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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/11/13 11:24:11 UTC
[jira] [Commented] (SPARK-11723) Use LibSVM data source rather than
MLUtils.loadLibSVMFile to load DataFrame
[ https://issues.apache.org/jira/browse/SPARK-11723?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15003822#comment-15003822 ]
Apache Spark commented on SPARK-11723:
--------------------------------------
User 'yanboliang' has created a pull request for this issue:
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
>
> 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)
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