zhengruifeng created SPARK-29566:
Summary: Imputer should support single-column input/ouput
Key: SPARK-29566
URL: https://issues.apache.org/jira/browse/SPARK-29566
Project: Spark
Issue Type:
zhengruifeng created SPARK-29565:
Summary: OneHotEncoder should support single-column input/ouput
Key: SPARK-29565
URL: https://issues.apache.org/jira/browse/SPARK-29565
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-29093?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng reassigned SPARK-29093:
Assignee: Huaxin Gao
> Remove automatically generated param setters in
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https://issues.apache.org/jira/browse/SPARK-29093?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16957601#comment-16957601
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zhengruifeng commented on SPARK-29093:
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[~huaxingao] Thanks!
> Remove automatically generated
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https://issues.apache.org/jira/browse/SPARK-29232?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng reassigned SPARK-29232:
Assignee: Huaxin Gao
> RandomForestRegressionModel does not update the parameter maps of
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https://issues.apache.org/jira/browse/SPARK-29232?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-29232.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26154
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https://issues.apache.org/jira/browse/SPARK-29489?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng reassigned SPARK-29489:
Assignee: zhengruifeng
> ml.evaluation support log-loss
> --
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zhengruifeng resolved SPARK-29489.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26135
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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 reassigned SPARK-23578:
Assignee: zhengruifeng
> 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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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26064
zhengruifeng created SPARK-29489:
Summary: ml.evaluation support log-loss
Key: SPARK-29489
URL: https://issues.apache.org/jira/browse/SPARK-29489
Project: Spark
Issue Type: New Feature
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https://issues.apache.org/jira/browse/SPARK-29381?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16951657#comment-16951657
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zhengruifeng commented on SPARK-29381:
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[~huaxingao] Hi, I think we need another PR to add
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https://issues.apache.org/jira/browse/SPARK-29377?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng reassigned SPARK-29377:
Assignee: Huaxin Gao
> parity between scala ml tuning and python ml tuning
>
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https://issues.apache.org/jira/browse/SPARK-29377?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-29377.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26057
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https://issues.apache.org/jira/browse/SPARK-29380?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng reassigned SPARK-29380:
Assignee: zhengruifeng
> RFormula avoid repeated 'first' jobs to get vector size
>
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zhengruifeng resolved SPARK-29380.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26052
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https://issues.apache.org/jira/browse/SPARK-29116?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-29116.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 25929
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https://issues.apache.org/jira/browse/SPARK-29116?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng reassigned SPARK-29116:
Assignee: Huaxin Gao
> Refactor py classes related to DecisionTree
>
zhengruifeng created SPARK-29381:
Summary: Add 'private' _XXXParams classes for classification &
regression
Key: SPARK-29381
URL: https://issues.apache.org/jira/browse/SPARK-29381
Project: Spark
zhengruifeng created SPARK-29380:
Summary: RFormula avoid repeated 'first' jobs to get vector size
Key: SPARK-29380
URL: https://issues.apache.org/jira/browse/SPARK-29380
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-29212?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16946583#comment-16946583
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zhengruifeng commented on SPARK-29212:
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[~zero323] ??we should remove Java specific mixins, if
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https://issues.apache.org/jira/browse/SPARK-29269?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng reassigned SPARK-29269:
Assignee: Huaxin Gao
> Pyspark ALSModel support getters/setters
>
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https://issues.apache.org/jira/browse/SPARK-29269?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng updated SPARK-29269:
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Comment: was deleted
(was: It seems that I do not have the permission to assign a tickect:
```
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zhengruifeng commented on SPARK-29269:
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It seems that I do not have the permission to assign a
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https://issues.apache.org/jira/browse/SPARK-29269?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-29269.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 25947
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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
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:
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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
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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
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-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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zhengruifeng commented on SPARK-29212:
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It seems useful to impl some algs in pure python (like wrap
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-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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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.
>
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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-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-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-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-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
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-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-29116:
Summary: Refactor py classes related to DecisionTree
Key: SPARK-29116
URL: https://issues.apache.org/jira/browse/SPARK-29116
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-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
>
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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
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
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:
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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-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-28968?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-28968.
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Resolution: Resolved
> Add HasNumFeatures in the scala side
>
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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-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-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
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https://issues.apache.org/jira/browse/SPARK-28969?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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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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
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
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
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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-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
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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-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:
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-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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zhengruifeng commented on SPARK-28373:
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[~yumwang] I had just create a page in
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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
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:
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
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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-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-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-28421:
Summary: SparseVector.apply performance optimization
Key: SPARK-28421
URL: https://issues.apache.org/jira/browse/SPARK-28421
Project: Spark
Issue Type:
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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-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-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
zhengruifeng created SPARK-28159:
Summary: Make the transform natively in ml framework to avoid
extra conversion
Key: SPARK-28159
URL: https://issues.apache.org/jira/browse/SPARK-28159
Project: Spark
zhengruifeng created SPARK-28154:
Summary: GMM fix double caching
Key: SPARK-28154
URL: https://issues.apache.org/jira/browse/SPARK-28154
Project: Spark
Issue Type: Improvement
zhengruifeng created SPARK-28117:
Summary: LDA and BisectingKMeans cache the input dataset if
necessary
Key: SPARK-28117
URL: https://issues.apache.org/jira/browse/SPARK-28117
Project: Spark
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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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Priority: Major (was: Minor)
> Support Tree-Based Feature Transformation for ML
>
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zhengruifeng commented on SPARK-13677:
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I closed this ticket since the old pr was based on
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zhengruifeng reopened SPARK-13677:
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update the design
> Support Tree-Based Feature Transformation for ML
>
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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-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
>
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https://issues.apache.org/jira/browse/SPARK-27925?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-27925.
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Resolution: Not A Problem
> Better control numBins of curves in BinaryClassificationMetrics
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zhengruifeng created SPARK-28045:
Summary: add missing RankingEvaluator
Key: SPARK-28045
URL: https://issues.apache.org/jira/browse/SPARK-28045
Project: Spark
Issue Type: Improvement
zhengruifeng created SPARK-28044:
Summary: MulticlassClassificationEvaluator support more metrics
Key: SPARK-28044
URL: https://issues.apache.org/jira/browse/SPARK-28044
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-24875?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16860922#comment-16860922
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zhengruifeng edited comment on SPARK-24875 at 6/11/19 10:59 AM:
The
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https://issues.apache.org/jira/browse/SPARK-24875?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16860922#comment-16860922
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zhengruifeng commented on SPARK-24875:
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The dataset is usually much smaller than the training
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https://issues.apache.org/jira/browse/SPARK-26185?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16860919#comment-16860919
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zhengruifeng commented on SPARK-26185:
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Seems resolved?
> add weightCol in python
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https://issues.apache.org/jira/browse/SPARK-25360?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16860759#comment-16860759
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zhengruifeng commented on SPARK-25360:
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But I think it maybe worth to impl a direct version of
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