[jira] [Commented] (SPARK-6980) Akka timeout exceptions indicate which conf controls them

[ https://issues.apache.org/jira/browse/SPARK-6980?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14505493#comment-14505493 ] Bryan Cutler commented on SPARK-6980: - Hi [~pwendell], I already have been working on

[jira] [Commented] (SPARK-7127) Broadcast spark.ml tree ensemble models for predict

[ https://issues.apache.org/jira/browse/SPARK-7127?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14513290#comment-14513290 ] Bryan Cutler commented on SPARK-7127: - I saw that the blocking issue was resolved and

[jira] [Comment Edited] (SPARK-7127) Broadcast spark.ml tree ensemble models for predict

[ https://issues.apache.org/jira/browse/SPARK-7127?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14513290#comment-14513290 ] Bryan Cutler edited comment on SPARK-7127 at 4/26/15 10:59 PM:

[jira] [Comment Edited] (SPARK-6980) Akka timeout exceptions indicate which conf controls them

[ https://issues.apache.org/jira/browse/SPARK-6980?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14512069#comment-14512069 ] Bryan Cutler edited comment on SPARK-6980 at 4/26/15 9:57 PM: --

[jira] [Commented] (SPARK-6980) Akka timeout exceptions indicate which conf controls them

[ https://issues.apache.org/jira/browse/SPARK-6980?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14505768#comment-14505768 ] Bryan Cutler commented on SPARK-6980: - Sure, I'd be happy to work together :D I

[jira] [Issue Comment Deleted] (SPARK-6980) Akka timeout exceptions indicate which conf controls them

[ https://issues.apache.org/jira/browse/SPARK-6980?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Bryan Cutler updated SPARK-6980: Comment: was deleted (was: Modified ActorWordCount example to produce akka timeout) Akka timeout

[jira] [Updated] (SPARK-6980) Akka timeout exceptions indicate which conf controls them

[ https://issues.apache.org/jira/browse/SPARK-6980?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Bryan Cutler updated SPARK-6980: Attachment: Spark-6980-Test.scala Modified ActorWordCount example to produce akka timeout Akka

[jira] [Commented] (SPARK-6980) Akka timeout exceptions indicate which conf controls them

[ https://issues.apache.org/jira/browse/SPARK-6980?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14512069#comment-14512069 ] Bryan Cutler commented on SPARK-6980: - I'm working out of trunk. Changing the

[jira] [Commented] (SPARK-6980) Akka timeout exceptions indicate which conf controls them

[ https://issues.apache.org/jira/browse/SPARK-6980?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14512209#comment-14512209 ] Bryan Cutler commented on SPARK-6980: - Thanks for the clarification [~imranr], that

[jira] [Commented] (SPARK-7127) Broadcast spark.ml tree ensemble models for predict

[ https://issues.apache.org/jira/browse/SPARK-7127?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14511526#comment-14511526 ] Bryan Cutler commented on SPARK-7127: - Hey [~josephkb], I'd love to work on this to

[jira] [Commented] (SPARK-7127) Broadcast spark.ml tree ensemble models for predict

[ https://issues.apache.org/jira/browse/SPARK-7127?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14511844#comment-14511844 ] Bryan Cutler commented on SPARK-7127: - Sounds good, thank you :D Broadcast spark.ml

[jira] [Updated] (SPARK-7236) AkkaUtils askWithReply sleeps indefinitely when a timeout exception is thrown

[ https://issues.apache.org/jira/browse/SPARK-7236?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Bryan Cutler updated SPARK-7236: Attachment: SparkLongSleepAfterTimeout.scala Attaching some code to reproduce this issue.

[jira] [Comment Edited] (SPARK-7236) AkkaUtils askWithReply sleeps indefinitely when a timeout exception is thrown

[ https://issues.apache.org/jira/browse/SPARK-7236?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14519862#comment-14519862 ] Bryan Cutler edited comment on SPARK-7236 at 4/29/15 6:38 PM: --

[jira] [Commented] (SPARK-7236) AkkaUtils askWithReply sleeps indefinitely when a timeout exception is thrown

[ https://issues.apache.org/jira/browse/SPARK-7236?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14519862#comment-14519862 ] Bryan Cutler commented on SPARK-7236: - According to git blame, it looks like the

[jira] [Updated] (SPARK-7236) AkkaUtils askWithReply sleeps indefinitely when a timeout exception is thrown

[ https://issues.apache.org/jira/browse/SPARK-7236?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Bryan Cutler updated SPARK-7236: Description: When {{AkkaUtils.askWithReply}} gets a TimeoutException, the default parameters

[jira] [Updated] (SPARK-6980) Akka timeout exceptions indicate which conf controls them

[ https://issues.apache.org/jira/browse/SPARK-6980?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Bryan Cutler updated SPARK-6980: Attachment: Spark-6980-Test.scala Akka timeout exceptions indicate which conf controls them

[jira] [Commented] (SPARK-7127) Broadcast spark.ml tree ensemble models for predict

[ https://issues.apache.org/jira/browse/SPARK-7127?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14526322#comment-14526322 ] Bryan Cutler commented on SPARK-7127: - I have a couple questions [~josephkb] to make

[jira] [Commented] (SPARK-7127) Broadcast spark.ml tree ensemble models for predict

[ https://issues.apache.org/jira/browse/SPARK-7127?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14522832#comment-14522832 ] Bryan Cutler commented on SPARK-7127: - I've been looking through the new ensemble API

[jira] [Created] (SPARK-7236) AkkaUtils askWithReply sleeps indefinitely when a timeout exception is thrown

Bryan Cutler created SPARK-7236: --- Summary: AkkaUtils askWithReply sleeps indefinitely when a timeout exception is thrown Key: SPARK-7236 URL: https://issues.apache.org/jira/browse/SPARK-7236 Project:

[jira] [Updated] (SPARK-6980) Akka timeout exceptions indicate which conf controls them

[ https://issues.apache.org/jira/browse/SPARK-6980?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Bryan Cutler updated SPARK-6980: Attachment: (was: Spark-6980-Test.scala) Akka timeout exceptions indicate which conf controls

[jira] [Commented] (SPARK-6980) Akka timeout exceptions indicate which conf controls them

[ https://issues.apache.org/jira/browse/SPARK-6980?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14516607#comment-14516607 ] Bryan Cutler commented on SPARK-6980: - Hey [~imranr] and [~harshg], I just added a

[jira] [Commented] (SPARK-6980) Akka timeout exceptions indicate which conf controls them

[ https://issues.apache.org/jira/browse/SPARK-6980?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14531498#comment-14531498 ] Bryan Cutler commented on SPARK-6980: - [~harshg], sorry I have not seen those

[jira] [Created] (SPARK-7522) ML Examples option for dataFormat should not be enclosed in angle brackets

Bryan Cutler created SPARK-7522: --- Summary: ML Examples option for dataFormat should not be enclosed in angle brackets Key: SPARK-7522 URL: https://issues.apache.org/jira/browse/SPARK-7522 Project:

[jira] [Commented] (SPARK-7522) ML Examples option for dataFormat should not be enclosed in angle brackets

[ https://issues.apache.org/jira/browse/SPARK-7522?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14537674#comment-14537674 ] Bryan Cutler commented on SPARK-7522: - pinging [~josephkb] to verify ML Examples

[jira] [Commented] (SPARK-6980) Akka timeout exceptions indicate which conf controls them

[ https://issues.apache.org/jira/browse/SPARK-6980?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14525927#comment-14525927 ] Bryan Cutler commented on SPARK-6980: - I added another commit to the PR and some basic

[jira] [Commented] (SPARK-7127) Broadcast spark.ml tree ensemble models for predict

[ https://issues.apache.org/jira/browse/SPARK-7127?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14528028#comment-14528028 ] Bryan Cutler commented on SPARK-7127: - Sure, I'll keep at it :D, thanks for the tips!

[jira] [Commented] (SPARK-6980) Akka timeout exceptions indicate which conf controls them

[ https://issues.apache.org/jira/browse/SPARK-6980?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14541072#comment-14541072 ] Bryan Cutler commented on SPARK-6980: - [~harshg] I'm close to pushing the changes from

[jira] [Commented] (SPARK-7127) Broadcast spark.ml tree ensemble models for predict

[ https://issues.apache.org/jira/browse/SPARK-7127?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14541326#comment-14541326 ] Bryan Cutler commented on SPARK-7127: - Hi [~josephkb], I've been working with to

[jira] [Commented] (SPARK-6931) python: struct.pack('!q', value) in write_long(value, stream) in serializers.py require int(but doesn't raise exceptions in common cases)

[ https://issues.apache.org/jira/browse/SPARK-6931?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14499162#comment-14499162 ] Bryan Cutler commented on SPARK-6931: - I just checked and it looks like some int()

[jira] [Commented] (SPARK-6980) Akka timeout exceptions indicate which conf controls them

[ https://issues.apache.org/jira/browse/SPARK-6980?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14500180#comment-14500180 ] Bryan Cutler commented on SPARK-6980: - I'll take this on if you don't mind. I've been

[jira] [Created] (SPARK-8444) Add Python example in streaming for queueStream usage

Bryan Cutler created SPARK-8444: --- Summary: Add Python example in streaming for queueStream usage Key: SPARK-8444 URL: https://issues.apache.org/jira/browse/SPARK-8444 Project: Spark Issue

[jira] [Commented] (SPARK-8400) ml.ALS doesn't handle -1 block size

[ https://issues.apache.org/jira/browse/SPARK-8400?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14592593#comment-14592593 ] Bryan Cutler commented on SPARK-8400: - Ok, sounds good. ml.ALS doesn't handle -1

[jira] [Commented] (SPARK-8400) ml.ALS doesn't handle -1 block size

[ https://issues.apache.org/jira/browse/SPARK-8400?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14589039#comment-14589039 ] Bryan Cutler commented on SPARK-8400: - I could do this. Just to clarify, if the user

[jira] [Commented] (SPARK-7127) Broadcast spark.ml tree ensemble models for predict

[ https://issues.apache.org/jira/browse/SPARK-7127?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14587081#comment-14587081 ] Bryan Cutler commented on SPARK-7127: - Hi [~josephkb], I added some commits that

[jira] [Commented] (SPARK-8400) ml.ALS doesn't handle -1 block size

[ https://issues.apache.org/jira/browse/SPARK-8400?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14707409#comment-14707409 ] Bryan Cutler commented on SPARK-8400: - No problem! It does LocalIndexEncoder once

[jira] [Commented] (SPARK-8400) ml.ALS doesn't handle -1 block size

[ https://issues.apache.org/jira/browse/SPARK-8400?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14625483#comment-14625483 ] Bryan Cutler commented on SPARK-8400: - Hi [~mengxr], just in case you missed my

[jira] [Commented] (SPARK-8924) Add @since tags to mllib.tree

[ https://issues.apache.org/jira/browse/SPARK-8924?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14625619#comment-14625619 ] Bryan Cutler commented on SPARK-8924: - I can knock this one out Add @since tags to

[jira] [Created] (SPARK-11287) Executing deploy.client TestClient fails with bad class name

Bryan Cutler created SPARK-11287: Summary: Executing deploy.client TestClient fails with bad class name Key: SPARK-11287 URL: https://issues.apache.org/jira/browse/SPARK-11287 Project: Spark

[jira] [Commented] (SPARK-10158) ALS should print better errors when given Long IDs

[ https://issues.apache.org/jira/browse/SPARK-10158?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14980920#comment-14980920 ] Bryan Cutler commented on SPARK-10158: -- I made a quick fix for this. When using Long values for

[jira] [Commented] (SPARK-11713) Initial RDD for updateStateByKey for pyspark

[ https://issues.apache.org/jira/browse/SPARK-11713?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15007004#comment-15007004 ] Bryan Cutler commented on SPARK-11713: -- I could work on this > Initial RDD for updateStateByKey for

[jira] [Commented] (SPARK-10158) ALS should print better errors when given Long IDs

[ https://issues.apache.org/jira/browse/SPARK-10158?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14983644#comment-14983644 ] Bryan Cutler commented on SPARK-10158: -- The only way I can see handling this from the PySpark side

[jira] [Comment Edited] (SPARK-10158) ALS should print better errors when given Long IDs

[ https://issues.apache.org/jira/browse/SPARK-10158?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14983644#comment-14983644 ] Bryan Cutler edited comment on SPARK-10158 at 10/31/15 7:05 AM: I think

[jira] [Commented] (SPARK-10086) Flaky StreamingKMeans test in PySpark

[ https://issues.apache.org/jira/browse/SPARK-10086?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14994615#comment-14994615 ] Bryan Cutler commented on SPARK-10086: -- I've been able to reproduce this locally, but haven't found

[jira] [Commented] (SPARK-4557) Spark Streaming' foreachRDD method should accept a VoidFunction<...>, not a Function<..., Void>

[ https://issues.apache.org/jira/browse/SPARK-4557?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14986101#comment-14986101 ] Bryan Cutler commented on SPARK-4557: - Hi [~somi...@us.ibm.com], the right way to make a pull request

[jira] [Updated] (SPARK-11219) Make Parameter Description Format Consistent in PySpark.MLlib

[ https://issues.apache.org/jira/browse/SPARK-11219?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Bryan Cutler updated SPARK-11219: - Description: There are several different formats for describing params in PySpark.MLlib, making

[jira] [Commented] (SPARK-11219) Make Parameter Description Format Consistent in PySpark.MLlib

[ https://issues.apache.org/jira/browse/SPARK-11219?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14994096#comment-14994096 ] Bryan Cutler commented on SPARK-11219: -- Good point about the default value placement [~josephkb],

[jira] [Updated] (SPARK-11219) Make Parameter Description Format Consistent in PySpark.MLlib

[ https://issues.apache.org/jira/browse/SPARK-11219?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Bryan Cutler updated SPARK-11219: - Description: There are several different formats for describing params in PySpark.MLlib, making

[jira] [Commented] (SPARK-10827) AppClient should not use `askWithReply` in `receiveAndReply` directly

[ https://issues.apache.org/jira/browse/SPARK-10827?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14965781#comment-14965781 ] Bryan Cutler commented on SPARK-10827: -- Hi [~zsxwing], I can work on this if you don't mind. >

[jira] [Created] (SPARK-11219) Make Parameter Description Format Consistent in PySpark.MLlib

Bryan Cutler created SPARK-11219: Summary: Make Parameter Description Format Consistent in PySpark.MLlib Key: SPARK-11219 URL: https://issues.apache.org/jira/browse/SPARK-11219 Project: Spark

[jira] [Created] (SPARK-10959) PySpark StreamingLogisticRegressionWithSGD does not train with given regParam and convergenceTol parameters

Bryan Cutler created SPARK-10959: Summary: PySpark StreamingLogisticRegressionWithSGD does not train with given regParam and convergenceTol parameters Key: SPARK-10959 URL:

[jira] [Commented] (SPARK-8919) Add @since tags to mllib.recommendation

[ https://issues.apache.org/jira/browse/SPARK-8919?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14620834#comment-14620834 ] Bryan Cutler commented on SPARK-8919: - I'll take this one [~mengxr], thanks! Add

[jira] [Commented] (SPARK-8400) ml.ALS doesn't handle -1 block size

[ https://issues.apache.org/jira/browse/SPARK-8400?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14617359#comment-14617359 ] Bryan Cutler commented on SPARK-8400: - Hi [~mengxr], yes I am. I'll hopefully have a

[jira] [Commented] (SPARK-6931) python: struct.pack('!q', value) in write_long(value, stream) in serializers.py require int(but doesn't raise exceptions in common cases)

[ https://issues.apache.org/jira/browse/SPARK-6931?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14729939#comment-14729939 ] Bryan Cutler commented on SPARK-6931: - I can backport the fix for this > python: struct.pack('!q',

[jira] [Commented] (SPARK-10560) Make StreamingLogisticRegressionWithSGD Python API equals with Scala one

[ https://issues.apache.org/jira/browse/SPARK-10560?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14939067#comment-14939067 ] Bryan Cutler commented on SPARK-10560: -- Hi [~yanboliang], I'd be happy to do this unless you have

[jira] [Commented] (SPARK-10560) Make StreamingLogisticRegressionWithSGD Python API equals with Scala one

[ https://issues.apache.org/jira/browse/SPARK-10560?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14940050#comment-14940050 ] Bryan Cutler commented on SPARK-10560: -- Great, thanks! I will work on this > Make

[jira] [Comment Edited] (SPARK-10560) Make StreamingLogisticRegressionWithSGD Python API equals with Scala one

[ https://issues.apache.org/jira/browse/SPARK-10560?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14944305#comment-14944305 ] Bryan Cutler edited comment on SPARK-10560 at 10/6/15 1:17 AM: --- Hi

[jira] [Commented] (SPARK-10560) Make StreamingLogisticRegressionWithSGD Python API equals with Scala one

[ https://issues.apache.org/jira/browse/SPARK-10560?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14944305#comment-14944305 ] Bryan Cutler commented on SPARK-10560: -- Hi [~yanboliang]], I just want to make sure I'm on the same

[jira] [Updated] (SPARK-11219) Make Parameter Description Format Consistent in PySpark.MLlib

[ https://issues.apache.org/jira/browse/SPARK-11219?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Bryan Cutler updated SPARK-11219: - Description: There are several different formats for describing params in PySpark.MLlib, making

[jira] [Commented] (SPARK-11219) Make Parameter Description Format Consistent in PySpark.MLlib

[ https://issues.apache.org/jira/browse/SPARK-11219?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15036470#comment-15036470 ] Bryan Cutler commented on SPARK-11219: -- I added an assessment of the current state of param

[jira] [Commented] (SPARK-11928) Master retry deadlock

[ https://issues.apache.org/jira/browse/SPARK-11928?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15034797#comment-15034797 ] Bryan Cutler commented on SPARK-11928: -- I was able to reproduce the {{RejectedExecutionException}},

[jira] [Commented] (SPARK-11928) Master retry deadlock

[ https://issues.apache.org/jira/browse/SPARK-11928?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15049078#comment-15049078 ] Bryan Cutler commented on SPARK-11928: -- I believe the {{RejectedExecutionException}} is no longer a

[jira] [Commented] (SPARK-11928) Master retry deadlock

[ https://issues.apache.org/jira/browse/SPARK-11928?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15049118#comment-15049118 ] Bryan Cutler commented on SPARK-11928: -- Confirmed, I no longer see that exception and the retry now

[jira] [Commented] (SPARK-12062) Master rebuilding historical SparkUI should be asynchronous

[ https://issues.apache.org/jira/browse/SPARK-12062?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15034395#comment-15034395 ] Bryan Cutler commented on SPARK-12062: -- Hi [~andrewor14], I'd like work on this > Master rebuilding

[jira] [Commented] (SPARK-12062) Master rebuilding historical SparkUI should be asynchronous

[ https://issues.apache.org/jira/browse/SPARK-12062?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15055205#comment-15055205 ] Bryan Cutler commented on SPARK-12062: -- I read the past conversations discussing this in the related

[jira] [Commented] (SPARK-12062) Master rebuilding historical SparkUI should be asynchronous

[ https://issues.apache.org/jira/browse/SPARK-12062?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15053963#comment-15053963 ] Bryan Cutler commented on SPARK-12062: -- Hi [~andrewor14], I have a PR ready for this, so was just

[jira] [Created] (SPARK-12633) Make Parameter Descriptions Consistent for PySpark MLlib Regression

Bryan Cutler created SPARK-12633: Summary: Make Parameter Descriptions Consistent for PySpark MLlib Regression Key: SPARK-12633 URL: https://issues.apache.org/jira/browse/SPARK-12633 Project: Spark

[jira] [Updated] (SPARK-12632) Make Parameter Descriptions Consistent for PySpark MLlib FPM and Recommendation

[ https://issues.apache.org/jira/browse/SPARK-12632?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Bryan Cutler updated SPARK-12632: - Remaining Estimate: 1h Original Estimate: 1h > Make Parameter Descriptions Consistent for

[jira] [Updated] (SPARK-12631) Make Parameter Descriptions Consistent for PySpark MLlib Clustering

[ https://issues.apache.org/jira/browse/SPARK-12631?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Bryan Cutler updated SPARK-12631: - Remaining Estimate: 1h Original Estimate: 1h > Make Parameter Descriptions Consistent for

[jira] [Updated] (SPARK-12634) Make Parameter Descriptions Consistent for PySpark MLlib Tree

[ https://issues.apache.org/jira/browse/SPARK-12634?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Bryan Cutler updated SPARK-12634: - Remaining Estimate: 1h Original Estimate: 1h > Make Parameter Descriptions Consistent for

[jira] [Updated] (SPARK-12633) Make Parameter Descriptions Consistent for PySpark MLlib Regression

[ https://issues.apache.org/jira/browse/SPARK-12633?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Bryan Cutler updated SPARK-12633: - Remaining Estimate: 1h Original Estimate: 1h > Make Parameter Descriptions Consistent for

[jira] [Commented] (SPARK-12631) Make Parameter Descriptions Consistent for PySpark MLlib Clustering

[ https://issues.apache.org/jira/browse/SPARK-12631?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15081902#comment-15081902 ] Bryan Cutler commented on SPARK-12631: -- I'll start on this one, so if anyone else wants to jump in

[jira] [Created] (SPARK-12631) Make Parameter Descriptions Consistent for PySpark MLlib Clustering

Bryan Cutler created SPARK-12631: Summary: Make Parameter Descriptions Consistent for PySpark MLlib Clustering Key: SPARK-12631 URL: https://issues.apache.org/jira/browse/SPARK-12631 Project: Spark

[jira] [Created] (SPARK-12634) Make Parameter Descriptions Consistent for PySpark MLlib Tree

Bryan Cutler created SPARK-12634: Summary: Make Parameter Descriptions Consistent for PySpark MLlib Tree Key: SPARK-12634 URL: https://issues.apache.org/jira/browse/SPARK-12634 Project: Spark

[jira] [Created] (SPARK-12632) Make Parameter Descriptions Consistent for PySpark MLlib FPM and Recommendation

Bryan Cutler created SPARK-12632: Summary: Make Parameter Descriptions Consistent for PySpark MLlib FPM and Recommendation Key: SPARK-12632 URL: https://issues.apache.org/jira/browse/SPARK-12632

[jira] [Commented] (SPARK-12701) Logging FileAppender should use join to ensure thread is finished

[ https://issues.apache.org/jira/browse/SPARK-12701?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15088429#comment-15088429 ] Bryan Cutler commented on SPARK-12701: -- I can submit a PR for this. > Logging FileAppender should

[jira] [Created] (SPARK-12701) Logging FileAppender should use join to ensure thread is finished

Bryan Cutler created SPARK-12701: Summary: Logging FileAppender should use join to ensure thread is finished Key: SPARK-12701 URL: https://issues.apache.org/jira/browse/SPARK-12701 Project: Spark

[jira] [Comment Edited] (SPARK-12701) Logging FileAppender should use join to ensure thread is finished

[ https://issues.apache.org/jira/browse/SPARK-12701?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15088429#comment-15088429 ] Bryan Cutler edited comment on SPARK-12701 at 1/8/16 12:07 AM: --- I can

[jira] [Updated] (SPARK-12701) Logging FileAppender should use join to ensure thread is finished

[ https://issues.apache.org/jira/browse/SPARK-12701?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Bryan Cutler updated SPARK-12701: - Issue Type: Improvement (was: Bug) > Logging FileAppender should use join to ensure thread is

[jira] [Commented] (SPARK-12632) Make Parameter Descriptions Consistent for PySpark MLlib FPM and Recommendation

[ https://issues.apache.org/jira/browse/SPARK-12632?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15084461#comment-15084461 ] Bryan Cutler commented on SPARK-12632: -- [~somi...@us.ibm.com] recommendation.py is missing the

[jira] [Created] (SPARK-12630) Make Parameter Descriptions Consistent for PySpark MLlib Classification

Bryan Cutler created SPARK-12630: Summary: Make Parameter Descriptions Consistent for PySpark MLlib Classification Key: SPARK-12630 URL: https://issues.apache.org/jira/browse/SPARK-12630 Project:

[jira] [Commented] (SPARK-9844) File appender race condition during SparkWorker shutdown

[ https://issues.apache.org/jira/browse/SPARK-9844?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15086202#comment-15086202 ] Bryan Cutler commented on SPARK-9844: - I came across this error recently too as of 1.6.0 and have been

[jira] [Commented] (SPARK-11219) Make Parameter Description Format Consistent in PySpark.MLlib

[ https://issues.apache.org/jira/browse/SPARK-11219?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15090292#comment-15090292 ] Bryan Cutler commented on SPARK-11219: -- That's my fault [~josephkb], I was instructing to go up to

[jira] [Created] (SPARK-15738) PySpark ml.feature RFormula missing string representation displaying formula

Bryan Cutler created SPARK-15738: Summary: PySpark ml.feature RFormula missing string representation displaying formula Key: SPARK-15738 URL: https://issues.apache.org/jira/browse/SPARK-15738

[jira] [Commented] (SPARK-15009) PySpark CountVectorizerModel should be able to construct from vocabulary list

[ https://issues.apache.org/jira/browse/SPARK-15009?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15313030#comment-15313030 ] Bryan Cutler commented on SPARK-15009: -- note - also similar constructor for StringIndexerModel >

[jira] [Commented] (SPARK-15741) PySpark Cleanup of _setDefault with seed=None

[ https://issues.apache.org/jira/browse/SPARK-15741?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15313376#comment-15313376 ] Bryan Cutler commented on SPARK-15741: -- >From what I gathered, explicitly setting a seed to {{None}}

[jira] [Created] (SPARK-15741) PySpark Cleanup of _setDefault with seed=None

Bryan Cutler created SPARK-15741: Summary: PySpark Cleanup of _setDefault with seed=None Key: SPARK-15741 URL: https://issues.apache.org/jira/browse/SPARK-15741 Project: Spark Issue Type:

[jira] [Commented] (SPARK-15623) 2.0 python coverage ml.feature

[ https://issues.apache.org/jira/browse/SPARK-15623?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15313226#comment-15313226 ] Bryan Cutler commented on SPARK-15623: -- I took another spin through this and linked a couple of

[jira] [Updated] (SPARK-15741) PySpark Cleanup of _setDefault with seed=None

[ https://issues.apache.org/jira/browse/SPARK-15741?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Bryan Cutler updated SPARK-15741: - Issue Type: Improvement (was: Sub-task) Parent: (was: SPARK-14771) > PySpark

[jira] [Closed] (SPARK-15741) PySpark Cleanup of _setDefault with seed=None

[ https://issues.apache.org/jira/browse/SPARK-15741?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Bryan Cutler closed SPARK-15741. Resolution: Invalid Looks like I jumped the gun here, None values are not ignored and seems like

[jira] [Commented] (SPARK-15861) pyspark mapPartitions with none generator functions / functors

[ https://issues.apache.org/jira/browse/SPARK-15861?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15331975#comment-15331975 ] Bryan Cutler commented on SPARK-15861: -- If you change your function to this {noformat} def

[jira] [Commented] (SPARK-15861) pyspark mapPartitions with none generator functions / functors

[ https://issues.apache.org/jira/browse/SPARK-15861?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15328417#comment-15328417 ] Bryan Cutler commented on SPARK-15861: -- {{mapPartitions}} will expect the function to return a

[jira] [Commented] (SPARK-15861) pyspark mapPartitions with none generator functions / functors

[ https://issues.apache.org/jira/browse/SPARK-15861?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15328245#comment-15328245 ] Bryan Cutler commented on SPARK-15861: -- [~gbow...@fastmail.co.uk] {{mapPartitions}} expects a

[jira] [Comment Edited] (SPARK-15861) pyspark mapPartitions with none generator functions / functors

[ https://issues.apache.org/jira/browse/SPARK-15861?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15328245#comment-15328245 ] Bryan Cutler edited comment on SPARK-15861 at 6/13/16 9:05 PM: ---

[jira] [Updated] (SPARK-15623) 2.0 python coverage ml.feature

[ https://issues.apache.org/jira/browse/SPARK-15623?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Bryan Cutler updated SPARK-15623: - Summary: 2.0 python coverage ml.feature (was: 2.0 python converage ml.feature) > 2.0 python

[jira] [Commented] (SPARK-12666) spark-shell --packages cannot load artifacts which are publishLocal'd by SBT

[ https://issues.apache.org/jira/browse/SPARK-12666?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15308950#comment-15308950 ] Bryan Cutler commented on SPARK-12666: -- This seems like it is more of an issue with SBT

[jira] [Comment Edited] (SPARK-15623) 2.0 python coverage ml.feature

[ https://issues.apache.org/jira/browse/SPARK-15623?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15304898#comment-15304898 ] Bryan Cutler edited comment on SPARK-15623 at 5/27/16 10:11 PM: I was

[jira] [Commented] (SPARK-15623) 2.0 python coverage ml.feature

[ https://issues.apache.org/jira/browse/SPARK-15623?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15304898#comment-15304898 ] Bryan Cutler commented on SPARK-15623: -- I was only able to quickly go though the user guide and api

[jira] [Updated] (SPARK-15741) PySpark Cleanup of _setDefault with seed=None

[ https://issues.apache.org/jira/browse/SPARK-15741?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Bryan Cutler updated SPARK-15741: - Description: Several places in PySpark ML have Params._setDefault with a seed param equal to

[jira] [Reopened] (SPARK-15741) PySpark Cleanup of _setDefault with seed=None

[ https://issues.apache.org/jira/browse/SPARK-15741?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Bryan Cutler reopened SPARK-15741: -- Reopened as I feel this still should be cleaned up. > PySpark Cleanup of _setDefault with

[jira] [Created] (SPARK-16079) PySpark ML classification missing import of DecisionTreeRegressionModel for GBTClassificationModel

Bryan Cutler created SPARK-16079: Summary: PySpark ML classification missing import of DecisionTreeRegressionModel for GBTClassificationModel Key: SPARK-16079 URL:

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