[jira] [Commented] (SPARK-18527) UDAFPercentile (bigint, array) needs explicity cast to double

[ https://issues.apache.org/jira/browse/SPARK-18527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15704934#comment-15704934 ] Fabian Boehnlein commented on SPARK-18527: -- Thanks [~hvanhovell]. Will be intere

[jira] [Commented] (SPARK-18527) UDAFPercentile (bigint, array) needs explicity cast to double

[ https://issues.apache.org/jira/browse/SPARK-18527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15701661#comment-15701661 ] Fabian Boehnlein commented on SPARK-18527: -- Interesting [~hvanhovell], good to s

[jira] [Created] (SPARK-18527) UDAFPercentile (bigint, array) needs explicity cast to double

Fabian Boehnlein created SPARK-18527: Summary: UDAFPercentile (bigint, array) needs explicity cast to double Key: SPARK-18527 URL: https://issues.apache.org/jira/browse/SPARK-18527 Project: Spark

[jira] [Commented] (SPARK-16228) "Percentile" needs explicit cast to double

[ https://issues.apache.org/jira/browse/SPARK-16228?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15673869#comment-15673869 ] Fabian Boehnlein commented on SPARK-16228: -- Shouldn't this also have resolved th

[jira] [Comment Edited] (SPARK-10872) Derby error (XSDB6) when creating new HiveContext after restarting SparkContext

[ https://issues.apache.org/jira/browse/SPARK-10872?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15424335#comment-15424335 ] Fabian Boehnlein edited comment on SPARK-10872 at 8/17/16 11:51 AM: ---

[jira] [Commented] (SPARK-10872) Derby error (XSDB6) when creating new HiveContext after restarting SparkContext

[ https://issues.apache.org/jira/browse/SPARK-10872?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15424335#comment-15424335 ] Fabian Boehnlein commented on SPARK-10872: -- Seeing that exception on 1.6.* and 2

[jira] [Commented] (SPARK-12981) Dataframe distinct() followed by a filter(udf) in pyspark throws a casting error

[ https://issues.apache.org/jira/browse/SPARK-12981?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15197759#comment-15197759 ] Fabian Boehnlein commented on SPARK-12981: -- Seems similar to what I'm hitting wh

[jira] [Commented] (SPARK-9478) Add class weights to Random Forest

[ https://issues.apache.org/jira/browse/SPARK-9478?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15130323#comment-15130323 ] Fabian Boehnlein commented on SPARK-9478: - Thanks, [~meihuawu] woudl be very usefu

[jira] [Commented] (SPARK-4156) Add expectation maximization for Gaussian mixture models to MLLib clustering

[ https://issues.apache.org/jira/browse/SPARK-4156?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14651862#comment-14651862 ] Fabian Boehnlein commented on SPARK-4156: - is there a reason that a {code}predict(

[jira] [Commented] (SPARK-6573) Convert inbound NaN values as null

[ https://issues.apache.org/jira/browse/SPARK-6573?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14630989#comment-14630989 ] Fabian Boehnlein commented on SPARK-6573: - great ideas, thanks for the work and do

[jira] [Commented] (SPARK-6573) expect pandas null values as numpy.nan (not only as None)

[ https://issues.apache.org/jira/browse/SPARK-6573?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14388204#comment-14388204 ] Fabian Boehnlein commented on SPARK-6573: - I don't understand. numpy.nan values wo

[jira] [Updated] (SPARK-6573) expect pandas null values as numpy.nan (not only as None)

[ https://issues.apache.org/jira/browse/SPARK-6573?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Fabian Boehnlein updated SPARK-6573: Issue Type: Sub-task (was: Improvement) Parent: SPARK-6116 > expect pandas null val

[jira] [Created] (SPARK-6573) expect pandas null values as numpy.nan (not only as None)

Fabian Boehnlein created SPARK-6573: --- Summary: expect pandas null values as numpy.nan (not only as None) Key: SPARK-6573 URL: https://issues.apache.org/jira/browse/SPARK-6573 Project: Spark