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Apache Spark commented on SPARK-10110:
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User 'Lewuathe' has created a pull request
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Apache Spark reassigned SPARK-10110:
Assignee: Apache Spark
StringIndexer lacks of parameter handleInvalid.
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Apache Spark reassigned SPARK-10110:
Assignee: (was: Apache Spark)
StringIndexer lacks of parameter handleInvalid.
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Thomas Demoor commented on SPARK-7481:
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[~srowen] and [~pc...@uowmail.edu.au]: with
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Apache Spark reassigned SPARK-10111:
Assignee: (was: Apache Spark)
StringIndexerModel lacks of method labels
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Apache Spark reassigned SPARK-10111:
Assignee: Apache Spark
StringIndexerModel lacks of method labels
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Apache Spark commented on SPARK-10111:
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User 'Lewuathe' has created a pull request
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Abhinav Mishra updated SPARK-10112:
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Description:
I have this piece of code which works fine on one machine but when I run this
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Sean Owen resolved SPARK-8949.
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Resolution: Fixed
Fix Version/s: 1.5.0
Issue resolved by pull request 7874
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Virgil Palanciuc commented on SPARK-10109:
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Full version details (if it
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Apache Spark reassigned SPARK-10108:
Assignee: (was: Apache Spark)
Add @since tags to mllib.feature
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Apache Spark commented on SPARK-10108:
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User 'MechCoder' has created a pull request
Virgil Palanciuc created SPARK-10109:
Summary: NPE when saving Parquet To HDFS
Key: SPARK-10109
URL: https://issues.apache.org/jira/browse/SPARK-10109
Project: Spark
Issue Type: Bug
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Apache Spark reassigned SPARK-10108:
Assignee: Apache Spark
Add @since tags to mllib.feature
Kai Sasaki created SPARK-10110:
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Summary: StringIndexer lacks of parameter handleInvalid.
Key: SPARK-10110
URL: https://issues.apache.org/jira/browse/SPARK-10110
Project: Spark
Issue Type:
Jordan Thomas created SPARK-10113:
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Summary: Support for unsigned Parquet logical types
Key: SPARK-10113
URL: https://issues.apache.org/jira/browse/SPARK-10113
Project: Spark
Issue Type:
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Sean Owen updated SPARK-8949:
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Assignee: Han JU
Remove references to preferredNodeLocalityData in javadoc and print warning
when used
Kai Sasaki created SPARK-10111:
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Summary: StringIndexerModel lacks of method labels
Key: SPARK-10111
URL: https://issues.apache.org/jira/browse/SPARK-10111
Project: Spark
Issue Type:
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Kai Sasaki updated SPARK-10111:
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Description: Missing {{labels}} property of {{StringIndexerModel}} in
pyspark. (was: Missing
Abhinav Mishra created SPARK-10112:
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Summary: ValueError: Can only zip with RDD which has the same
number of partitions on one machine but not on another
Key: SPARK-10112
URL:
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Abhinav Mishra commented on SPARK-10112:
I am doing an assert on
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Shixiong Zhu commented on SPARK-9812:
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queue_stream.py failed because it uses `xrange`
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Xiangrui Meng commented on SPARK-7992:
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We need to update the official genjavadoc to
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Yanbo Liang commented on SPARK-10027:
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[~lewuathe] I'm sorry that I have worked on
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Xiangrui Meng updated SPARK-9848:
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Summary: Add @Since annotation to new public APIs in 1.5 (was: Add @since
tag to new public APIs
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Abhinav Mishra updated SPARK-10112:
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Description:
I have this piece of code which works fine on one machine but when I run this
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Abhinav Mishra commented on SPARK-10112:
I have put the assertion before the line
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Michal Laclavik updated SPARK-10115:
Description:
I am running ALS collaborative filtering training on data which looks as
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Aram Mkrtchyan commented on SPARK-5480:
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According to our investigation Spark stores
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Sean Owen commented on SPARK-10112:
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How do you know the assertion succeeds if it
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Aram Mkrtchyan edited comment on SPARK-5480 at 8/19/15 3:21 PM:
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Yanbo Liang commented on SPARK-10023:
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[~josephkb] I have note the inconsistent
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Abhinav Mishra commented on SPARK-10112:
theres only 1 partition in both the
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Apache Spark reassigned SPARK-9812:
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Assignee: Apache Spark (was: Shixiong Zhu)
Test all new Python API examples
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Yin Huai commented on SPARK-9944:
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where did you put your {{hive-site.xml}}? Also, in
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Apache Spark commented on SPARK-10027:
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User 'yanboliang' has created a pull request
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Apache Spark reassigned SPARK-10027:
Assignee: Apache Spark
Add Python API missing methods for ml.feature
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Apache Spark reassigned SPARK-10027:
Assignee: (was: Apache Spark)
Add Python API missing methods for ml.feature
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Yin Huai updated SPARK-10104:
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Description:
Right now, we have QualifiedTableName, TableIdentifier, and Seq[String] to
represent table
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Sean Owen commented on SPARK-10112:
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Do the partitions have the same number of elements
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Herman van Hovell commented on SPARK-9357:
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{{JoinedRow}} adds branches and a
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Yin Huai updated SPARK-10104:
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Description:
Right now, we have QualifiedTableName, TableIdentifier, and Seq[String] to
represent table
Xiangrui Meng created SPARK-10117:
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Summary: Implement SQL data source API for reading LIBSVM data
Key: SPARK-10117
URL: https://issues.apache.org/jira/browse/SPARK-10117
Project: Spark
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Manoj Kumar commented on SPARK-9848:
Do we want to tag spark.ml in this release as
Imran Rashid created SPARK-10116:
Summary: XORShiftRandom should generate uniform seeds
Key: SPARK-10116
URL: https://issues.apache.org/jira/browse/SPARK-10116
Project: Spark
Issue Type: Bug
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Manku Timma commented on SPARK-9944:
Let me describe what I tried out:
1. set the
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Apache Spark reassigned SPARK-10114:
Assignee: (was: Apache Spark)
Add optional getters to the spark.sql.Row
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Apache Spark commented on SPARK-10114:
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User 'crakjie' has created a pull request
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Xiangrui Meng updated SPARK-9895:
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Shepherd: Xiangrui Meng
User Guide for RFormula Feature Transformer
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Apache Spark reassigned SPARK-10114:
Assignee: Apache Spark
Add optional getters to the spark.sql.Row
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Xiangrui Meng commented on SPARK-9848:
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Well, there are many under `spark.ml`.
Add
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Michal Laclavik updated SPARK-10115:
Description:
I am running ALS collaborative filtering training on data which looks as
Michal Laclavik created SPARK-10115:
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Summary: MLlib ALS training fails with java.lang.ClassCastException
Key: SPARK-10115
URL: https://issues.apache.org/jira/browse/SPARK-10115
Project: Spark
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Michal Laclavik updated SPARK-10115:
Description:
I am running ALS collaborative filtering training on data which looks as
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Apache Spark reassigned SPARK-9812:
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Assignee: Shixiong Zhu (was: Apache Spark)
Test all new Python API examples
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Apache Spark commented on SPARK-9812:
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User 'zsxwing' has created a pull request for
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Sean Owen commented on SPARK-10112:
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I don't think you've demonstrated that they have
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Xiangrui Meng resolved SPARK-10060.
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Resolution: Fixed
Fix Version/s: 1.5.0
Issue resolved by pull request 8244
etienne created SPARK-10114:
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Summary: Add optional getters to the spark.sql.Row
Key: SPARK-10114
URL: https://issues.apache.org/jira/browse/SPARK-10114
Project: Spark
Issue Type: Improvement
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Apache Spark reassigned SPARK-10116:
Assignee: Imran Rashid (was: Apache Spark)
XORShiftRandom should generate uniform seeds
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Apache Spark reassigned SPARK-10116:
Assignee: Apache Spark (was: Imran Rashid)
XORShiftRandom should generate uniform seeds
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Apache Spark commented on SPARK-10116:
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User 'squito' has created a pull request for
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Shixiong Zhu commented on SPARK-9812:
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Tested Streaming Python examples using Python
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Xiangrui Meng resolved SPARK-10084.
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Resolution: Fixed
Fix Version/s: 1.5.0
Issue resolved by pull request 8279
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Davies Liu commented on SPARK-9644:
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[~robbinspg] It's fixed by
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Xiangrui Meng updated SPARK-9665:
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Priority: Critical (was: Minor)
ML 1.5 QA: API: Experimental, DeveloperApi, final, sealed audit
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Auberon López commented on SPARK-9226:
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Sure, I can go ahead and write one up.
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Feynman Liang commented on SPARK-10022:
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That would be awesome! I tried doing
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Marcelo Vanzin resolved SPARK-5754.
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Resolution: Fixed
Fix Version/s: 1.6.0
Spark AM not launching on Windows
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Marcelo Vanzin resolved SPARK-9833.
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Resolution: Fixed
Assignee: Marcelo Vanzin
Fix Version/s: 1.6.0
Add options
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Seth Hendrickson commented on SPARK-4240:
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[~pprett] MLlib's current
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Reynold Xin updated SPARK-9148:
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Priority: Critical (was: Blocker)
User-facing documentation for NaN handling semantics
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Shivaram Venkataraman updated SPARK-10118:
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Description: This includes checking if the new DataFrame functions
expression
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Joseph K. Bradley resolved SPARK-8521.
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Resolution: Fixed
Feature Transformers in 1.5
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Joseph K. Bradley commented on SPARK-7780:
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Yep, 1.6 I'd say
The intercept in
Shivaram Venkataraman created SPARK-10118:
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Summary: Improve SparkR API docs for 1.5 release
Key: SPARK-10118
URL: https://issues.apache.org/jira/browse/SPARK-10118
Project: Spark
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Apache Spark commented on SPARK-10119:
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User 'vanzin' has created a pull request for
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Xiangrui Meng updated SPARK-9893:
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Shepherd: Feynman Liang
User guide for VectorSlicer
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Joseph K. Bradley commented on SPARK-10027:
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This will actually be Ok to
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Joseph K. Bradley updated SPARK-10027:
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Target Version/s: 1.6.0
Add Python API missing methods for ml.feature
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William Dixon commented on SPARK-4412:
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Happening in 1.3.1 as well :(
Parquet
Marcelo Vanzin created SPARK-10119:
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Summary: Utils.isDynamicAllocationEnabled returns wrong value if
dynAlloc is explicitly disabled
Key: SPARK-10119
URL: https://issues.apache.org/jira/browse/SPARK-10119
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Seth Hendrickson edited comment on SPARK-4240 at 8/19/15 5:26 PM:
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Joseph K. Bradley updated SPARK-7290:
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Parent Issue: SPARK-9930 (was: SPARK-8521)
Add StringVectorizer
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Reynold Xin resolved SPARK-9208.
Resolution: Fixed
Fix Version/s: 1.5.0
Audit DataFrame expression API for 1.5 release
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Shivaram Venkataraman resolved SPARK-9856.
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Resolution: Fixed
Fix Version/s: 1.5.0
Issue resolved by pull request
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Shivaram Venkataraman updated SPARK-9856:
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Assignee: Yu Ishikawa
Add expression functions into SparkR whose params are
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Shivaram Venkataraman commented on SPARK-10118:
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[~rxin] Can you include
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Xiangrui Meng commented on SPARK-7379:
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In Python 2:
{code}
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https://issues.apache.org/jira/browse/SPARK-10119?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-10119:
Assignee: Apache Spark
Utils.isDynamicAllocationEnabled returns wrong value if dynAlloc
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https://issues.apache.org/jira/browse/SPARK-10119?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-10119:
Assignee: (was: Apache Spark)
Utils.isDynamicAllocationEnabled returns wrong value
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https://issues.apache.org/jira/browse/SPARK-10023?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14703518#comment-14703518
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Joseph K. Bradley commented on SPARK-10023:
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Oh, I see now, thanks for
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https://issues.apache.org/jira/browse/SPARK-9550?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-9550:
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Priority: Major (was: Blocker)
Configuration renaming, defaults changes, and deprecation for 1.5.0
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https://issues.apache.org/jira/browse/SPARK-9963?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14703542#comment-14703542
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Joseph K. Bradley commented on SPARK-9963:
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Not that I know, so please go ahead.
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https://issues.apache.org/jira/browse/SPARK-7751?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-7751:
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Description:
This is useful to check whether a feature exists in some version of Spark. This
is
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https://issues.apache.org/jira/browse/SPARK-9791?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-9791:
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Priority: Critical (was: Blocker)
Review API for developer and experimental tags
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https://issues.apache.org/jira/browse/SPARK-9671?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14703571#comment-14703571
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Joseph K. Bradley commented on SPARK-9671:
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Non-breaking changes to behavior:
*
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https://issues.apache.org/jira/browse/SPARK-7379?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14703583#comment-14703583
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Davies Liu commented on SPARK-7379:
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[~mengxr] This is a known issue that how to
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https://issues.apache.org/jira/browse/SPARK-10120?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-10120.
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Resolution: Done
Fix Version/s: 1.5.0
Update MLlib website for 1.5
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https://issues.apache.org/jira/browse/SPARK-10106?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shivaram Venkataraman updated SPARK-10106:
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Assignee: Yu Ishikawa
Add `ifelse` Column function to SparkR
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