zhengruifeng updated SPARK-21742:
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Description:
I found that {{BisectingKMeans}} will generate different models if the input is
cac
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zhengruifeng updated SPARK-21742:
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Description:
I found that {{BisectingKMeans}} will generate different models if the input is
cac
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zhengruifeng updated SPARK-21742:
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Description:
I found that {{BisectingKMeans}} will generate different models if the input is
cac
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zhengruifeng commented on SPARK-21742:
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[~srowen] you are right. When I create the s
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zhengruifeng edited comment on SPARK-21742 at 8/16/17 7:40 AM:
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zhengruifeng commented on SPARK-21742:
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[~srowen] I retest it in different spark-she
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zhengruifeng commented on SPARK-21742:
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[~srowen] I set the seed for generate datase
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zhengruifeng updated SPARK-21742:
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Summary: BisectingKMeans generate different models with/without caching
(was: BisectingKMeans ge
zhengruifeng created SPARK-21742:
Summary: BisectingKMeans generate different results with/without
caching
Key: SPARK-21742
URL: https://issues.apache.org/jira/browse/SPARK-21742
Project: Spark
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zhengruifeng commented on SPARK-21690:
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The corresponding PR is here https://github.
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zhengruifeng edited comment on SPARK-21690 at 8/11/17 6:06 AM:
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zhengruifeng commented on SPARK-21690:
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[~facai] Thanks, but I already send a PR for
zhengruifeng created SPARK-21690:
Summary: one-pass imputer
Key: SPARK-21690
URL: https://issues.apache.org/jira/browse/SPARK-21690
Project: Spark
Issue Type: Improvement
Components
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zhengruifeng closed SPARK-20762.
Resolution: Not A Problem
> Make String Params Case-Insensitive
> -
zhengruifeng created SPARK-21388:
Summary: GBT inherit from HasStepSize & LInearSVC/Binarizer from
HasThreshold
Key: SPARK-21388
URL: https://issues.apache.org/jira/browse/SPARK-21388
Project: Spark
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zhengruifeng commented on SPARK-14174:
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[~mlnick] I send a new PR for MiniBatch KMea
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zhengruifeng updated SPARK-14174:
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Description:
The MiniBatchKMeans is a variant of the KMeans algorithm which uses
mini-batches to
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zhengruifeng updated SPARK-14174:
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Summary: Implement the Mini-Batch KMeans (was: Accelerate KMeans via
Mini-Batch EM)
> Implement
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zhengruifeng updated SPARK-14174:
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Attachment: MBKM.xlsx
> Implement the Mini-Batch KMeans
> ---
>
>
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zhengruifeng updated SPARK-14174:
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Attachment: (was: MiniBatchKMeans_Performance.pdf)
> Accelerate KMeans via Mini-Batch EM
> --
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zhengruifeng updated SPARK-14174:
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Attachment: (was: MiniBatchKMeans_Performance_II.pdf)
> Accelerate KMeans via Mini-Batch EM
>
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zhengruifeng closed SPARK-19057.
Resolution: Won't Fix
> Instance weights must be non-negative
> ---
zhengruifeng created SPARK-20932:
Summary: CountVectorizer support handle persistence
Key: SPARK-20932
URL: https://issues.apache.org/jira/browse/SPARK-20932
Project: Spark
Issue Type: Improv
zhengruifeng created SPARK-20930:
Summary: Destroy broadcasted centers after computing cost
Key: SPARK-20930
URL: https://issues.apache.org/jira/browse/SPARK-20930
Project: Spark
Issue Type:
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zhengruifeng commented on SPARK-14174:
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[~mlnick] [~sethah] I am sorry to say that
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zhengruifeng commented on SPARK-14174:
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[~mlnick] OK, I have updated the attached pe
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zhengruifeng updated SPARK-14174:
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Attachment: MiniBatchKMeans_Performance_II.pdf
> Accelerate KMeans via Mini-Batch EM
> --
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zhengruifeng commented on SPARK-14174:
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[~mlnick] I attach the last test result.
I f
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zhengruifeng updated SPARK-14174:
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Attachment: MiniBatchKMeans_Performance.pdf
> Accelerate KMeans via Mini-Batch EM
> -
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zhengruifeng updated SPARK-14174:
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Attachment: (was: MiniBatchKMeans_Performance.pdf)
> Accelerate KMeans via Mini-Batch EM
> --
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zhengruifeng updated SPARK-14174:
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Attachment: MiniBatchKMeans_Performance.pdf
> Accelerate KMeans via Mini-Batch EM
> -
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zhengruifeng commented on SPARK-14174:
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[~chrisfalter] Agree that it's better to sup
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zhengruifeng edited comment on SPARK-14174 at 5/23/17 6:12 AM:
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zhengruifeng commented on SPARK-14174:
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[~mlnick] I make some performace experiments
zhengruifeng created SPARK-20849:
Summary: Document R DecisionTree
Key: SPARK-20849
URL: https://issues.apache.org/jira/browse/SPARK-20849
Project: Spark
Issue Type: Improvement
Com
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zhengruifeng updated SPARK-20762:
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Description:
Make String Params (excpet Cols) case-insensitve:
{{solver}}
{{modelType}}
{{initMod
zhengruifeng created SPARK-20762:
Summary: Make String Params Case-Insensitive
Key: SPARK-20762
URL: https://issues.apache.org/jira/browse/SPARK-20762
Project: Spark
Issue Type: Improvement
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zhengruifeng updated SPARK-20669:
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Priority: Minor (was: Trivial)
> LogisticRegression family should be case insensitive
> ---
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zhengruifeng commented on SPARK-15767:
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I will have a try, if nobody work on it.
>
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zhengruifeng commented on SPARK-20711:
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[~mlnick] It seems that in current implement
zhengruifeng created SPARK-20711:
Summary: MultivariateOnlineSummarizer incorrect min/max for
identical NaN feature
Key: SPARK-20711
URL: https://issues.apache.org/jira/browse/SPARK-20711
Project: Spa
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zhengruifeng closed SPARK-20673.
Resolution: Duplicate
> LDA `optimizer` do not really support case insensitive
> -
zhengruifeng created SPARK-20673:
Summary: LDA `optimizer` do not really support case insensitive
Key: SPARK-20673
URL: https://issues.apache.org/jira/browse/SPARK-20673
Project: Spark
Issue
zhengruifeng created SPARK-20669:
Summary: LogisticRegression family should be case insensitive
Key: SPARK-20669
URL: https://issues.apache.org/jira/browse/SPARK-20669
Project: Spark
Issue T
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zhengruifeng closed SPARK-20056.
Resolution: Not A Problem
> IsotonicRegression support Numeric features
> -
zhengruifeng created SPARK-20041:
Summary: Update docs for NaN handling in approxQuantile
Key: SPARK-20041
URL: https://issues.apache.org/jira/browse/SPARK-20041
Project: Spark
Issue Type: Im
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zhengruifeng commented on SPARK-18608:
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[~mlnick][~srowen] [~yuhaoyan] What's your o
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zhengruifeng commented on SPARK-19808:
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[~srowen] Agreed. Changing the default may c
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zhengruifeng closed SPARK-19808.
Resolution: Not A Problem
> About the default blocking arg in unpersist
> -
zhengruifeng created SPARK-19808:
Summary: About the default blocking arg in unpersist
Key: SPARK-19808
URL: https://issues.apache.org/jira/browse/SPARK-19808
Project: Spark
Issue Type: Quest
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zhengruifeng commented on SPARK-18608:
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[~mlnick] [~yuhaoyan] [~srowen] I think if w
zhengruifeng created SPARK-19704:
Summary: AFTSurvivalRegression should support numeric censorCol
Key: SPARK-19704
URL: https://issues.apache.org/jira/browse/SPARK-19704
Project: Spark
Issue
zhengruifeng created SPARK-19694:
Summary: Add missing 'setTopicDistributionCol' for LDAModel
Key: SPARK-19694
URL: https://issues.apache.org/jira/browse/SPARK-19694
Project: Spark
Issue Type
zhengruifeng created SPARK-19679:
Summary: Destroy broadcasted object without blocking
Key: SPARK-19679
URL: https://issues.apache.org/jira/browse/SPARK-19679
Project: Spark
Issue Type: Impro
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zhengruifeng commented on SPARK-18608:
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[~mlnick] I will send a PR for this accordin
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zhengruifeng commented on SPARK-14174:
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[~srowen] the {{run}} changes were already m
zhengruifeng created SPARK-19573:
Summary: Make NaN/null handling consistent in approxQuantile
Key: SPARK-19573
URL: https://issues.apache.org/jira/browse/SPARK-19573
Project: Spark
Issue Typ
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zhengruifeng commented on SPARK-18813:
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[~bryanc] +1
> MLlib 2.2 Roadmap
>
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zhengruifeng commented on SPARK-19208:
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[~mlnick] +1
I think we can create a private
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zhengruifeng edited comment on SPARK-18608 at 2/2/17 11:53 AM:
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zhengruifeng edited comment on SPARK-18608 at 2/2/17 11:52 AM:
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zhengruifeng commented on SPARK-18608:
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[~yuhaoyan] Agree that it's nice to add an e
zhengruifeng created SPARK-19436:
Summary: Add missing tests for approxQuantiles
Key: SPARK-19436
URL: https://issues.apache.org/jira/browse/SPARK-19436
Project: Spark
Issue Type: Improvement
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zhengruifeng commented on SPARK-19422:
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[~mlnick] Thanks a lot for pointing this out
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zhengruifeng commented on SPARK-19208:
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[~mlnick] What about supporting {{groupBy}}
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zhengruifeng updated SPARK-19422:
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Description:
Now some algorithms cache the input dataset if it was not cached any more
{{Storage
zhengruifeng created SPARK-19422:
Summary: Cache input data in algorithms
Key: SPARK-19422
URL: https://issues.apache.org/jira/browse/SPARK-19422
Project: Spark
Issue Type: Improvement
zhengruifeng created SPARK-19421:
Summary: Remove numClasses and numFeatures methods in LinearSVC
Key: SPARK-19421
URL: https://issues.apache.org/jira/browse/SPARK-19421
Project: Spark
Issue
Title: Message Title
zhengruifeng edited a comment on SPARK-19410
Title: Message Title
zhengruifeng commented on SPARK-19410
Title: Message Title
zhengruifeng commented on SPARK-19410
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https://issues.apache.org/jira/browse/SPARK-19208?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15843884#comment-15843884
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zhengruifeng commented on SPARK-19208:
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[~josephkb] I have considered of the analogy
zhengruifeng created SPARK-19384:
Summary: forget unpersist input dataset in IsotonicRegression
Key: SPARK-19384
URL: https://issues.apache.org/jira/browse/SPARK-19384
Project: Spark
Issue Ty
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https://issues.apache.org/jira/browse/SPARK-19208?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15833345#comment-15833345
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zhengruifeng edited comment on SPARK-19208 at 1/22/17 8:25 AM:
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https://issues.apache.org/jira/browse/SPARK-19208?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15833345#comment-15833345
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zhengruifeng edited comment on SPARK-19208 at 1/22/17 8:00 AM:
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https://issues.apache.org/jira/browse/SPARK-19208?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15833345#comment-15833345
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zhengruifeng edited comment on SPARK-19208 at 1/22/17 8:01 AM:
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https://issues.apache.org/jira/browse/SPARK-19208?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15833345#comment-15833345
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zhengruifeng commented on SPARK-19208:
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After diving into sparksql's udaf, I design
zhengruifeng created SPARK-19303:
Summary: Add evaluate method in clustering models
Key: SPARK-19303
URL: https://issues.apache.org/jira/browse/SPARK-19303
Project: Spark
Issue Type: Improvem
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