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Bryan Cutler updated SPARK-15018:
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Description:
When fitting a PySpark Pipeline with no stages, it should work as an identity
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https://issues.apache.org/jira/browse/SPARK-12868?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428519#comment-15428519
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Apache Spark commented on SPARK-12868:
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User 'Parth-Brahmbhatt' has created a pull request for this
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Miao Wang commented on SPARK-17157:
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[~felixcheung] Shall we add it to SparkR? I open this JIRA for
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Mikael Valot updated SPARK-17155:
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Description:
The following code throws an exception in the spark shell:
{code:java}
case class
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https://issues.apache.org/jira/browse/SPARK-14381?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428557#comment-15428557
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Xusen Yin commented on SPARK-14381:
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I believe we can resolve this.
> Review spark.ml parity for
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Bryan Cutler updated SPARK-15018:
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Issue Type: Improvement (was: Bug)
> PySpark ML Pipeline fails when no stages set
>
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Bryan Cutler updated SPARK-15018:
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Summary: PySpark ML Pipeline raises unclear error when no stages set (was:
PySpark ML Pipeline
Miao Wang created SPARK-17156:
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Summary: Add multiclass logistic regression Scala Example
Key: SPARK-17156
URL: https://issues.apache.org/jira/browse/SPARK-17156
Project: Spark
Issue Type: Task
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Miao Wang commented on SPARK-17156:
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I will submit PR soon.
> Add multiclass logistic regression Scala
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Michael Gummelt commented on SPARK-10401:
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This should probably be a separate JIRA, but I'm just
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Apache Spark reassigned SPARK-17158:
Assignee: (was: Apache Spark)
> Improve error message for numeric literal parsing
>
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Apache Spark commented on SPARK-17158:
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User 'srinathshankar' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-13286?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu reassigned SPARK-13286:
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Assignee: Davies Liu
> JDBC driver doesn't report full exception
>
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Apache Spark reassigned SPARK-17158:
Assignee: Apache Spark
> Improve error message for numeric literal parsing
>
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Apache Spark commented on SPARK-17154:
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User 'sarutak' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17154:
Assignee: (was: Apache Spark)
> Wrong result can be returned or AnalysisException can
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Apache Spark reassigned SPARK-17154:
Assignee: Apache Spark
> Wrong result can be returned or AnalysisException can be thrown
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Bryan Cutler updated SPARK-15018:
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Description:
When fitting a PySpark Pipeline with no stages, it should work as an identity
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Mikael Valot updated SPARK-17155:
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Description:
The following code throws an exception in the spark shell:
{code:java}
case class
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Mikael Valot updated SPARK-17155:
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Description:
The following code throws an exception in the spark shell:
{code:scala}
case class
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Reynold Xin updated SPARK-16686:
Fix Version/s: 2.0.1
> Dataset.sample with seed: result seems to depend on downstream usage
>
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Bryan Cutler updated SPARK-15018:
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Priority: Minor (was: Major)
> PySpark ML Pipeline fails when no stages set
>
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Bryan Cutler resolved SPARK-16197.
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Resolution: Won't Fix
This minor change is would be better addressed during a QA audit
>
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Miao Wang updated SPARK-17157:
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Component/s: SparkR
> Add multiclass logistic regression SparkR Wrapper
>
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Reynold Xin updated SPARK-15382:
Fix Version/s: 2.1.0
2.0.1
> monotonicallyIncreasingId doesn't work when data
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Davies Liu updated SPARK-17113:
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Assignee: Sital Kedia
> Job failure due to Executor OOM in offheap mode
>
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Davies Liu resolved SPARK-17113.
Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
> Job failure due to
Steve Loughran created SPARK-17159:
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Summary: Improve FileInputDStream.findNewFiles list performance
Key: SPARK-17159
URL: https://issues.apache.org/jira/browse/SPARK-17159
Project: Spark
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Reynold Xin closed SPARK-15382.
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Resolution: Fixed
> monotonicallyIncreasingId doesn't work when data is upsampled
>
Mikael Valot created SPARK-17155:
Summary: usage of a Dataset inside a Future throws
MissingRequirementError
Key: SPARK-17155
URL: https://issues.apache.org/jira/browse/SPARK-17155
Project: Spark
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Dongjoon Hyun closed SPARK-16152.
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Resolution: Invalid
Hi, [~fushar].
This seems to be a SQL question. [~kevinyu98] is right.
Miao Wang created SPARK-17157:
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Summary: Add multiclass logistic regression SparkR Wrapper
Key: SPARK-17157
URL: https://issues.apache.org/jira/browse/SPARK-17157
Project: Spark
Issue Type: New
Srinath created SPARK-17158:
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Summary: Improve error message for numeric literal parsing
Key: SPARK-17158
URL: https://issues.apache.org/jira/browse/SPARK-17158
Project: Spark
Issue Type: Bug
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Dongjoon Hyun commented on SPARK-10746:
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Just as an update, Spark 2.0 now raises an exception for
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Sean Owen updated SPARK-17146:
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Priority: Critical (was: Major)
> Add RandomizedSearch to the CrossValidator API
>
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Clark Fitzgerald edited comment on SPARK-16785 at 8/19/16 7:58 AM:
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Apache Spark commented on SPARK-17085:
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User 'jagadeesanas2' has created a pull request for this
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Apache Spark reassigned SPARK-17085:
Assignee: (was: Apache Spark)
> Documentation and actual code differs - Unsupported
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Apache Spark reassigned SPARK-17085:
Assignee: Apache Spark
> Documentation and actual code differs - Unsupported Operations
>
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Takeshi Yamamuro edited comment on SPARK-15816 at 8/19/16 8:56 AM:
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Takeshi Yamamuro commented on SPARK-15816:
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About 1.
Yea, we can support them in there; nested
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Yanbo Liang updated SPARK-15018:
Shepherd: Yanbo Liang
Assignee: Bryan Cutler
> PySpark ML Pipeline fails when no stages set
>
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Clark Fitzgerald commented on SPARK-16785:
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Also my proposal above:
bq. to treat the rows as a
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Reynold Xin commented on SPARK-15816:
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[~maropu] a few questions:
1. Can this support structs and
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Apache Spark reassigned SPARK-16822:
Assignee: Apache Spark (was: Shuai Lin)
> Support latex in scaladoc with MathJax
>
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Apache Spark commented on SPARK-16994:
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User 'rxin' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17140?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath updated SPARK-17140:
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Assignee: Seth Hendrickson
> Add initial model to MultinomialLogisticRegression
>
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Jagadeesan A S reopened SPARK-16822:
Small modification in _LinearRegression.scala_
{code:java}
{{{
L = 1/2n||\sum_i w_i(x_i -
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Jagadeesan A S updated SPARK-17047:
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Comment: was deleted
(was: I would like to work on this issue)
> Spark 2 cannot create ORC
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Sean Owen updated SPARK-17146:
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Priority: Minor (was: Critical)
> Add RandomizedSearch to the CrossValidator API
>
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Clark Fitzgerald commented on SPARK-16785:
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Making some slow progress digging into this. Here's
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Takeshi Yamamuro commented on SPARK-17081:
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At least, the current master works well for
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Yanbo Liang updated SPARK-17141:
Priority: Minor (was: Trivial)
> MinMaxScaler behaves weird when min and max have the same value
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Apache Spark commented on SPARK-17141:
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User 'yanboliang' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17141:
Assignee: (was: Apache Spark)
> MinMaxScaler behaves weird when min and max have the
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Apache Spark reassigned SPARK-17141:
Assignee: Apache Spark
> MinMaxScaler behaves weird when min and max have the same value
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Yanbo Liang edited comment on SPARK-17141 at 8/19/16 9:01 AM:
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In the
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Yanbo Liang commented on SPARK-17141:
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In the existing code, {{MinMaxScaler}} handle NaN value
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Apache Spark reassigned SPARK-16822:
Assignee: Shuai Lin (was: Apache Spark)
> Support latex in scaladoc with MathJax
>
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Ian Hellstrom commented on SPARK-17081:
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Unfortunately I cannot because I don't have access to a
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Sean Owen resolved SPARK-16961.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue resolved by pull
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Takeshi Yamamuro edited comment on SPARK-15816 at 8/19/16 6:07 AM:
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Takeshi Yamamuro updated SPARK-15816:
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Attachment: New_SQL_Server_for_Spark.pdf
> SQL server based on Postgres protocol
>
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Apache Spark reassigned SPARK-17072:
Assignee: (was: Apache Spark)
> generate table level stats:stats
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Takeshi Yamamuro commented on SPARK-15816:
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[~sarutak] I just posted the design doc. and this is
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Felix Cheung commented on SPARK-16581:
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I think JVM<->R is closely related to RBackend?
Because we
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Apache Spark commented on SPARK-17072:
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User 'wzhfy' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17072:
Assignee: Apache Spark
> generate table level stats:stats generation/storing/loading
>
Wojciech Sznapka created SPARK-17152:
Summary: Spark Flume sink fails with begin() called when
transaction is OPEN
Key: SPARK-17152
URL: https://issues.apache.org/jira/browse/SPARK-17152
Project:
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Wenchen Fan resolved SPARK-16994.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue resolved by pull
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Wenchen Fan updated SPARK-16994:
Assignee: Reynold Xin
> Filter and limit are illegally permuted.
>
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Apache Spark reassigned SPARK-17090:
Assignee: (was: Apache Spark)
> Make tree aggregation level in linear/logistic
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Apache Spark commented on SPARK-17090:
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User 'hqzizania' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17090:
Assignee: Apache Spark
> Make tree aggregation level in linear/logistic regression
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https://issues.apache.org/jira/browse/SPARK-14501?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428231#comment-15428231
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Nick Pentreath commented on SPARK-14501:
Any update?
> spark.ml parity for fpm - frequent items
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Qian Huang commented on SPARK-17134:
I could be your backup if you are not available. This task is
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Qian Huang updated SPARK-17134:
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Comment: was deleted
(was: I could be your backup if you are not available. This task is sort of
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Nick Pentreath commented on SPARK-14378:
Any update?
> Review spark.ml parity for regression,
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Qian Huang commented on SPARK-17134:
I could be your backup if you are not available. This task is
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Nick Pentreath commented on SPARK-14503:
Shall we focus first on the porting of what is currently
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Nick Pentreath commented on SPARK-14381:
[~yinxusen] is there anything outstanding in parity for
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Nick Pentreath resolved SPARK-7159.
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Resolution: Fixed
Fix Version/s: 2.1.0
> Support multiclass logistic regression in
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Qian Huang commented on SPARK-17090:
Thanks :)
> Make tree aggregation level in linear/logistic
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Sean Owen updated SPARK-16961:
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Assignee: Nicholas
> Utils.randomizeInPlace does not shuffle arrays uniformly
>
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Alberto Bonsanto updated SPARK-17141:
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Description:
When you have a {{DataFrame}} with a column named {{features}}, which is a
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Sean Owen updated SPARK-16965:
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Assignee: Jeff Zhang
> Fix bound checking for SparseVector
> ---
>
>
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Sean Owen resolved SPARK-16965.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14555
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Yanbo Liang reassigned SPARK-17141:
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Assignee: Yanbo Liang
> MinMaxScaler behaves weird when min and max have the same value and
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https://issues.apache.org/jira/browse/SPARK-15382?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15427965#comment-15427965
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Takeshi Yamamuro edited comment on SPARK-15382 at 8/19/16 10:23 AM:
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https://issues.apache.org/jira/browse/SPARK-15382?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15427965#comment-15427965
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Takeshi Yamamuro commented on SPARK-15382:
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@rxin [~viirya] Seems this ticket has already been
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https://issues.apache.org/jira/browse/SPARK-17141?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang resolved SPARK-17141.
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Resolution: Fixed
Fix Version/s: 2.1.0
> MinMaxScaler behaves weird when min and max have
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https://issues.apache.org/jira/browse/SPARK-17141?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15427996#comment-15427996
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Alberto Bonsanto commented on SPARK-17141:
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Just a question, I had to be the pull requester in
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https://issues.apache.org/jira/browse/SPARK-17094?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428038#comment-15428038
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Nick Pentreath commented on SPARK-17094:
What about input/output columns? We could set the input
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https://issues.apache.org/jira/browse/SPARK-7159?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428256#comment-15428256
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Nick Pentreath commented on SPARK-7159:
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SPARK-17133 is a set of follow-ups from this JIRA
>
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https://issues.apache.org/jira/browse/SPARK-10713?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428264#comment-15428264
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Wolfgang Buchner commented on SPARK-10713:
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i am currently testing spark 2.0 with mesos and it
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https://issues.apache.org/jira/browse/SPARK-17148?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428289#comment-15428289
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Thomas Graves commented on SPARK-17148:
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If this is causing the nodemanager to die this is bad and
Dmitri Carpov created SPARK-17153:
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Summary: [Structured streams] readStream ignores partition columns
Key: SPARK-17153
URL: https://issues.apache.org/jira/browse/SPARK-17153
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-11227?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Thomas Graves resolved SPARK-11227.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
> Spark1.5+ HDFS HA
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https://issues.apache.org/jira/browse/SPARK-16673?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Thomas Graves resolved SPARK-16673.
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Resolution: Fixed
Fix Version/s: 2.1.0
> New Executor Page displays columns that used
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Thomas Graves updated SPARK-11227:
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Assignee: Kousuke Saruta
> Spark1.5+ HDFS HA mode throw java.net.UnknownHostException:
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