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Posted to issues@spark.apache.org by "Yanbo Liang (JIRA)" <ji...@apache.org> on 2015/11/13 11:20:11 UTC

[jira] [Updated] (SPARK-11723) Use LibSVM data source rather than to load DataFrame

     [ https://issues.apache.org/jira/browse/SPARK-11723?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yanbo Liang updated SPARK-11723:
--------------------------------
    Summary: Use LibSVM data source rather than  to load DataFrame  (was: Use sqlContext.read.format("libsvm").load(***) to load DataFrame)

> Use LibSVM data source rather than  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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