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Kai Jiang commented on SPARK-16137:
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Yes. Sure.
> Random Forest wrapper in SparkR
>
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Kai Jiang commented on SPARK-16283:
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I also noticed that there is an inconsistency between hive's
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Kai Jiang commented on SPARK-15767:
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Thanks! I will change that correspondingly.
> Decision Tree
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Kai Jiang commented on SPARK-15767:
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Thanks!
> Decision Tree Regression wrapper in SparkR
>
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Kai Jiang commented on SPARK-15767:
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[~mengxr] Would you mind to give some comments on how to design
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Kai Jiang commented on SPARK-15767:
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ping [~shvenkat]
> Decision Tree Regression wrapper in SparkR
>
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Kai Jiang commented on SPARK-15767:
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Here is detailed comparison:
✓ means MLlib matchs R.
✗ means we
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Kai Jiang updated SPARK-16112:
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Summary: R programming guide update for gapply and gapplyCollect (was: R
programming guide update for
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Kai Jiang commented on SPARK-15069:
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*6/22/2016 - Week 5*
To-do items
* Keep investigating more
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Kai Jiang commented on SPARK-15767:
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cc [~shivaram] What about your idea?
> Decision Tree Regression
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Kai Jiang updated SPARK-15767:
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Comment: was deleted
(was: cc [~shivaram] What about your idea?)
> Decision Tree Regression wrapper
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Kai Jiang commented on SPARK-15767:
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cc [~shivaram] What about your idea?
> Decision Tree Regression
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Kai Jiang commented on SPARK-15767:
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rpart API:
rpart(formula, data, weights, subset, na.action =
Kai Jiang created SPARK-16137:
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Summary: Random Forest wrapper in SparkR
Key: SPARK-16137
URL: https://issues.apache.org/jira/browse/SPARK-16137
Project: Spark
Issue Type: New Feature
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Kai Jiang updated SPARK-15767:
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Description: Implement a wrapper in SparkR to support decision tree
regression. R's naive Decision
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Kai Jiang commented on SPARK-16112:
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[~Narine] has been working on this.
> R programming guide update
Kai Jiang created SPARK-16112:
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Summary: R programming guide update for gapply
Key: SPARK-16112
URL: https://issues.apache.org/jira/browse/SPARK-16112
Project: Spark
Issue Type: Documentation
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Kai Jiang updated SPARK-15672:
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Description:
Update the the programming guide (i.e. the document at
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Kai Jiang commented on SPARK-15767:
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Thanks [~shivaram]! Yes, as you said, we should shorter name of
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Kai Jiang commented on SPARK-15767:
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cc [~shivaram]
> Decision Tree Regression wrapper in SparkR
>
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Kai Jiang commented on SPARK-15767:
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working on this.
> Decision Tree Regression wrapper in SparkR
>
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Kai Jiang updated SPARK-15767:
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Description: Implement a wrapper in SparkR to support decision tree
regression. R's naive Decision
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Kai Jiang commented on SPARK-15672:
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Got it.
> R programming guide update
> --
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Kai Jiang commented on SPARK-15672:
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[~shivaram] After going through changes, I saw
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Kai Jiang commented on SPARK-15672:
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Working on it.
> R programming guide update
>
Kai Jiang created SPARK-15767:
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Summary: Decision Tree Regression wrapper in SparkR
Key: SPARK-15767
URL: https://issues.apache.org/jira/browse/SPARK-15767
Project: Spark
Issue Type: New Feature
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Kai Jiang commented on SPARK-15672:
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I could help with this.
> R programming guide update
>
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Kai Jiang commented on SPARK-12567:
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Go ahead!
> Add aes_encrypt and aes_decrypt UDFs
>
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Kai Jiang commented on SPARK-10592:
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This is answered on corresponding Github PR.
> deprecate weights
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Kai Jiang commented on SPARK-15439:
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I can reproduce this.
> Failed to run unit test in SparkR
>
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Kai Jiang commented on SPARK-15439:
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Cool! Let me know if you find a way to solve this.
> Failed to
Kai Jiang created SPARK-15439:
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Summary: Failed to run unit test in SparkR
Key: SPARK-15439
URL: https://issues.apache.org/jira/browse/SPARK-15439
Project: Spark
Issue Type: Bug
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Kai Jiang commented on SPARK-15159:
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Could you split this into small pieces so that we could do it part
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Kai Jiang commented on SPARK-15159:
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I'd like to take a try on this one.
> SparkSession R API
>
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Kai Jiang edited comment on SPARK-15159 at 5/10/16 12:21 PM:
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Also I think we
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Kai Jiang updated SPARK-15159:
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Description: HiveContext is to be deprecated in 2.0. Replace them with
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Kai Jiang commented on SPARK-15159:
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So I think we should implement SparkSession first.
> Remove usage
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Kai Jiang updated SPARK-15159:
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Description: HiveContext is to be deprecated in 2.0. Replace them with
SparkSession.enableHiveSupport
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Kai Jiang updated SPARK-15069:
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Attachment: 1458791046_[GSoC2016]ApacheSpark_KaiJiang_Proposal.pdf
> GSoC 2016: Exposing more R and
Kai Jiang created SPARK-14978:
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Summary: PySpark TrainValidationSplitModel should support
validationMetrics
Key: SPARK-14978
URL: https://issues.apache.org/jira/browse/SPARK-14978
Project: Spark
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Kai Jiang commented on SPARK-928:
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Since it is labeled as Starter, I would like to take a try on this one.
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Kai Jiang commented on SPARK-14373:
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I would work on this one.
> PySpark ml RandomForestClassifier,
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Kai Jiang updated SPARK-13489:
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Labels: gsoc2016 mentor (was: )
> GSoC 2016 project ideas for MLlib
>
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Kai Jiang updated SPARK-13489:
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Labels: gsoc2016 (was: )
> GSoC 2016 project ideas for MLlib
> -
>
>
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Kai Jiang updated SPARK-13489:
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Labels: (was: gsoc2016)
> GSoC 2016 project ideas for MLlib
> -
>
>
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Kai Jiang commented on SPARK-13489:
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[~josephkb] Thanks for your explanation! It seems like there are
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Kai Jiang commented on SPARK-13489:
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[~mengxr] Thanks for mentioning that! I went through Kumar's
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Kai Jiang commented on SPARK-13489:
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Based on previous projects and ideas on this
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Kai Jiang edited comment on SPARK-13289 at 2/23/16 6:21 AM:
same. Spark-13431
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Kai Jiang commented on SPARK-13289:
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same
> Word2Vec generate infinite distances when numIterations>5
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Kai Jiang updated SPARK-12567:
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Affects Version/s: (was: 2.0.0)
Target Version/s: 2.0.0
> Add aes_{encrypt,decrypt} UDFs
>
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Kai Jiang updated SPARK-12567:
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Comment: was deleted
(was: already working on it.)
> Add aes_{encrypt,decrypt} UDFs
>
Kai Jiang created SPARK-12567:
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Summary: Add aes_{encrypt,decrypt} UDFs
Key: SPARK-12567
URL: https://issues.apache.org/jira/browse/SPARK-12567
Project: Spark
Issue Type: New Feature
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Kai Jiang commented on SPARK-12567:
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already working on it.
> Add aes_{encrypt,decrypt} UDFs
>
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Kai Jiang commented on SPARK-12461:
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I may want take this one. Could I do it?
> Add
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Kai Jiang edited comment on SPARK-12461 at 12/24/15 5:17 PM:
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I may want take
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Kai Jiang commented on SPARK-12461:
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Okay, i will try this one and PR later.
> Add
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Kai Jiang edited comment on SPARK-8352 at 11/19/15 1:27 AM:
This is what I
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Kai Jiang edited comment on SPARK-8352 at 11/19/15 1:26 AM:
This is what I
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Kai Jiang commented on SPARK-8352:
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This is what I currently have done.
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Kai Jiang edited comment on SPARK-8352 at 11/19/15 1:29 AM:
This is what I
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Kai Jiang edited comment on SPARK-8352 at 11/19/15 1:29 AM:
This is what I
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Kai Jiang updated SPARK-8352:
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Attachment: sidebar2.1.0.png
> Affixed table of contents, similar to Bootstrap 3 docs
>
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Kai Jiang commented on SPARK-8352:
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Hi [~joshrosen],
I am working on this. The
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Kai Jiang commented on SPARK-10592:
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Awesome. Thanks a lot! I will PR later for you and [~mengxr] to
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Kai Jiang edited comment on SPARK-7106 at 10/26/15 7:36 PM:
I would like to
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Kai Jiang commented on SPARK-7106:
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I would like to do this one after spark-6724 is done.
> Support
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Kai Jiang commented on SPARK-10024:
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PR hours later
> Python API RF and GBT related params clear up
>
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Kai Jiang commented on SPARK-10592:
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Hi [~mengxr],
I am interested in this issue. However, I am not
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Kai Jiang commented on SPARK-11059:
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Working on this~
> ML: change range of quantile probabilities in
Kai Jiang created SPARK-11059:
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Summary: ML: change range of quantile probabilities in
AFTSurvivalRegression
Key: SPARK-11059
URL: https://issues.apache.org/jira/browse/SPARK-11059
Project: Spark
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Kai Jiang updated SPARK-11059:
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External issue ID: 10688
> ML: change range of quantile probabilities in AFTSurvivalRegression
>
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Kai Jiang edited comment on SPARK-11059 at 10/12/15 12:59 AM:
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Working on
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Kai Jiang commented on SPARK-10688:
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Working on it~
> Python API for AFTSurvivalRegression
>
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Kai Jiang commented on SPARK-10688:
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May I take a try? Cause I am pretty interested in this one.
>
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