Yanbo Liang created SPARK-14971:
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Summary: PySpark ML Params setter code clean up
Key: SPARK-14971
URL: https://issues.apache.org/jira/browse/SPARK-14971
Project: Spark
Issue Type: Improvement
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Yanbo Liang commented on SPARK-14906:
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I will give a try if no one work on it. Thanks.
> Move
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Yanbo Liang edited comment on SPARK-14831 at 4/22/16 2:37 PM:
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This change
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Yanbo Liang commented on SPARK-14831:
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This change looks good to me. Thanks!
BTW, I think we should
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Yanbo Liang commented on SPARK-14847:
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[~sowen] Sorry, I did not found out SPARK-13448. I will close
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Yanbo Liang updated SPARK-14847:
Description: This PR records the breaking changes of ML/MLlib between 1.6
and 2.0, so we can note
Yanbo Liang created SPARK-14847:
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Summary: ML/MLlib breaking changes between 1.6 & 2.0
Key: SPARK-14847
URL: https://issues.apache.org/jira/browse/SPARK-14847
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-11559?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15253755#comment-15253755
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Yanbo Liang commented on SPARK-11559:
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Sure, sent https://github.com/apache/spark/pull/12608 to
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Yanbo Liang commented on SPARK-14730:
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[~BenFradet] I'm not working on it. Please feel free to take
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https://issues.apache.org/jira/browse/SPARK-14659?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15242762#comment-15242762
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Yanbo Liang commented on SPARK-14659:
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[~mengxr] [~josephkb]
> OneHotEncoder support drop first
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Yanbo Liang updated SPARK-14657:
Description:
SparkR::glm output different features compared with R glm when fit w/o
intercept and
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Yanbo Liang updated SPARK-14657:
Description:
SparkR::glm output different features compared with R glm when fit w/o
intercept and
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https://issues.apache.org/jira/browse/SPARK-14657?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang updated SPARK-14657:
Description:
SparkR::glm output different features compared with R glm when fit w/o
intercept.
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https://issues.apache.org/jira/browse/SPARK-14657?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang updated SPARK-14657:
Description:
SparkR::glm output different features compared with R glm. Take the following
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Yanbo Liang updated SPARK-14657:
Description:
SparkR::glm output different features compared with R glm.
SparkR::glm
{quote}
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Yanbo Liang updated SPARK-14657:
Description:
SparkR::glm output different features compared with R glm.
SparkR::glm
{quote}
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https://issues.apache.org/jira/browse/SPARK-14659?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15242739#comment-15242739
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Yanbo Liang edited comment on SPARK-14659 at 4/15/16 10:08 AM:
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Take the
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Yanbo Liang commented on SPARK-14659:
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For example:
{quote}
df=data.frame(id = c(1, 2, 3, 4), a =
Yanbo Liang created SPARK-14659:
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Summary: OneHotEncoder support drop first category alphabetically
in the encoded vector
Key: SPARK-14659
URL: https://issues.apache.org/jira/browse/SPARK-14659
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Yanbo Liang commented on SPARK-14657:
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>From the above cases, we can learn that only the first
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Yanbo Liang edited comment on SPARK-14657 at 4/15/16 9:44 AM:
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More cases in
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Yanbo Liang edited comment on SPARK-14657 at 4/15/16 9:44 AM:
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More cases in
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Yanbo Liang edited comment on SPARK-14657 at 4/15/16 9:41 AM:
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More cases in
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Yanbo Liang edited comment on SPARK-14657 at 4/15/16 9:41 AM:
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More cases in
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Yanbo Liang edited comment on SPARK-14657 at 4/15/16 9:39 AM:
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More cases in
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Yanbo Liang edited comment on SPARK-14657 at 4/15/16 9:40 AM:
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More cases in
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Yanbo Liang commented on SPARK-14657:
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More cases in R:
{quote}
df=data.frame(income=c(5,5,3,3,6,5),
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Yanbo Liang updated SPARK-14657:
Description:
SparkR::glm output different features compared with R glm.
SparkR::glm
{quote}
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https://issues.apache.org/jira/browse/SPARK-14657?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang updated SPARK-14657:
Description:
SparkR::glm output different features compared with R glm.
SparkR::glm
{quote}
Yanbo Liang created SPARK-14657:
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Summary: RFormula output wrong features when formula w/o intercept
Key: SPARK-14657
URL: https://issues.apache.org/jira/browse/SPARK-14657
Project: Spark
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Yanbo Liang commented on SPARK-10574:
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Sure, I will sent a PR in a few days. Thanks!
> HashingTF
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Yanbo Liang commented on SPARK-13925:
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I'm working on it.
> Expose R-like summary statistics in
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Yanbo Liang commented on SPARK-14311:
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Sure, I can have a try.
Another issue is R `Object` has
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Yanbo Liang commented on SPARK-13590:
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If there are constant columns and fitIntercept is false, Spark
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Yanbo Liang edited comment on SPARK-14479 at 4/10/16 1:59 PM:
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Had offline
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Yanbo Liang updated SPARK-14479:
Summary: GLM supports output link prediction (was: GLM predict type should
be link or response?)
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https://issues.apache.org/jira/browse/SPARK-14479?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang updated SPARK-14479:
Issue Type: Improvement (was: Question)
> GLM predict type should be link or response?
>
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Yanbo Liang commented on SPARK-14479:
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Had offline discussion with [~mengxr], we can output 2
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Yanbo Liang edited comment on SPARK-14479 at 4/10/16 1:52 PM:
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Had offline
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Yanbo Liang closed SPARK-14517.
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Resolution: Duplicate
> GLM should support predict link
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>
>
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Yanbo Liang updated SPARK-14517:
Issue Type: Improvement (was: Question)
> GLM should support predict link
>
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Yanbo Liang updated SPARK-14517:
Summary: GLM should support predict link (was: CLONE - GLM predict type
should be link or
Yanbo Liang created SPARK-14517:
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Summary: CLONE - GLM predict type should be link or response?
Key: SPARK-14517
URL: https://issues.apache.org/jira/browse/SPARK-14517
Project: Spark
Issue
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Yanbo Liang commented on SPARK-14478:
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Should we add a param that control whether use biased or
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Yanbo Liang updated SPARK-14479:
Component/s: SparkR
> GLM predict type should be link or response?
>
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Yanbo Liang updated SPARK-14479:
Description:
In R glm and glmnet, the default type of predict is "link" which is the linear
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Yanbo Liang commented on SPARK-14479:
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This will introduce break change, so it's better make decision
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Yanbo Liang updated SPARK-14479:
Description:
In R glm and glmnet, the default type of predict is "link" which is the linear
Yanbo Liang created SPARK-14479:
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Summary: GLM predict type should be link or response?
Key: SPARK-14479
URL: https://issues.apache.org/jira/browse/SPARK-14479
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-14378?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15231579#comment-15231579
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Yanbo Liang commented on SPARK-14378:
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I can work on it.
> Review spark.ml parity for regression,
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Yanbo Liang edited comment on SPARK-14311 at 4/6/16 6:34 AM:
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When I worked
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Yanbo Liang commented on SPARK-14311:
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When I worked at SPARK-14313, I found that we can easily
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https://issues.apache.org/jira/browse/SPARK-13783?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15225525#comment-15225525
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Yanbo Liang commented on SPARK-13783:
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[~josephkb] I will work on this.
> Model export/import for
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Yanbo Liang edited comment on SPARK-14303 at 4/1/16 4:00 AM:
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[~mengxr] I
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Yanbo Liang commented on SPARK-14303:
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[~mengxr] I have make the refactor for k-means, I will link
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Yanbo Liang commented on SPARK-14313:
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Sure, please assign it to me.
> AFTSurvivalRegression model
Yanbo Liang created SPARK-14298:
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Summary: LDA should support disable checkpoint
Key: SPARK-14298
URL: https://issues.apache.org/jira/browse/SPARK-14298
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-7424?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15218253#comment-15218253
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Yanbo Liang edited comment on SPARK-7424 at 3/30/16 4:32 PM:
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[~josephkb] We
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Yanbo Liang edited comment on SPARK-7424 at 3/30/16 4:29 PM:
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[~josephkb] We
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Yanbo Liang updated SPARK-7424:
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Comment: was deleted
(was: [~josephkb] We should copy metadata from the labelCol to the
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Yanbo Liang commented on SPARK-7424:
[~josephkb] We should copy metadata from the labelCol to the
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Yanbo Liang commented on SPARK-7424:
[~josephkb] We should copy metadata from the labelCol to the
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Yanbo Liang commented on SPARK-13783:
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[~GayathriMurali] Please go first, I will help to review your
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Yanbo Liang edited comment on SPARK-14147 at 3/25/16 9:19 AM:
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I vote that
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Yanbo Liang commented on SPARK-14147:
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I vote to not output feature column in predict, because R
Yanbo Liang created SPARK-14152:
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Summary: MultilayerPerceptronClassifier supports save/load for
Python API
Key: SPARK-14152
URL: https://issues.apache.org/jira/browse/SPARK-14152
Project: Spark
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Yanbo Liang edited comment on SPARK-13783 at 3/25/16 4:15 AM:
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Yanbo Liang commented on SPARK-13783:
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GBTClassificationModel contains array of
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Yanbo Liang edited comment on SPARK-14076 at 3/24/16 1:45 PM:
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[~mengxr]
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Yanbo Liang edited comment on SPARK-14076 at 3/24/16 1:41 PM:
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[~mengxr]
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Yanbo Liang edited comment on SPARK-14076 at 3/24/16 1:39 PM:
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[~mengxr]
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Yanbo Liang commented on SPARK-14076:
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[~mengxr] Because NaiveBayesModel extends from
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Yanbo Liang commented on SPARK-4607:
Actually this has been fixed by SPARK-13952
> Add random seed to
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Yanbo Liang commented on SPARK-13998:
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I think we should first make refactor for UnaryTransformer to
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Yanbo Liang commented on SPARK-13783:
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Hi [~yuhaoyan], are you working on this issue? If not, I can
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Yanbo Liang commented on SPARK-13968:
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[~mlnick] Can I work on this?
> Use MurmurHash3 for hashing
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Yanbo Liang commented on SPARK-13968:
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Sure, I will do performance comparison firstly.
> Use
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Yanbo Liang commented on SPARK-13785:
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[~josephkb] Can I work on this?
I vote to make model field
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Yanbo Liang commented on SPARK-12664:
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[~GayathriMurali] I'm not working on this currently, please
Yanbo Liang created SPARK-13615:
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Summary: GeneralizedLinearRegression support save/load
Key: SPARK-13615
URL: https://issues.apache.org/jira/browse/SPARK-13615
Project: Spark
Issue Type:
Yanbo Liang created SPARK-13613:
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Summary: Provide ignored tests to export test dataset into CSV
format
Key: SPARK-13613
URL: https://issues.apache.org/jira/browse/SPARK-13613
Project: Spark
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Yanbo Liang updated SPARK-13448:
Description:
This JIRA keeps a list of MLlib behavior changes in Spark 2.0. So we can
remember to
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https://issues.apache.org/jira/browse/SPARK-13448?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang updated SPARK-13448:
Description:
This JIRA keeps a list of MLlib behavior changes in Spark 2.0. So we can
remember to
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https://issues.apache.org/jira/browse/SPARK-13448?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang updated SPARK-13448:
Description:
This JIRA keeps a list of MLlib behavior changes in Spark 2.0. So we can
remember to
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https://issues.apache.org/jira/browse/SPARK-13448?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang updated SPARK-13448:
Description:
This JIRA keeps a list of MLlib behavior changes in Spark 2.0. So we can
remember to
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https://issues.apache.org/jira/browse/SPARK-13448?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang updated SPARK-13448:
Description:
This JIRA keeps a list of MLlib behavior changes in Spark 2.0. So we can
remember to
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https://issues.apache.org/jira/browse/SPARK-13448?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang updated SPARK-13448:
Description:
This JIRA keeps a list of MLlib behavior changes in Spark 2.0. So we can
remember to
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https://issues.apache.org/jira/browse/SPARK-13448?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Yanbo Liang updated SPARK-13448:
Description:
This JIRA keeps a list of MLlib behavior changes in Spark 2.0. So we can
remember to
[
https://issues.apache.org/jira/browse/SPARK-13448?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Yanbo Liang updated SPARK-13448:
Description:
This JIRA keeps a list of MLlib behavior changes in Spark 2.0. So we can
remember to
[
https://issues.apache.org/jira/browse/SPARK-13448?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Yanbo Liang updated SPARK-13448:
Description:
This JIRA keeps a list of MLlib behavior changes in Spark 2.0. So we can
remember to
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https://issues.apache.org/jira/browse/SPARK-13545?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang updated SPARK-13545:
Description:
* The default value of regParam of PySpark MLlib LogisticRegressionWithLBFGS
should
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https://issues.apache.org/jira/browse/SPARK-13545?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang updated SPARK-13545:
Summary: Make MLlib LogisticRegressionWithLBFGS's default parameters
consistent in Scala and
Yanbo Liang created SPARK-13545:
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Summary: Make MLlib LR's default parameters consistent in Scala
and Python
Key: SPARK-13545
URL: https://issues.apache.org/jira/browse/SPARK-13545
Project: Spark
Yanbo Liang created SPARK-13504:
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Summary: Add approxQuantile for SparkR
Key: SPARK-13504
URL: https://issues.apache.org/jira/browse/SPARK-13504
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-13490?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang updated SPARK-13490:
Description: Like SPARK-13132 for LogisticRegression, LinearRegression with
L1 regularization
Yanbo Liang created SPARK-13490:
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Summary: ML LinearRegression should cache standardization param
value
Key: SPARK-13490
URL: https://issues.apache.org/jira/browse/SPARK-13490
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-13372?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang closed SPARK-13372.
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Resolution: Not A Bug
> ML LogisticRegression behaves incorrectly when standardization = false &&
>
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https://issues.apache.org/jira/browse/SPARK-13010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15162677#comment-15162677
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Yanbo Liang commented on SPARK-13010:
-
OK, we will firstly support `Surv` by hack to catch up with
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https://issues.apache.org/jira/browse/SPARK-13429?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang updated SPARK-13429:
Description: In order to provide better and consistent result, let's change
the default value of
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https://issues.apache.org/jira/browse/SPARK-13429?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang updated SPARK-13429:
Description: In order to provide better and consistent result, let's change
the default value of
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