[jira] [Commented] (SPARK-16914) NodeManager crash when spark are registering executor infomartion into leveldb

[ https://issues.apache.org/jira/browse/SPARK-16914?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428285#comment-15428285 ] Thomas Graves commented on SPARK-16914: --- Actually with SPARK-14963, the cluster admin is supposed

[jira] [Commented] (SPARK-10713) SPARK_DIST_CLASSPATH ignored on Mesos executors

[ https://issues.apache.org/jira/browse/SPARK-10713?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428264#comment-15428264 ] Wolfgang Buchner commented on SPARK-10713: -- i am currently testing spark 2.0 with mesos and it

[jira] [Commented] (SPARK-16711) YarnShuffleService doesn't re-init properly on YARN rolling upgrade

[ https://issues.apache.org/jira/browse/SPARK-16711?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428257#comment-15428257 ] Apache Spark commented on SPARK-16711: -- User 'tgravescs' has created a pull request for this issue:

[jira] [Assigned] (SPARK-16711) YarnShuffleService doesn't re-init properly on YARN rolling upgrade

[ https://issues.apache.org/jira/browse/SPARK-16711?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16711: Assignee: (was: Apache Spark) > YarnShuffleService doesn't re-init properly on YARN

[jira] [Assigned] (SPARK-16711) YarnShuffleService doesn't re-init properly on YARN rolling upgrade

[ https://issues.apache.org/jira/browse/SPARK-16711?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16711: Assignee: Apache Spark > YarnShuffleService doesn't re-init properly on YARN rolling

[jira] [Commented] (SPARK-7159) Support multiclass logistic regression in spark.ml

[ https://issues.apache.org/jira/browse/SPARK-7159?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428256#comment-15428256 ] Nick Pentreath commented on SPARK-7159: --- SPARK-17133 is a set of follow-ups from this JIRA >

[jira] [Resolved] (SPARK-7159) Support multiclass logistic regression in spark.ml

[ https://issues.apache.org/jira/browse/SPARK-7159?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Nick Pentreath resolved SPARK-7159. --- Resolution: Fixed Fix Version/s: 2.1.0 > Support multiclass logistic regression in

[jira] [Commented] (SPARK-14378) Review spark.ml parity for regression, except trees

[ https://issues.apache.org/jira/browse/SPARK-14378?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428238#comment-15428238 ] Nick Pentreath commented on SPARK-14378: Any update? > Review spark.ml parity for regression,

[jira] [Commented] (SPARK-14381) Review spark.ml parity for feature transformers

[ https://issues.apache.org/jira/browse/SPARK-14381?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428235#comment-15428235 ] Nick Pentreath commented on SPARK-14381: [~yinxusen] is there anything outstanding in parity for

[jira] [Commented] (SPARK-14503) spark.ml API for FPGrowth

[ https://issues.apache.org/jira/browse/SPARK-14503?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428234#comment-15428234 ] Nick Pentreath commented on SPARK-14503: Shall we focus first on the porting of what is currently

[jira] [Commented] (SPARK-14501) spark.ml parity for fpm - frequent items

[ https://issues.apache.org/jira/browse/SPARK-14501?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428231#comment-15428231 ] Nick Pentreath commented on SPARK-14501: Any update? > spark.ml parity for fpm - frequent items

[jira] [Commented] (SPARK-17134) Use level 2 BLAS operations in LogisticAggregator

[ https://issues.apache.org/jira/browse/SPARK-17134?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428228#comment-15428228 ] Qian Huang commented on SPARK-17134: I could be your backup if you are not available. This task is

[jira] [Issue Comment Deleted] (SPARK-17134) Use level 2 BLAS operations in LogisticAggregator

[ https://issues.apache.org/jira/browse/SPARK-17134?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Qian Huang updated SPARK-17134: --- Comment: was deleted (was: I could be your backup if you are not available. This task is sort of

[jira] [Commented] (SPARK-17134) Use level 2 BLAS operations in LogisticAggregator

[ https://issues.apache.org/jira/browse/SPARK-17134?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428227#comment-15428227 ] Qian Huang commented on SPARK-17134: I could be your backup if you are not available. This task is

[jira] [Commented] (SPARK-17090) Make tree aggregation level in linear/logistic regression configurable

[ https://issues.apache.org/jira/browse/SPARK-17090?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428213#comment-15428213 ] Qian Huang commented on SPARK-17090: Thanks :) > Make tree aggregation level in linear/logistic

[jira] [Assigned] (SPARK-17090) Make tree aggregation level in linear/logistic regression configurable

[ https://issues.apache.org/jira/browse/SPARK-17090?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-17090: Assignee: (was: Apache Spark) > Make tree aggregation level in linear/logistic

[jira] [Commented] (SPARK-17090) Make tree aggregation level in linear/logistic regression configurable

[ https://issues.apache.org/jira/browse/SPARK-17090?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428186#comment-15428186 ] Apache Spark commented on SPARK-17090: -- User 'hqzizania' has created a pull request for this issue:

[jira] [Assigned] (SPARK-17090) Make tree aggregation level in linear/logistic regression configurable

[ https://issues.apache.org/jira/browse/SPARK-17090?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-17090: Assignee: Apache Spark > Make tree aggregation level in linear/logistic regression

[jira] [Updated] (SPARK-16994) Filter and limit are illegally permuted.

[ https://issues.apache.org/jira/browse/SPARK-16994?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan updated SPARK-16994: Assignee: Reynold Xin > Filter and limit are illegally permuted. >

[jira] [Resolved] (SPARK-16994) Filter and limit are illegally permuted.

[ https://issues.apache.org/jira/browse/SPARK-16994?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan resolved SPARK-16994. - Resolution: Fixed Fix Version/s: 2.1.0 2.0.1 Issue resolved by pull

[jira] [Created] (SPARK-17152) Spark Flume sink fails with begin() called when transaction is OPEN

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:

[jira] [Commented] (SPARK-17094) provide simplified API for ML pipeline

[ https://issues.apache.org/jira/browse/SPARK-17094?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428038#comment-15428038 ] Nick Pentreath commented on SPARK-17094: What about input/output columns? We could set the input

[jira] [Updated] (SPARK-16965) Fix bound checking for SparseVector

[ https://issues.apache.org/jira/browse/SPARK-16965?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean Owen updated SPARK-16965: -- Assignee: Jeff Zhang > Fix bound checking for SparseVector > --- > >

[jira] [Resolved] (SPARK-16965) Fix bound checking for SparseVector

[ https://issues.apache.org/jira/browse/SPARK-16965?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean Owen resolved SPARK-16965. --- Resolution: Fixed Fix Version/s: 2.1.0 Issue resolved by pull request 14555

[jira] [Commented] (SPARK-17141) MinMaxScaler behaves weird when min and max have the same value and some values are NaN

[ https://issues.apache.org/jira/browse/SPARK-17141?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15427996#comment-15427996 ] Alberto Bonsanto commented on SPARK-17141: -- Just a question, I had to be the pull requester in

[jira] [Updated] (SPARK-17141) MinMaxScaler behaves weird when min and max have the same value and some values are NaN

[ https://issues.apache.org/jira/browse/SPARK-17141?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Alberto Bonsanto updated SPARK-17141: - Description: When you have a {{DataFrame}} with a column named {{features}}, which is a

[jira] [Resolved] (SPARK-17141) MinMaxScaler behaves weird when min and max have the same value and some values are NaN

[ https://issues.apache.org/jira/browse/SPARK-17141?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Yanbo Liang resolved SPARK-17141. - Resolution: Fixed Fix Version/s: 2.1.0 > MinMaxScaler behaves weird when min and max have

[jira] [Comment Edited] (SPARK-15382) monotonicallyIncreasingId doesn't work when data is upsampled

[ https://issues.apache.org/jira/browse/SPARK-15382?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15427965#comment-15427965 ] Takeshi Yamamuro edited comment on SPARK-15382 at 8/19/16 10:23 AM:

[jira] [Assigned] (SPARK-17141) MinMaxScaler behaves weird when min and max have the same value and some values are NaN

[ https://issues.apache.org/jira/browse/SPARK-17141?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Yanbo Liang reassigned SPARK-17141: --- Assignee: Yanbo Liang > MinMaxScaler behaves weird when min and max have the same value and

[jira] [Commented] (SPARK-15382) monotonicallyIncreasingId doesn't work when data is upsampled

[ https://issues.apache.org/jira/browse/SPARK-15382?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15427965#comment-15427965 ] Takeshi Yamamuro commented on SPARK-15382: -- @rxin [~viirya] Seems this ticket has already been

[jira] [Updated] (SPARK-16961) Utils.randomizeInPlace does not shuffle arrays uniformly

[ https://issues.apache.org/jira/browse/SPARK-16961?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean Owen updated SPARK-16961: -- Assignee: Nicholas > Utils.randomizeInPlace does not shuffle arrays uniformly >

[jira] [Resolved] (SPARK-16961) Utils.randomizeInPlace does not shuffle arrays uniformly

[ https://issues.apache.org/jira/browse/SPARK-16961?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean Owen resolved SPARK-16961. --- Resolution: Fixed Fix Version/s: 2.1.0 2.0.1 Issue resolved by pull

[jira] [Assigned] (SPARK-16822) Support latex in scaladoc with MathJax

[ https://issues.apache.org/jira/browse/SPARK-16822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16822: Assignee: Shuai Lin (was: Apache Spark) > Support latex in scaladoc with MathJax >

[jira] [Assigned] (SPARK-16822) Support latex in scaladoc with MathJax

[ https://issues.apache.org/jira/browse/SPARK-16822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16822: Assignee: Apache Spark (was: Shuai Lin) > Support latex in scaladoc with MathJax >

[jira] [Commented] (SPARK-17141) MinMaxScaler behaves weird when min and max have the same value and some values are NaN

[ https://issues.apache.org/jira/browse/SPARK-17141?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15427860#comment-15427860 ] Yanbo Liang commented on SPARK-17141: - In the existing code, {{MinMaxScaler}} handle NaN value

[jira] [Comment Edited] (SPARK-17141) MinMaxScaler behaves weird when min and max have the same value and some values are NaN

[ https://issues.apache.org/jira/browse/SPARK-17141?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15427860#comment-15427860 ] Yanbo Liang edited comment on SPARK-17141 at 8/19/16 9:01 AM: -- In the

[jira] [Comment Edited] (SPARK-15816) SQL server based on Postgres protocol

[ https://issues.apache.org/jira/browse/SPARK-15816?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15427848#comment-15427848 ] Takeshi Yamamuro edited comment on SPARK-15816 at 8/19/16 8:56 AM: ---

[jira] [Commented] (SPARK-15816) SQL server based on Postgres protocol

[ https://issues.apache.org/jira/browse/SPARK-15816?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15427848#comment-15427848 ] Takeshi Yamamuro commented on SPARK-15816: -- About 1. Yea, we can support them in there; nested

[jira] [Commented] (SPARK-17141) MinMaxScaler behaves weird when min and max have the same value and some values are NaN

[ https://issues.apache.org/jira/browse/SPARK-17141?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15427846#comment-15427846 ] Apache Spark commented on SPARK-17141: -- User 'yanboliang' has created a pull request for this issue:

[jira] [Assigned] (SPARK-17141) MinMaxScaler behaves weird when min and max have the same value and some values are NaN

[ https://issues.apache.org/jira/browse/SPARK-17141?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-17141: Assignee: Apache Spark > MinMaxScaler behaves weird when min and max have the same value

[jira] [Updated] (SPARK-17141) MinMaxScaler behaves weird when min and max have the same value and some values are NaN

[ https://issues.apache.org/jira/browse/SPARK-17141?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Yanbo Liang updated SPARK-17141: Priority: Minor (was: Trivial) > MinMaxScaler behaves weird when min and max have the same value

[jira] [Assigned] (SPARK-17141) MinMaxScaler behaves weird when min and max have the same value and some values are NaN

[ https://issues.apache.org/jira/browse/SPARK-17141?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-17141: Assignee: (was: Apache Spark) > MinMaxScaler behaves weird when min and max have the

[jira] [Assigned] (SPARK-17085) Documentation and actual code differs - Unsupported Operations

[ https://issues.apache.org/jira/browse/SPARK-17085?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-17085: Assignee: (was: Apache Spark) > Documentation and actual code differs - Unsupported

[jira] [Commented] (SPARK-17085) Documentation and actual code differs - Unsupported Operations

[ https://issues.apache.org/jira/browse/SPARK-17085?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15427825#comment-15427825 ] Apache Spark commented on SPARK-17085: -- User 'jagadeesanas2' has created a pull request for this

[jira] [Assigned] (SPARK-17085) Documentation and actual code differs - Unsupported Operations

[ https://issues.apache.org/jira/browse/SPARK-17085?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-17085: Assignee: Apache Spark > Documentation and actual code differs - Unsupported Operations >

[jira] [Commented] (SPARK-17081) Empty strings not preserved which causes SQLException: mismatching column value count

[ https://issues.apache.org/jira/browse/SPARK-17081?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15427815#comment-15427815 ] Takeshi Yamamuro commented on SPARK-17081: -- At least, the current master works well for

[jira] [Updated] (SPARK-17140) Add initial model to MultinomialLogisticRegression

[ https://issues.apache.org/jira/browse/SPARK-17140?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Nick Pentreath updated SPARK-17140: --- Assignee: Seth Hendrickson > Add initial model to MultinomialLogisticRegression >

[jira] [Comment Edited] (SPARK-16785) dapply doesn't return array or raw columns

[ https://issues.apache.org/jira/browse/SPARK-16785?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15427788#comment-15427788 ] Clark Fitzgerald edited comment on SPARK-16785 at 8/19/16 7:58 AM: ---

[jira] [Commented] (SPARK-16785) dapply doesn't return array or raw columns

[ https://issues.apache.org/jira/browse/SPARK-16785?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15427788#comment-15427788 ] Clark Fitzgerald commented on SPARK-16785: -- Also my proposal above: bq. to treat the rows as a

[jira] [Commented] (SPARK-15816) SQL server based on Postgres protocol

[ https://issues.apache.org/jira/browse/SPARK-15816?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15427786#comment-15427786 ] Reynold Xin commented on SPARK-15816: - [~maropu] a few questions: 1. Can this support structs and

[jira] [Commented] (SPARK-16785) dapply doesn't return array or raw columns

[ https://issues.apache.org/jira/browse/SPARK-16785?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15427785#comment-15427785 ] Clark Fitzgerald commented on SPARK-16785: -- Making some slow progress digging into this. Here's

[jira] [Updated] (SPARK-17146) Add RandomizedSearch to the CrossValidator API

[ https://issues.apache.org/jira/browse/SPARK-17146?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean Owen updated SPARK-17146: -- Priority: Minor (was: Critical) > Add RandomizedSearch to the CrossValidator API >

[jira] [Updated] (SPARK-17146) Add RandomizedSearch to the CrossValidator API

[ https://issues.apache.org/jira/browse/SPARK-17146?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean Owen updated SPARK-17146: -- Priority: Critical (was: Major) > Add RandomizedSearch to the CrossValidator API >

[jira] [Commented] (SPARK-17081) Empty strings not preserved which causes SQLException: mismatching column value count

[ https://issues.apache.org/jira/browse/SPARK-17081?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15427770#comment-15427770 ] Ian Hellstrom commented on SPARK-17081: --- Unfortunately I cannot because I don't have access to a

[jira] [Updated] (SPARK-15018) PySpark ML Pipeline fails when no stages set

[ https://issues.apache.org/jira/browse/SPARK-15018?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Yanbo Liang updated SPARK-15018: Shepherd: Yanbo Liang Assignee: Bryan Cutler > PySpark ML Pipeline fails when no stages set >

[jira] [Issue Comment Deleted] (SPARK-17047) Spark 2 cannot create ORC table when CLUSTERED.

[ https://issues.apache.org/jira/browse/SPARK-17047?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jagadeesan A S updated SPARK-17047: --- Comment: was deleted (was: I would like to work on this issue) > Spark 2 cannot create ORC

[jira] [Reopened] (SPARK-16822) Support latex in scaladoc with MathJax

[ https://issues.apache.org/jira/browse/SPARK-16822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jagadeesan A S reopened SPARK-16822: Small modification in _LinearRegression.scala_ {code:java} {{{ L = 1/2n||\sum_i w_i(x_i -

[jira] [Commented] (SPARK-16994) Filter and limit are illegally permuted.

[ https://issues.apache.org/jira/browse/SPARK-16994?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15427711#comment-15427711 ] Apache Spark commented on SPARK-16994: -- User 'rxin' has created a pull request for this issue:

[jira] [Assigned] (SPARK-17072) generate table level stats:stats generation/storing/loading

[ https://issues.apache.org/jira/browse/SPARK-17072?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-17072: Assignee: (was: Apache Spark) > generate table level stats:stats

[jira] [Commented] (SPARK-17072) generate table level stats:stats generation/storing/loading

[ https://issues.apache.org/jira/browse/SPARK-17072?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15427692#comment-15427692 ] Apache Spark commented on SPARK-17072: -- User 'wzhfy' has created a pull request for this issue:

[jira] [Assigned] (SPARK-17072) generate table level stats:stats generation/storing/loading

[ https://issues.apache.org/jira/browse/SPARK-17072?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-17072: Assignee: Apache Spark > generate table level stats:stats generation/storing/loading >

[jira] [Commented] (SPARK-16581) Making JVM backend calling functions public

[ https://issues.apache.org/jira/browse/SPARK-16581?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15427687#comment-15427687 ] Felix Cheung commented on SPARK-16581: -- I think JVM<->R is closely related to RBackend? Because we

[jira] [Comment Edited] (SPARK-15816) SQL server based on Postgres protocol

[ https://issues.apache.org/jira/browse/SPARK-15816?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15427671#comment-15427671 ] Takeshi Yamamuro edited comment on SPARK-15816 at 8/19/16 6:07 AM: ---

[jira] [Commented] (SPARK-15816) SQL server based on Postgres protocol

[ https://issues.apache.org/jira/browse/SPARK-15816?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15427671#comment-15427671 ] Takeshi Yamamuro commented on SPARK-15816: -- [~sarutak] I just posted the design doc. and this is

[jira] [Updated] (SPARK-15816) SQL server based on Postgres protocol

[ https://issues.apache.org/jira/browse/SPARK-15816?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Takeshi Yamamuro updated SPARK-15816: - Attachment: New_SQL_Server_for_Spark.pdf > SQL server based on Postgres protocol >

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