zhengruifeng created SPARK-32060:
Summary: Huber loss Convergence
Key: SPARK-32060
URL: https://issues.apache.org/jira/browse/SPARK-32060
Project: Spark
Issue Type: Bug
Components:
zhengruifeng created SPARK-31976:
Summary: use MemoryUsage to control the size of block
Key: SPARK-31976
URL: https://issues.apache.org/jira/browse/SPARK-31976
Project: Spark
Issue Type:
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zhengruifeng updated SPARK-31976:
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Description:
According to the performance test in
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zhengruifeng commented on SPARK-31948:
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[~viirya] [~srowen] I will test whether there is
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zhengruifeng updated SPARK-31948:
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Description:
{{1, aggregateByKey,}} {{reduceByKey}} and {{foldByKey}} will always perform
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zhengruifeng updated SPARK-31948:
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Description:
{{1, aggregateByKey,}} {{reduceByKey}} and {{foldByKey}} will always perform
zhengruifeng created SPARK-31948:
Summary: expose mapSideCombine in aggByKey/reduceByKey/foldByKey
Key: SPARK-31948
URL: https://issues.apache.org/jira/browse/SPARK-31948
Project: Spark
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zhengruifeng commented on SPARK-31925:
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also ping [~srowen] [~weichenxu123]
>
zhengruifeng created SPARK-31925:
Summary: Summary.totalIterations greater than maxIters
Key: SPARK-31925
URL: https://issues.apache.org/jira/browse/SPARK-31925
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-31783?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17112850#comment-17112850
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zhengruifeng commented on SPARK-31783:
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if blockSize==1, original code path dealing with each
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zhengruifeng commented on SPARK-31783:
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ping [~srowen] [~mengxr] [~weichenxu123] [~huaxingao]
I am
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zhengruifeng commented on SPARK-31783:
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The test code is in 'blockify_total', and current result is
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zhengruifeng updated SPARK-31783:
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Attachment: blockify_perf_20200521.xlsx
> Performance test on dense and sparse datasets
>
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zhengruifeng updated SPARK-31783:
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Attachment: blockify_total
> Performance test on dense and sparse datasets
>
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zhengruifeng reassigned SPARK-31783:
Assignee: zhengruifeng
> Performance test on dense and sparse datasets
>
zhengruifeng created SPARK-31783:
Summary: Performance test on dense and sparse datasets
Key: SPARK-31783
URL: https://issues.apache.org/jira/browse/SPARK-31783
Project: Spark
Issue Type:
zhengruifeng created SPARK-31782:
Summary: Performance test on dense and sparse datasets
Key: SPARK-31782
URL: https://issues.apache.org/jira/browse/SPARK-31782
Project: Spark
Issue Type:
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zhengruifeng resolved SPARK-31782.
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Resolution: Duplicate
> Performance test on dense and sparse datasets
>
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zhengruifeng edited comment on SPARK-31714 at 5/15/20, 7:33 AM:
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zhengruifeng commented on SPARK-31714:
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additionally test on impl of gemv:
{code:java}
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zhengruifeng commented on SPARK-31714:
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test code:
{code:java}
test("performance: gemv vs dot") {
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zhengruifeng updated SPARK-31714:
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Attachment: blas-perf
> Performance test on java vectorization vs dot vs gemv vs gemm
>
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zhengruifeng updated SPARK-31714:
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Attachment: BLASSuite.scala
> Performance test on java vectorization vs dot vs gemv vs gemm
>
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zhengruifeng reassigned SPARK-31714:
Assignee: zhengruifeng
> Performance test on java vectorization vs dot vs gemv vs gemm
>
zhengruifeng created SPARK-31714:
Summary: Performance test on java vectorization vs dot vs gemv vs
gemm
Key: SPARK-31714
URL: https://issues.apache.org/jira/browse/SPARK-31714
Project: Spark
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zhengruifeng resolved SPARK-30699.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 27473
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zhengruifeng resolved SPARK-31656.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 28473
zhengruifeng created SPARK-31661:
Summary: Document usage of blockSize
Key: SPARK-31661
URL: https://issues.apache.org/jira/browse/SPARK-31661
Project: Spark
Issue Type: Sub-task
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zhengruifeng reassigned SPARK-31652:
Assignee: Huaxin Gao
> Add ANOVASelector and FValueSelector to PySpark
>
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zhengruifeng resolved SPARK-31652.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 28464
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zhengruifeng reassigned SPARK-31659:
Assignee: Huaxin Gao
> Add VarianceThresholdSelector examples and doc
>
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zhengruifeng resolved SPARK-31659.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 28478
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zhengruifeng resolved SPARK-30660.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 28471
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zhengruifeng reassigned SPARK-31656:
Assignee: zhengruifeng
> AFT blockify input vectors
> --
>
>
zhengruifeng created SPARK-31656:
Summary: AFT blockify input vectors
Key: SPARK-31656
URL: https://issues.apache.org/jira/browse/SPARK-31656
Project: Spark
Issue Type: Sub-task
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zhengruifeng resolved SPARK-30659.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 28458
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zhengruifeng reassigned SPARK-31127:
Assignee: Huaxin Gao
> Add abstract Selector
> -
>
>
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zhengruifeng resolved SPARK-31127.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 27978
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zhengruifeng reopened SPARK-30661:
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> KMeans blockify input vectors
> -
>
> Key:
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zhengruifeng resolved SPARK-30642.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 28349
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zhengruifeng updated SPARK-31603:
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Summary: AFT uses common functions in RDDLossFunction (was: AFT uses
common RDDLossFunction)
zhengruifeng created SPARK-31603:
Summary: AFT uses common RDDLossFunction
Key: SPARK-31603
URL: https://issues.apache.org/jira/browse/SPARK-31603
Project: Spark
Issue Type: Improvement
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zhengruifeng resolved SPARK-31182.
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Resolution: Not A Problem
> PairRDD support aggregateByKeyWithinPartitions
>
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zhengruifeng reassigned SPARK-31494:
Assignee: zhengruifeng
> flatten the result dataframe of ANOVATest
>
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zhengruifeng resolved SPARK-31494.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 28270
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zhengruifeng reassigned SPARK-31492:
Assignee: zhengruifeng
> flatten the result dataframe of FValueTest
>
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zhengruifeng resolved SPARK-31492.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 28268
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zhengruifeng resolved SPARK-30661.
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Resolution: Not A Problem
> KMeans blockify input vectors
> -
>
>
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https://issues.apache.org/jira/browse/SPARK-30202?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-30202.
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Resolution: Not A Problem
> impl QuantileTransform
> --
>
>
zhengruifeng created SPARK-31494:
Summary: flatten the result dataframe of ANOVATest
Key: SPARK-31494
URL: https://issues.apache.org/jira/browse/SPARK-31494
Project: Spark
Issue Type:
zhengruifeng created SPARK-31492:
Summary: flatten the result dataframe of FValueTest
Key: SPARK-31492
URL: https://issues.apache.org/jira/browse/SPARK-31492
Project: Spark
Issue Type:
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zhengruifeng resolved SPARK-31433.
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Resolution: Not A Problem
> Summarizer supports string arguments
>
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zhengruifeng resolved SPARK-31301.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 28176
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zhengruifeng reassigned SPARK-31301:
Assignee: zhengruifeng
> flatten the result dataframe of tests in stat
>
zhengruifeng created SPARK-31436:
Summary: MinHash keyDistance optimization
Key: SPARK-31436
URL: https://issues.apache.org/jira/browse/SPARK-31436
Project: Spark
Issue Type: Improvement
zhengruifeng created SPARK-31433:
Summary: Summarizer supports string arguments
Key: SPARK-31433
URL: https://issues.apache.org/jira/browse/SPARK-31433
Project: Spark
Issue Type: Improvement
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zhengruifeng commented on SPARK-31301:
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(One small question: the new method takes a Dataset[_]
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zhengruifeng commented on SPARK-31301:
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[~srowen] There are two methods now:
{code:java}
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zhengruifeng commented on SPARK-31301:
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[~srowen] How do you think about changing the return type
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zhengruifeng resolved SPARK-31309.
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Resolution: Not A Problem
> Migrate the ChiSquareTest from MLlib to ML
>
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zhengruifeng commented on SPARK-31301:
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Another advantage that returning rows is that:
high-dim
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zhengruifeng reopened SPARK-31309:
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> Migrate the ChiSquareTest from MLlib to ML
> --
>
>
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zhengruifeng commented on SPARK-31301:
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{code:java}
@Since("3.1.0")
def testChiSquare(
dataset:
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zhengruifeng resolved SPARK-31300.
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Resolution: Not A Problem
> Migrate the implementation of algorithms from MLlib to ML
>
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zhengruifeng resolved SPARK-31309.
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Resolution: Not A Problem
> Migrate the ChiSquareTest from MLlib to ML
>
zhengruifeng created SPARK-31309:
Summary: Migrate the ChiSquareTest from MLlib to ML
Key: SPARK-31309
URL: https://issues.apache.org/jira/browse/SPARK-31309
Project: Spark
Issue Type:
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zhengruifeng updated SPARK-31309:
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Priority: Minor (was: Major)
> Migrate the ChiSquareTest from MLlib to ML
>
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zhengruifeng commented on SPARK-31301:
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[~srowen] It is not targeted 3.0.0. I agree that we must
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zhengruifeng reassigned SPARK-31222:
Assignee: zhengruifeng
> Make ANOVATest Sparsity-Aware
> -
>
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zhengruifeng resolved SPARK-31222.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 27982
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zhengruifeng updated SPARK-31301:
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Description:
{code:java}
scala> import org.apache.spark.ml.linalg.{Vector, Vectors}
import
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zhengruifeng updated SPARK-31301:
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Description:
{code:java}
scala> import org.apache.spark.ml.linalg.{Vector, Vectors}
import
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zhengruifeng updated SPARK-31301:
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Description:
{code:java}
scala> import org.apache.spark.ml.linalg.{Vector, Vectors}
import
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zhengruifeng commented on SPARK-31301:
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friendly ping [~srowen] [~huaxingao]
> flatten the result
zhengruifeng created SPARK-31301:
Summary: flatten the result dataframe of tests in stat
Key: SPARK-31301
URL: https://issues.apache.org/jira/browse/SPARK-31301
Project: Spark
Issue Type:
zhengruifeng created SPARK-31300:
Summary: Migrate the implementation of algorithms from MLlib to ML
Key: SPARK-31300
URL: https://issues.apache.org/jira/browse/SPARK-31300
Project: Spark
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zhengruifeng reassigned SPARK-31283:
Assignee: zhengruifeng
> Simplify ChiSq by adding a common method
>
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zhengruifeng resolved SPARK-31283.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 28045
zhengruifeng created SPARK-31283:
Summary: Simplify ChiSq by adding a common method
Key: SPARK-31283
URL: https://issues.apache.org/jira/browse/SPARK-31283
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-31243?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-31243.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 28012
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zhengruifeng reassigned SPARK-31243:
Assignee: Huaxin Gao
> add ANOVATest and FValueTest to PySpark
>
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https://issues.apache.org/jira/browse/SPARK-31223?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-31223.
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Resolution: Fixed
> Update py code to generate data in testsuites
>
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zhengruifeng reassigned SPARK-31223:
Assignee: Huaxin Gao (was: zhengruifeng)
> Update py code to generate data in
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zhengruifeng reassigned SPARK-31223:
Assignee: zhengruifeng
> Update py code to generate data in testsuites
>
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zhengruifeng resolved SPARK-30923.
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Resolution: Fixed
> Spark MLlib, GraphX 3.0 QA umbrella
> ---
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zhengruifeng commented on SPARK-31223:
--
ping [~huaxingao]
> Update py code to generate dates in
zhengruifeng created SPARK-31223:
Summary: Update py code to generate dates in testsuites
Key: SPARK-31223
URL: https://issues.apache.org/jira/browse/SPARK-31223
Project: Spark
Issue Type:
zhengruifeng created SPARK-31222:
Summary: Make ANOVATest Sparsity-Aware
Key: SPARK-31222
URL: https://issues.apache.org/jira/browse/SPARK-31222
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-31185?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng reassigned SPARK-31185:
Assignee: Huaxin Gao
> implement VarianceThresholdSelector
>
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zhengruifeng resolved SPARK-31185.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 27954
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https://issues.apache.org/jira/browse/SPARK-30932?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng reassigned SPARK-30932:
Assignee: zhengruifeng
> ML 3.0 QA: API: Java compatibility, docs
>
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https://issues.apache.org/jira/browse/SPARK-30932?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-30932.
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Resolution: Fixed
> ML 3.0 QA: API: Java compatibility, docs
>
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https://issues.apache.org/jira/browse/SPARK-30935?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng reassigned SPARK-30935:
Assignee: Huaxin Gao
> Update MLlib, GraphX websites for 3.0
>
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https://issues.apache.org/jira/browse/SPARK-30931?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng reassigned SPARK-30931:
Assignee: Huaxin Gao
> ML 3.0 QA: API: Python API coverage
>
zhengruifeng created SPARK-31182:
Summary: PairRDD support aggregateByKeyWithinPartitions
Key: SPARK-31182
URL: https://issues.apache.org/jira/browse/SPARK-31182
Project: Spark
Issue Type:
zhengruifeng created SPARK-31180:
Summary: Implement PowerTransform
Key: SPARK-31180
URL: https://issues.apache.org/jira/browse/SPARK-31180
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-30931?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17057592#comment-17057592
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zhengruifeng commented on SPARK-30931:
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Thanks [~huaxingao] for your work
> ML 3.0 QA: API: Python
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https://issues.apache.org/jira/browse/SPARK-30931?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-30931.
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Resolution: Fixed
> ML 3.0 QA: API: Python API coverage
> ---
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https://issues.apache.org/jira/browse/SPARK-30935?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17057587#comment-17057587
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zhengruifeng commented on SPARK-30935:
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[~huaxingao] Thanks!
> Update MLlib, GraphX websites for
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https://issues.apache.org/jira/browse/SPARK-30935?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-30935.
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Resolution: Fixed
> Update MLlib, GraphX websites for 3.0
>
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