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Xiangrui Meng updated SPARK-14831:
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Assignee: Timothy Hunter (was: Xiangrui Meng)
> Make ML APIs in SparkR consistent
>
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Xiangrui Meng resolved SPARK-7264.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12426
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https://issues.apache.org/jira/browse/SPARK-14487?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-14487.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12259
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Xiangrui Meng updated SPARK-14850:
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Assignee: Wenchen Fan
> VectorUDT/MatrixUDT should take primitive arrays without boxing
>
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https://issues.apache.org/jira/browse/SPARK-14831?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15260981#comment-15260981
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Xiangrui Meng commented on SPARK-14831:
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+1 on `read.ml` and `write.ml`, which are consistent with
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Xiangrui Meng updated SPARK-14315:
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Assignee: Gayathri Murali
> GLMs model persistence in SparkR
>
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https://issues.apache.org/jira/browse/SPARK-14314?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-14314:
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Shepherd: Yanbo Liang
Assignee: Gayathri Murali
Target Version/s: 2.0.0
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Xiangrui Meng updated SPARK-14315:
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Target Version/s: 2.0.0
> GLMs model persistence in SparkR
>
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Xiangrui Meng updated SPARK-14315:
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Shepherd: Yanbo Liang
> GLMs model persistence in SparkR
>
>
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Xiangrui Meng resolved SPARK-14313.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12685
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Xiangrui Meng updated SPARK-14313:
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Assignee: Yanbo Liang
> AFTSurvivalRegression model persistence in SparkR
>
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https://issues.apache.org/jira/browse/SPARK-14313?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-14313:
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Target Version/s: 2.0.0
> AFTSurvivalRegression model persistence in SparkR
>
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https://issues.apache.org/jira/browse/SPARK-14312?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-14312.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12573
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Xiangrui Meng updated SPARK-14850:
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Priority: Blocker (was: Critical)
> VectorUDT/MatrixUDT should take primitive arrays without
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Xiangrui Meng updated SPARK-14850:
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Affects Version/s: 1.5.2
> VectorUDT/MatrixUDT should take primitive arrays without boxing
>
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Xiangrui Meng commented on SPARK-14850:
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Ran the following code with different Spark versions:
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Xiangrui Meng commented on SPARK-14831:
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1. Please see my reply to Felix above for the issue with
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Xiangrui Meng commented on SPARK-14831:
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We have been trying to mimic existing R APIs in SparkR.
Xiangrui Meng created SPARK-14850:
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Summary: VectorUDT/MatrixUDT should take primitive arrays without
boxing
Key: SPARK-14850
URL: https://issues.apache.org/jira/browse/SPARK-14850
Project: Spark
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Xiangrui Meng updated SPARK-14850:
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Description:
In SPARK-9390, we switched to use GenericArrayData to store indices and values
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Xiangrui Meng commented on SPARK-14314:
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Please hold until the naive Bayes one gets merged.
On
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Xiangrui Meng updated SPARK-14831:
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Description:
In current master, we have 4 ML methods in SparkR:
{code:none}
glm(formula,
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Xiangrui Meng updated SPARK-14831:
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Description:
In current master, we have 4 ML methods in SparkR:
{code:none}
glm(formula,
Xiangrui Meng created SPARK-14831:
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Summary: Make ML APIs in SparkR consistent
Key: SPARK-14831
URL: https://issues.apache.org/jira/browse/SPARK-14831
Project: Spark
Issue Type: Improvement
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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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Xiangrui Meng resolved SPARK-14479.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12287
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Xiangrui Meng updated SPARK-14479:
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Assignee: Yanbo Liang
> GLM supports output link prediction
>
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https://issues.apache.org/jira/browse/SPARK-7992?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15253031#comment-15253031
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Xiangrui Meng commented on SPARK-7992:
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Thanks for making this work in the official repo! I'm going
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Xiangrui Meng updated SPARK-7992:
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Assignee: Jakob Odersky
> Hide private classes/objects in in generated Java API doc
>
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Xiangrui Meng resolved SPARK-7992.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Hide private classes/objects in in generated
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Xiangrui Meng updated SPARK-14312:
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Target Version/s: 2.0.0
> NaiveBayes model persistence in SparkR
>
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Xiangrui Meng updated SPARK-14312:
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Assignee: Yanbo Liang
> NaiveBayes model persistence in SparkR
>
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Xiangrui Meng updated SPARK-14312:
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Shepherd: Xiangrui Meng
> NaiveBayes model persistence in SparkR
>
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https://issues.apache.org/jira/browse/SPARK-7264?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-7264:
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Target Version/s: 2.0.0
> SparkR API for parallel functions
> -
>
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Xiangrui Meng updated SPARK-7264:
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Assignee: Timothy Hunter
> SparkR API for parallel functions
> -
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https://issues.apache.org/jira/browse/SPARK-14299?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-14299:
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Assignee: Xusen Yin
> Scala ML examples code merge and clean up
>
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Xiangrui Meng resolved SPARK-14299.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12366
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Xiangrui Meng updated SPARK-14440:
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Assignee: Xusen Yin
> Remove PySpark ml.pipeline's specific Reader and Writer
>
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Xiangrui Meng resolved SPARK-14440.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12216
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https://issues.apache.org/jira/browse/SPARK-13944?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15243793#comment-15243793
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Xiangrui Meng commented on SPARK-13944:
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`mllib-local` by the name is not scoped just for local
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Xiangrui Meng updated SPARK-14657:
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Target Version/s: 2.0.0
> RFormula output wrong features when formula w/o intercept
>
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Xiangrui Meng updated SPARK-14657:
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Shepherd: Xiangrui Meng
> RFormula output wrong features when formula w/o intercept
>
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Xiangrui Meng updated SPARK-14657:
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Assignee: Yanbo Liang
> RFormula output wrong features when formula w/o intercept
>
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https://issues.apache.org/jira/browse/SPARK-13925?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-13925:
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Assignee: Yanbo Liang
> Expose R-like summary statistics in SparkR::glm for more family and
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Xiangrui Meng resolved SPARK-13925.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12393
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Xiangrui Meng resolved SPARK-14549.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12317
Xiangrui Meng created SPARK-14653:
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Summary: Remove NumericParser and jackson dependency from
mllib-local
Key: SPARK-14653
URL: https://issues.apache.org/jira/browse/SPARK-14653
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-14374?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-14374.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12383
Xiangrui Meng created SPARK-14646:
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Summary: k-means save/load should put one cluster per row
Key: SPARK-14646
URL: https://issues.apache.org/jira/browse/SPARK-14646
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-12869?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-12869.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 10839
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Xiangrui Meng resolved SPARK-14565.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12360
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https://issues.apache.org/jira/browse/SPARK-13944?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15240322#comment-15240322
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Xiangrui Meng commented on SPARK-13944:
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There are more production workflows using RDD-based APIs
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Xiangrui Meng commented on SPARK-14154:
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[~yuhaoyan] Thanks for the benchmark! I reverted the
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Xiangrui Meng closed SPARK-14154.
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Resolution: Not A Problem
Fix Version/s: (was: 2.0.0)
> Simplify the implementation
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Xiangrui Meng commented on SPARK-14154:
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Changed the priority to critical since we should decide
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Xiangrui Meng updated SPARK-14154:
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Priority: Critical (was: Minor)
> Simplify the implementation for Kolmogorov–Smirnov test
>
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Xiangrui Meng updated SPARK-14568:
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Shepherd: Joseph K. Bradley
> Log instrumentation in logistic regression as a first task
>
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Xiangrui Meng updated SPARK-14568:
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Target Version/s: 2.0.0
> Log instrumentation in logistic regression as a first task
>
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Xiangrui Meng updated SPARK-14568:
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Assignee: Timothy Hunter
> Log instrumentation in logistic regression as a first task
>
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https://issues.apache.org/jira/browse/SPARK-14311?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15237918#comment-15237918
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Xiangrui Meng commented on SPARK-14311:
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I think we can implement a generic load in a Scalar
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Xiangrui Meng updated SPARK-14549:
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Shepherd: Xiangrui Meng
> Copy the Vector and Matrix classes from mllib to ml in mllib-local
>
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Xiangrui Meng resolved SPARK-14147.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11958
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Xiangrui Meng updated SPARK-14147:
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Assignee: Yanbo Liang
> SparkR - ML predictors return features with vector datatype, however
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Xiangrui Meng resolved SPARK-14563.
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Resolution: Fixed
Fix Version/s: 1.6.2
2.0.0
Issue resolved by
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https://issues.apache.org/jira/browse/SPARK-13597?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-13597:
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Assignee: Kai Jiang
> Python API for GeneralizedLinearRegression
>
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Xiangrui Meng resolved SPARK-13597.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11468
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https://issues.apache.org/jira/browse/SPARK-13322?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-13322.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11365
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https://issues.apache.org/jira/browse/SPARK-13590?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-13590:
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Summary: Document the behavior of spark.ml logistic regression and AFT
survival regression
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Xiangrui Meng updated SPARK-13590:
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Assignee: Yanbo Liang
> Document the behavior of spark.ml logistic regression when there are
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Xiangrui Meng reopened SPARK-14154:
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Re-open this issue to continue discussion.
> Simplify the implementation for Kolmogorov–Smirnov
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Xiangrui Meng updated SPARK-14565:
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Description: Using regex is not robust and hard to maintain.
> RandomForest should use
Xiangrui Meng created SPARK-14565:
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Summary: RandomForest should use parseInt and parseDouble for
feature subset size instead of regexes
Key: SPARK-14565
URL: https://issues.apache.org/jira/browse/SPARK-14565
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https://issues.apache.org/jira/browse/SPARK-14154?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15237657#comment-15237657
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Xiangrui Meng commented on SPARK-14154:
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[~yuhaoyan] The main purpose of the initial implementation
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Xiangrui Meng resolved SPARK-14324.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Refactor GLMs code in SparkRWrappers
>
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https://issues.apache.org/jira/browse/SPARK-12566?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-12566.
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Resolution: Fixed
Fix Version/s: 2.0.0
> GLM model family, link function support in
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Xiangrui Meng updated SPARK-14563:
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Description:
`transformSchema` uses `__THIS__` as a temp table name, which would cause
errors
Xiangrui Meng created SPARK-14563:
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Summary: SQLTransformer.transformSchema is not implemented
correctly
Key: SPARK-14563
URL: https://issues.apache.org/jira/browse/SPARK-14563
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-13600?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-13600.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11553
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https://issues.apache.org/jira/browse/SPARK-13322?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-13322:
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Shepherd: Xiangrui Meng (was: DB Tsai)
> AFTSurvivalRegression should support feature
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Xiangrui Meng updated SPARK-14324:
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Assignee: Yanbo Liang
> Refactor GLMs code in SparkRWrappers
>
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https://issues.apache.org/jira/browse/SPARK-12566?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-12566:
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Shepherd: Xiangrui Meng (was: Yanbo Liang)
> GLM model family, link function support in
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https://issues.apache.org/jira/browse/SPARK-14462?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-14462.
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Resolution: Fixed
Issue resolved by pull request 12298
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https://issues.apache.org/jira/browse/SPARK-14510?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-14510:
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Assignee: zhengruifeng
> Add args-checking for LDA and StreamingKMeans
>
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Xiangrui Meng resolved SPARK-14510.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12062
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Xiangrui Meng updated SPARK-14510:
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Priority: Minor (was: Major)
> Add args-checking for LDA and StreamingKMeans
>
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https://issues.apache.org/jira/browse/SPARK-14500?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-14500.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12274
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https://issues.apache.org/jira/browse/SPARK-14497?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-14497:
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Assignee: Feng Wang
> Use top instead of sortBy() to get top N frequent words as dict in
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https://issues.apache.org/jira/browse/SPARK-14497?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-14497.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12265
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https://issues.apache.org/jira/browse/SPARK-14339?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-14339.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12063
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https://issues.apache.org/jira/browse/SPARK-14339?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-14339:
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Assignee: zhengruifeng
> Add python examples for DCT,MinMaxScaler,MaxAbsScaler
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https://issues.apache.org/jira/browse/SPARK-14462?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-14462.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12241
Xiangrui Meng created SPARK-14500:
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Summary: Accept Dataset[_] instead of DataFrame in MLlib APIs
Key: SPARK-14500
URL: https://issues.apache.org/jira/browse/SPARK-14500
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-14305?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-14305:
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Assignee: Yanbo Liang
> PySpark ml.clustering BisectingKMeans support export/import
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https://issues.apache.org/jira/browse/SPARK-14305?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-14305.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12112
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https://issues.apache.org/jira/browse/SPARK-14324?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-14324:
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Assignee: (was: Yanbo Liang)
> Refactor GLMs code in SparkRWrappers
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https://issues.apache.org/jira/browse/SPARK-14303?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-14303.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12039
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https://issues.apache.org/jira/browse/SPARK-14324?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-14324:
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Summary: Refactor GLMs code in SparkRWrappers (was: Refactor
SparkRWrappers)
> Refactor GLMs
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https://issues.apache.org/jira/browse/SPARK-14303?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-14303:
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Summary: Refactor k-means code in SparkRWrappers (was: Refactor
SparkRWrappers)
> Refactor
Xiangrui Meng created SPARK-14324:
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Summary: Refactor SparkRWrappers
Key: SPARK-14324
URL: https://issues.apache.org/jira/browse/SPARK-14324
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-11262?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-11262.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 9229
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https://issues.apache.org/jira/browse/SPARK-14295?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-14295.
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Resolution: Fixed
Issue resolved by pull request 12088
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