[ https://issues.apache.org/jira/browse/SPARK-11723?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng resolved SPARK-11723. ----------------------------------- Resolution: Fixed Fix Version/s: 1.6.0 Issue resolved by pull request 9690 [https://github.com/apache/spark/pull/9690] > Use LibSVM data source rather than MLUtils.loadLibSVMFile to load DataFrame > --------------------------------------------------------------------------- > > Key: SPARK-11723 > URL: https://issues.apache.org/jira/browse/SPARK-11723 > Project: Spark > Issue Type: Improvement > Components: Documentation, Examples, ML > Reporter: Yanbo Liang > Priority: Minor > Fix For: 1.6.0 > > > We prefer to use sqlContext.read.format("libsvm").load(...) rather than > MLUtils.loadLibSVMFile(...) to load the data stored in LIBSVM format as a > DataFrame, so make this change for all example codes under examples/ml and > user guides example code. (only for ml not mllib) -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org