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Xiangrui Meng resolved SPARK-3156.
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Resolution: Fixed
Fix Version/s: 1.2.0
DecisionTree: Order categorical features
Xiangrui Meng created SPARK-3443:
Summary: Update the default values of some decision tree parameters
Key: SPARK-3443
URL: https://issues.apache.org/jira/browse/SPARK-3443
Project: Spark
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Xiangrui Meng updated SPARK-3443:
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Priority: Minor (was: Major)
Target Version/s: 1.2.0
Update the default values of
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Xiangrui Meng commented on SPARK-3249:
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I think we should point to the one with the
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Xiangrui Meng updated SPARK-3160:
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Assignee: Joseph K. Bradley
Simplify DecisionTree data structure for training
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Xiangrui Meng resolved SPARK-3443.
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Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 2322
Xiangrui Meng created SPARK-3459:
Summary: MulticlassMetrics is not serializable
Key: SPARK-3459
URL: https://issues.apache.org/jira/browse/SPARK-3459
Project: Spark
Issue Type: Bug
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Xiangrui Meng closed SPARK-3459.
Resolution: Cannot Reproduce
MulticlassMetrics is not serializable
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Xiangrui Meng resolved SPARK-3494.
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Resolution: Fixed
Assignee: Joseph K. Bradley
https://github.com/apache/spark/pull/2341
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Xiangrui Meng resolved SPARK-3160.
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Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 2341
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Xiangrui Meng updated SPARK-3494:
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Fix Version/s: 1.2.0
DecisionTree overflow error in calculating maxMemoryUsage
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https://issues.apache.org/jira/browse/SPARK-2830?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-2830.
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Resolution: Fixed
Fix Version/s: 1.1.0
MLlib v1.1 documentation
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Xiangrui Meng updated SPARK-2838:
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Target Version/s: 1.2.0 (was: 1.1.0)
performance tests for feature transformations
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Xiangrui Meng updated SPARK-3249:
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Target Version/s: 1.2.0 (was: 1.1.0)
Fix links in ScalaDoc that cause warning messages in
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Xiangrui Meng updated SPARK-3436:
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Assignee: Liquan Pei
[MLlib]Streaming SVM
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Key:
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Xiangrui Meng updated SPARK-2838:
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Assignee: (was: Xiangrui Meng)
performance tests for feature transformations
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Xiangrui Meng commented on SPARK-1405:
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[~xusen] and [~gq] Thanks for working on LDA!
Xiangrui Meng created SPARK-3530:
Summary: Pipeline and Parameters
Key: SPARK-3530
URL: https://issues.apache.org/jira/browse/SPARK-3530
Project: Spark
Issue Type: Sub-task
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https://issues.apache.org/jira/browse/SPARK-3396?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-3396.
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Resolution: Fixed
Change LogistricRegressionWithSGD's default regType to L2
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Xiangrui Meng resolved SPARK-3516.
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Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 2349
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Xiangrui Meng updated SPARK-3516:
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Assignee: Joseph K. Bradley
DecisionTree Python support for params maxInstancesPerNode,
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Xiangrui Meng commented on SPARK-3366:
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It is more about communication than
Xiangrui Meng created SPARK-3541:
Summary: Improve ALS internal storage
Key: SPARK-3541
URL: https://issues.apache.org/jira/browse/SPARK-3541
Project: Spark
Issue Type: Improvement
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Xiangrui Meng commented on SPARK-3530:
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[~srowen] Thanks for the comments!
The new
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Xiangrui Meng updated SPARK-3181:
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Priority: Major (was: Critical)
Add Robust Regression Algorithm with Huber Estimator
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https://issues.apache.org/jira/browse/SPARK-3188?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-3188:
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Priority: Minor (was: Critical)
Add Robust Regression Algorithm with Tukey bisquare weight
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Xiangrui Meng updated SPARK-3188:
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Affects Version/s: (was: 1.0.2)
Add Robust Regression Algorithm with Tukey bisquare weight
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Xiangrui Meng updated SPARK-3181:
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Affects Version/s: (was: 1.0.2)
Add Robust Regression Algorithm with Huber Estimator
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Xiangrui Meng updated SPARK-3181:
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Target Version/s: 1.2.0 (was: 1.1.1, 1.2.0)
Add Robust Regression Algorithm with Huber
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https://issues.apache.org/jira/browse/SPARK-1503?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-1503:
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Assignee: (was: Xiangrui Meng)
Implement Nesterov's accelerated first-order method
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Xiangrui Meng updated SPARK-3357:
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Assignee: (was: Xiangrui Meng)
Internal log messages should be set at DEBUG level instead of
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https://issues.apache.org/jira/browse/SPARK-3258?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-3258:
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Assignee: (was: Xiangrui Meng)
Python API for streaming MLlib algorithms
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https://issues.apache.org/jira/browse/SPARK-1486?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-1486:
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Assignee: Burak Yavuz (was: Xiangrui Meng)
Support multi-model training in MLlib
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Xiangrui Meng resolved SPARK-2944.
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Resolution: Cannot Reproduce
Closing this one now because I couldn't find an easy way to
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Xiangrui Meng updated SPARK-3066:
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Assignee: (was: Xiangrui Meng)
Support recommendAll in matrix factorization model
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https://issues.apache.org/jira/browse/SPARK-3568?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-3568:
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Priority: Minor (was: Major)
Add metrics for ranking algorithms
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Xiangrui Meng updated SPARK-3568:
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Assignee: Shuo Xiang
Add metrics for ranking algorithms
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Xiangrui Meng created SPARK-3569:
Summary: Add metadata field to StructField
Key: SPARK-3569
URL: https://issues.apache.org/jira/browse/SPARK-3569
Project: Spark
Issue Type: New Feature
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Xiangrui Meng updated SPARK-3569:
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Component/s: MLlib
ML
Add metadata field to StructField
Xiangrui Meng created SPARK-3572:
Summary: Support register UserType in SQL
Key: SPARK-3572
URL: https://issues.apache.org/jira/browse/SPARK-3572
Project: Spark
Issue Type: New Feature
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Xiangrui Meng updated SPARK-3573:
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Shepherd: Michael Armbrust
Dataset
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Key: SPARK-3573
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Xiangrui Meng updated SPARK-3569:
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Description:
Want to add a metadata field to StructField that can be used by other
applications
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https://issues.apache.org/jira/browse/SPARK-3270?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-3270:
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Issue Type: New Feature (was: Improvement)
Spark API for Application Extensions
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Xiangrui Meng commented on SPARK-3403:
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Sorry, it should be netlib-java, but the real
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Xiangrui Meng commented on SPARK-3530:
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[~eustache] The default implementation of
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Xiangrui Meng edited comment on SPARK-3530 at 9/18/14 10:06 PM:
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Xiangrui Meng updated SPARK-3573:
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Description:
This JIRA is for discussion of ML dataset, essentially a SchemaRDD with extra
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Xiangrui Meng updated SPARK-3600:
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Summary: RDD[Double] doesn't use primitive arrays for caching (was:
RandomRDDs doesn't create
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Xiangrui Meng updated SPARK-3600:
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Issue Type: Improvement (was: Bug)
RDD[Double] doesn't use primitive arrays for caching
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Xiangrui Meng updated SPARK-3600:
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Component/s: (was: MLlib)
RDD[Double] doesn't use primitive arrays for caching
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Xiangrui Meng updated SPARK-3600:
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Target Version/s: (was: 1.1.1, 1.2.0)
RDD[Double] doesn't use primitive arrays for caching
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Xiangrui Meng commented on SPARK-3573:
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[~sandyr] SQL/Streaming/GraphX provide
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Xiangrui Meng reassigned SPARK-3541:
Assignee: Xiangrui Meng
Improve ALS internal storage
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Xiangrui Meng resolved SPARK-1484.
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Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 2347
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Xiangrui Meng updated SPARK-1484:
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Assignee: Aaron Staple
MLlib should warn if you are using an iterative algorithm on non-cached
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Xiangrui Meng commented on SPARK-1405:
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[~Guoqiang Li] and [~pedrorodriguez], since
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Xiangrui Meng updated SPARK-1405:
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Assignee: Guoqiang Li (was: Xusen Yin)
parallel Latent Dirichlet Allocation (LDA) atop of spark
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Xiangrui Meng updated SPARK-1405:
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Shepherd: Xiangrui Meng
parallel Latent Dirichlet Allocation (LDA) atop of spark in MLlib
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Xiangrui Meng commented on SPARK-1241:
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This is implemented MLlib:
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Xiangrui Meng commented on SPARK-3588:
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Please follow the instructions at
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Xiangrui Meng resolved SPARK-3614.
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Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 2494
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https://issues.apache.org/jira/browse/SPARK-2516?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14149721#comment-14149721
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Xiangrui Meng commented on SPARK-2516:
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The plan was to implement Bag of Little
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Xiangrui Meng updated SPARK-2516:
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Assignee: Yu Ishikawa
Bootstrapping
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Key: SPARK-2516
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https://issues.apache.org/jira/browse/SPARK-1547?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-1547:
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Shepherd: Joseph K. Bradley
Add gradient boosting algorithm to MLlib
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Xiangrui Meng updated SPARK-1547:
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Target Version/s: 1.2.0
Add gradient boosting algorithm to MLlib
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Xiangrui Meng updated SPARK-3700:
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Assignee: (was: Yin Huai)
Improve the performance of JSON parser
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https://issues.apache.org/jira/browse/SPARK-3701?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-3701:
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Priority: Minor (was: Major)
Some clean-up work after the refactoring of MLlib's SerDe for
Xiangrui Meng created SPARK-3701:
Summary: Some clean-up work after the refactoring of MLlib's SerDe
for PySpark
Key: SPARK-3701
URL: https://issues.apache.org/jira/browse/SPARK-3701
Project: Spark
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Xiangrui Meng updated SPARK-3702:
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Assignee: Joseph K. Bradley
Standardize MLlib classes for learners, models
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https://issues.apache.org/jira/browse/SPARK-1545?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-1545:
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Assignee: Joseph K. Bradley (was: Manish Amde)
Add Random Forest algorithm to MLlib
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Xiangrui Meng resolved SPARK-1545.
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Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 2435
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Xiangrui Meng updated SPARK-3366:
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Assignee: Qiping Li
Compute best splits distributively in decision tree
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https://issues.apache.org/jira/browse/SPARK-2885?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-2885.
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Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 1778
Xiangrui Meng created SPARK-3735:
Summary: Sending the factor directly or AtA based on the cost in
ALS
Key: SPARK-3735
URL: https://issues.apache.org/jira/browse/SPARK-3735
Project: Spark
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Xiangrui Meng commented on SPARK-3434:
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[~shivaram] Could you post the design of the
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https://issues.apache.org/jira/browse/SPARK-3366?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-3366:
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Target Version/s: 1.2.0
Compute best splits distributively in decision tree
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https://issues.apache.org/jira/browse/SPARK-3436?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-3436:
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Summary: Streaming SVM (was: [MLlib]Streaming SVM )
Streaming SVM
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https://issues.apache.org/jira/browse/SPARK-3486?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-3486:
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Summary: Add PySpark support for Word2Vec (was: [MLlib]Add PySpark support
for Word2Vec)
Add
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Xiangrui Meng updated SPARK-3158:
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Target Version/s: 1.2.0
Avoid 1 extra aggregation for DecisionTree training
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https://issues.apache.org/jira/browse/SPARK-3158?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-3158:
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Priority: Major (was: Minor)
Avoid 1 extra aggregation for DecisionTree training
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https://issues.apache.org/jira/browse/SPARK-3161?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-3161:
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Priority: Major (was: Minor)
Target Version/s: 1.2.0
Cache example-node map for
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Xiangrui Meng commented on SPARK-3541:
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I put the implementation at
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Xiangrui Meng resolved SPARK-3701.
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Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 2548
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https://issues.apache.org/jira/browse/SPARK-3751?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-3751:
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Assignee: Joseph K. Bradley
DecisionTreeRunner functionality improvement
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Xiangrui Meng resolved SPARK-3751.
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Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 2604
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https://issues.apache.org/jira/browse/SPARK-3572?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-3572:
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Assignee: Joseph K. Bradley
Support register UserType in SQL
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https://issues.apache.org/jira/browse/SPARK-3366?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-3366.
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Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 2595
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https://issues.apache.org/jira/browse/SPARK-1655?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-1655:
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Assignee: Aaron Staple
In naive Bayes, store conditional probabilities distributively.
Xiangrui Meng created SPARK-3820:
Summary: Specialize columnSimilarity() without any threshold
Key: SPARK-3820
URL: https://issues.apache.org/jira/browse/SPARK-3820
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-3803?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14161281#comment-14161281
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Xiangrui Meng commented on SPARK-3803:
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In `computeCovariance`, we generate a warning
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https://issues.apache.org/jira/browse/SPARK-3370?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng closed SPARK-3370.
Resolution: Duplicate
This is a known issue. We can fix it by checkpointing intermediate RDDs. For
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https://issues.apache.org/jira/browse/SPARK-3424?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-3424:
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Assignee: Derrick Burns
KMeans Plus Plus is too slow
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https://issues.apache.org/jira/browse/SPARK-3261?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-3261:
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Assignee: Derrick Burns
KMeans clusterer can return duplicate cluster centers
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https://issues.apache.org/jira/browse/SPARK-3828?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14161540#comment-14161540
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Xiangrui Meng commented on SPARK-3828:
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`text8` doesn't contain any line feed
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https://issues.apache.org/jira/browse/SPARK-3434?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14162156#comment-14162156
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Xiangrui Meng commented on SPARK-3434:
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[~shivaram] and [~ConcreteVitamin] Any
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https://issues.apache.org/jira/browse/SPARK-3828?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng reopened SPARK-3828:
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Spark returns inconsistent results when building with different Hadoop
version
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https://issues.apache.org/jira/browse/SPARK-3828?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14162439#comment-14162439
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Xiangrui Meng commented on SPARK-3828:
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I re-opened this because it may be a serious
Xiangrui Meng created SPARK-3838:
Summary: Python code example for Word2Vec in user guide
Key: SPARK-3838
URL: https://issues.apache.org/jira/browse/SPARK-3838
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-3790?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-3790.
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Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 2622
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https://issues.apache.org/jira/browse/SPARK-3486?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-3486.
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Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 2356
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