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https://issues.apache.org/jira/browse/SPARK-19208?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-19208.
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Resolution: Not A Problem
> MultivariateOnlineSummarizer performance optimization
>
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https://issues.apache.org/jira/browse/SPARK-22320?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-22320.
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Resolution: Not A Problem
> ORC should support VectorUDT/MatrixUDT
>
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https://issues.apache.org/jira/browse/SPARK-7008?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-7008.
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Resolution: Not A Problem
> An implementation of Factorization Machine (LibFM)
>
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https://issues.apache.org/jira/browse/SPARK-28399?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng updated SPARK-28399:
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Issue Type: New Feature (was: Improvement)
> Impl RobustScaler
> -
>
>
zhengruifeng created SPARK-28399:
Summary: Impl RobustScaler
Key: SPARK-28399
URL: https://issues.apache.org/jira/browse/SPARK-28399
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-28159?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng updated SPARK-28159:
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Description:
It is a long time since ML was released.
However, there are still many TODOs
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https://issues.apache.org/jira/browse/SPARK-27656?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-27656.
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Resolution: Not A Problem
> Safely register class for GraphX
>
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https://issues.apache.org/jira/browse/SPARK-28542?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16910145#comment-16910145
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zhengruifeng commented on SPARK-28542:
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[~planga82] Just go ahead! Thanks!
> Document Stages page
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https://issues.apache.org/jira/browse/SPARK-28543?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16905935#comment-16905935
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zhengruifeng commented on SPARK-28543:
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[~planga82] I had just create a page in
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https://issues.apache.org/jira/browse/SPARK-28373?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16905937#comment-16905937
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zhengruifeng commented on SPARK-28373:
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[~yumwang] I had just create a page in
zhengruifeng created SPARK-28780:
Summary: Delete the incorrect setWeightCol method in LinearSVCModel
Key: SPARK-28780
URL: https://issues.apache.org/jira/browse/SPARK-28780
Project: Spark
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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 updated SPARK-28958:
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Attachment: ML_SYNC.pdf
> pyspark.ml function parity
> --
>
>
zhengruifeng created SPARK-28958:
Summary: pyspark.ml function parity
Key: SPARK-28958
URL: https://issues.apache.org/jira/browse/SPARK-28958
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-28373?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16921138#comment-16921138
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zhengruifeng commented on SPARK-28373:
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[~planga82] Thanks!:D
> Document JDBC/ODBC Server page
>
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https://issues.apache.org/jira/browse/SPARK-28372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16921151#comment-16921151
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zhengruifeng commented on SPARK-28372:
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[~smilegator] I think we may need to add a subtask for
zhengruifeng created SPARK-28968:
Summary: Add HasNumFeatures in the scala side
Key: SPARK-28968
URL: https://issues.apache.org/jira/browse/SPARK-28968
Project: Spark
Issue Type: Improvement
zhengruifeng created SPARK-28969:
Summary: OneVsRestModel in the py side should not set WeightCol
and Classifier
Key: SPARK-28969
URL: https://issues.apache.org/jira/browse/SPARK-28969
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-28373?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16920599#comment-16920599
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zhengruifeng commented on SPARK-28373:
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[~smilegator] [~yumwang] I am afraid I have no time to do
zhengruifeng created SPARK-28858:
Summary: add tree-based transformation in the py side
Key: SPARK-28858
URL: https://issues.apache.org/jira/browse/SPARK-28858
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-28969?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16922994#comment-16922994
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zhengruifeng commented on SPARK-28969:
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friendly ping [~huaxingao]
> OneVsRestModel in the py side
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zhengruifeng updated SPARK-28969:
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Parent: SPARK-28958
Issue Type: Sub-task (was: Improvement)
> OneVsRestModel in the py
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zhengruifeng resolved SPARK-28968.
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Resolution: Resolved
> Add HasNumFeatures in the scala side
>
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https://issues.apache.org/jira/browse/SPARK-28985?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16927498#comment-16927498
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zhengruifeng commented on SPARK-28985:
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[~huaxingao] You can refer to my old prs
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https://issues.apache.org/jira/browse/SPARK-22797?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-22797.
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Resolution: Done
> Add multiple column support to PySpark Bucketizer
>
zhengruifeng created SPARK-29116:
Summary: Refactor py classes related to DecisionTree
Key: SPARK-29116
URL: https://issues.apache.org/jira/browse/SPARK-29116
Project: Spark
Issue Type:
[
https://issues.apache.org/jira/browse/SPARK-29116?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16931179#comment-16931179
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zhengruifeng commented on SPARK-29116:
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friendly ping [~huaxingao] , are you willing to work on
zhengruifeng created SPARK-29118:
Summary: Avoid redundant computation in GMM.transform
Key: SPARK-29118
URL: https://issues.apache.org/jira/browse/SPARK-29118
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-22796?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16931125#comment-16931125
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zhengruifeng commented on SPARK-22796:
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[~huaxingao]
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https://issues.apache.org/jira/browse/SPARK-29118?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng updated SPARK-29118:
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Summary: Avoid redundant computation in GMM.transform && GLR.transform
(was: Avoid redundant
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https://issues.apache.org/jira/browse/SPARK-29118?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng updated SPARK-29118:
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Description:
In SPARK-27944, the computation for output columns with empty name is skipped.
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https://issues.apache.org/jira/browse/SPARK-9612?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16924090#comment-16924090
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zhengruifeng commented on SPARK-9612:
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https://issues.apache.org/jira/browse/SPARK-19591 is now
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https://issues.apache.org/jira/browse/SPARK-28927?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16923163#comment-16923163
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zhengruifeng commented on SPARK-28927:
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[~JerryHouse] As to AUC, which impl do you use?
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https://issues.apache.org/jira/browse/SPARK-23578?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng reopened SPARK-23578:
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this ticket is for Binarizer not Bucketizer
> Add multicolumn support for Binarizer
>
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https://issues.apache.org/jira/browse/SPARK-23578?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-23578.
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Resolution: Duplicate
> Add multicolumn support for Binarizer
>
zhengruifeng created SPARK-29143:
Summary: Pyspark feature models support column setters/getters
Key: SPARK-29143
URL: https://issues.apache.org/jira/browse/SPARK-29143
Project: Spark
Issue
zhengruifeng created SPARK-29142:
Summary: Pyspark clustering models support column
setters/getters/predict
Key: SPARK-29142
URL: https://issues.apache.org/jira/browse/SPARK-29142
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-29144?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16932272#comment-16932272
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zhengruifeng commented on SPARK-29144:
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I prefer option 2, and will send a PR for this.
>
zhengruifeng created SPARK-29144:
Summary: Binarizer handel sparse vector incorrectly with negative
threshold
Key: SPARK-29144
URL: https://issues.apache.org/jira/browse/SPARK-29144
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-29144?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng updated SPARK-29144:
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Summary: Binarizer handle sparse vectors incorrectly with negative
threshold (was: Binarizer
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zhengruifeng updated SPARK-29144:
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Description:
the process on sparse vector is wrong if thread<0:
{code:java}
scala> val data =
zhengruifeng created SPARK-29093:
Summary: Remove automatically generated param setters in
_shared_params_code_gen.py
Key: SPARK-29093
URL: https://issues.apache.org/jira/browse/SPARK-29093
Project:
zhengruifeng created SPARK-29094:
Summary: Add extractInstances method
Key: SPARK-29094
URL: https://issues.apache.org/jira/browse/SPARK-29094
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-29094?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-29094.
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Resolution: Duplicate
> Add extractInstances method
> ---
>
>
zhengruifeng created SPARK-29095:
Summary: add extractInstances
Key: SPARK-29095
URL: https://issues.apache.org/jira/browse/SPARK-29095
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-28985?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng updated SPARK-28985:
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Description:
1, add common abstract classes like JavaClassificationModel &
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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 updated SPARK-28958:
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Description:
I looked into the hierarchy of both py and scala sides, and found that they are
zhengruifeng created SPARK-28985:
Summary: Pyspark ClassificationModel and RegressionModel support
column setters/getters/predict
Key: SPARK-28985
URL: https://issues.apache.org/jira/browse/SPARK-28985
zhengruifeng created SPARK-28579:
Summary: MaxAbsScaler avoids conversion to breeze.vector
Key: SPARK-28579
URL: https://issues.apache.org/jira/browse/SPARK-28579
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-13677?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng updated SPARK-13677:
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Description:
It would be nice to be able to use RF and GBT for feature transformation:
First
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https://issues.apache.org/jira/browse/SPARK-13677?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng updated SPARK-13677:
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Description:
It would be nice to be able to use RF and GBT for feature transformation:
First
zhengruifeng created SPARK-28499:
Summary: Optimize MinMaxScaler
Key: SPARK-28499
URL: https://issues.apache.org/jira/browse/SPARK-28499
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-28499?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng updated SPARK-28499:
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Description:
current impl of MinMaxScaler has some small places to be optimized:
1, avoid call
zhengruifeng created SPARK-28421:
Summary: SparseVector.apply performance optimization
Key: SPARK-28421
URL: https://issues.apache.org/jira/browse/SPARK-28421
Project: Spark
Issue Type:
zhengruifeng created SPARK-28514:
Summary: Remove the redundant transformImpl method in RF & GBT
Key: SPARK-28514
URL: https://issues.apache.org/jira/browse/SPARK-28514
Project: Spark
Issue
zhengruifeng created SPARK-29258:
Summary: parity between ml.evaluator and mllib.metrics
Key: SPARK-29258
URL: https://issues.apache.org/jira/browse/SPARK-29258
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-29258?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-29258.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 25940
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https://issues.apache.org/jira/browse/SPARK-29212?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16939082#comment-16939082
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zhengruifeng commented on SPARK-29212:
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[~zero323] I had not notice the base hierarchy without
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https://issues.apache.org/jira/browse/SPARK-29142?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-29142.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 25859
zhengruifeng created SPARK-29269:
Summary: Pyspark ALSModel support getters/setters
Key: SPARK-29269
URL: https://issues.apache.org/jira/browse/SPARK-29269
Project: Spark
Issue Type:
zhengruifeng created SPARK-29212:
Summary: Add common classes without using JVM backend
Key: SPARK-29212
URL: https://issues.apache.org/jira/browse/SPARK-29212
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-29212?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16938205#comment-16938205
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zhengruifeng commented on SPARK-29212:
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[~zero323] Would you like to help work on this?
> Add
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https://issues.apache.org/jira/browse/SPARK-27018?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng updated SPARK-27018:
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Component/s: Spark Core
> Checkpointed RDD deleted prematurely when using GBTClassifier
>
zhengruifeng created SPARK-29656:
Summary: ML algs expose aggregationDepth
Key: SPARK-29656
URL: https://issues.apache.org/jira/browse/SPARK-29656
Project: Spark
Issue Type: Improvement
zhengruifeng created SPARK-29751:
Summary: Scalers use Summarizer instead of
MultivariateOnlineSummarizer
Key: SPARK-29751
URL: https://issues.apache.org/jira/browse/SPARK-29751
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-29656?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-29656.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26322
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zhengruifeng reassigned SPARK-29656:
Assignee: zhengruifeng
> ML algs expose aggregationDepth
>
zhengruifeng created SPARK-29808:
Summary: StopWordsRemover should support multi-cols
Key: SPARK-29808
URL: https://issues.apache.org/jira/browse/SPARK-29808
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-16872?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng updated SPARK-16872:
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Summary: Impl Gaussian Naive Bayes Classifier (was: Include Gaussian Naive
Bayes Classifier)
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https://issues.apache.org/jira/browse/SPARK-16872?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng updated SPARK-16872:
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Component/s: PySpark
> Include Gaussian Naive Bayes Classifier
>
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zhengruifeng reopened SPARK-16872:
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> Include Gaussian Naive Bayes Classifier
> ---
>
>
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https://issues.apache.org/jira/browse/SPARK-29754?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng reassigned SPARK-29754:
Assignee: zhengruifeng
> LoR/AFT/LiR/SVC use Summarizer instead of
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zhengruifeng resolved SPARK-29754.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26396
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https://issues.apache.org/jira/browse/SPARK-29686?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-29686.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26344
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https://issues.apache.org/jira/browse/SPARK-29645?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng reassigned SPARK-29645:
Assignee: zhengruifeng
> ML add param RelativeError
> --
>
>
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https://issues.apache.org/jira/browse/SPARK-29645?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-29645.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26305
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https://issues.apache.org/jira/browse/SPARK-16872?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-16872.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 26413
zhengruifeng created SPARK-29942:
Summary: Impl Complement Naive Bayes Classifier
Key: SPARK-29942
URL: https://issues.apache.org/jira/browse/SPARK-29942
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-29808?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng reassigned SPARK-29808:
Assignee: Huaxin Gao
> StopWordsRemover should support multi-cols
>
zhengruifeng created SPARK-29914:
Summary: ML models append metadata in `transform`/`transformSchema`
Key: SPARK-29914
URL: https://issues.apache.org/jira/browse/SPARK-29914
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-29756?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng updated SPARK-29756:
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Description:
{code:java}
scala> val df = spark.createDataFrame(Seq(
| (0, Array("a",
zhengruifeng created SPARK-29756:
Summary: CountVectorizer forget to unpersist intermediate rdd
Key: SPARK-29756
URL: https://issues.apache.org/jira/browse/SPARK-29756
Project: Spark
Issue
zhengruifeng created SPARK-29754:
Summary: LoR/AFT/LiR/SVC use Summarizer instead of
MultivariateOnlineSummarizer
Key: SPARK-29754
URL: https://issues.apache.org/jira/browse/SPARK-29754
Project:
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zhengruifeng reassigned SPARK-29756:
Assignee: zhengruifeng
> CountVectorizer forget to unpersist intermediate rdd
>
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https://issues.apache.org/jira/browse/SPARK-29756?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-29756.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26398
zhengruifeng created SPARK-29801:
Summary: ML models unify toString method
Key: SPARK-29801
URL: https://issues.apache.org/jira/browse/SPARK-29801
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-29960?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-29960.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26597
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https://issues.apache.org/jira/browse/SPARK-29960?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng reassigned SPARK-29960:
Assignee: zhengruifeng
> MulticlassClassificationEvaluator support hammingLoss
>
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https://issues.apache.org/jira/browse/SPARK-29942?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng updated SPARK-29942:
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Fix Version/s: (was: 3.1.0)
3.0.0
> Impl Complement Naive Bayes
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zhengruifeng resolved SPARK-29942.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 26575
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zhengruifeng reassigned SPARK-29942:
Assignee: zhengruifeng
> Impl Complement Naive Bayes Classifier
>
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https://issues.apache.org/jira/browse/SPARK-29914?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-29914.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 26547
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https://issues.apache.org/jira/browse/SPARK-29914?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng reassigned SPARK-29914:
Assignee: zhengruifeng
> ML models append metadata in `transform`/`transformSchema`
>
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https://issues.apache.org/jira/browse/SPARK-30120?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng updated SPARK-30120:
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Description: ping [~huaxingao]
> LSH approxNearestNeighbors should use TopByKeyAggregator when
zhengruifeng created SPARK-30109:
Summary: PCA use BLAS.gemv with sparse vector
Key: SPARK-30109
URL: https://issues.apache.org/jira/browse/SPARK-30109
Project: Spark
Issue Type: Improvement
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zhengruifeng reassigned SPARK-30044:
Assignee: zhengruifeng
> MNB/CNB/BNB use empty matrix instead of null
>
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https://issues.apache.org/jira/browse/SPARK-30044?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-30044.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26679
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https://issues.apache.org/jira/browse/SPARK-30144?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16991050#comment-16991050
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zhengruifeng edited comment on SPARK-30144 at 12/9/19 1:40 AM:
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zhengruifeng commented on SPARK-30144:
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[~huaxingao] It seems like that
zhengruifeng created SPARK-30178:
Summary: RobustScaler support bigger numFeatures
Key: SPARK-30178
URL: https://issues.apache.org/jira/browse/SPARK-30178
Project: Spark
Issue Type:
zhengruifeng created SPARK-30202:
Summary: impl QuantileTransform
Key: SPARK-30202
URL: https://issues.apache.org/jira/browse/SPARK-30202
Project: Spark
Issue Type: Improvement
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