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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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