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https://issues.apache.org/jira/browse/SPARK-11920?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley resolved SPARK-11920.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 9905
[https://github.com/apache/spark/pull/9905]
> ML LinearRegression should use correct dataset in examples and user guide doc
> -----------------------------------------------------------------------------
>
> Key: SPARK-11920
> URL: https://issues.apache.org/jira/browse/SPARK-11920
> Project: Spark
> Issue Type: Improvement
> Components: Documentation, ML
> Reporter: Yanbo Liang
> Assignee: Yanbo Liang
> Priority: Minor
> Fix For: 1.6.0
>
>
> ML LinearRegression use data/mllib/sample_libsvm_data.txt as dataset in
> examples and user guide doc, but it's actually classification dataset rather
> than regression dataset. We should use
> data/mllib/sample_linear_regression_data.txt instead.
> The deeper causes is that LinearRegression with "normal" solver can not solve
> this dataset correctly, may be due to the ill condition and unreasonable
> label. This issue has been reported at SPARK-11918.
> It will confuse users if they run the example code but get exception, so we
> should make this change which can clearly illustrate the usage of
> LinearRegression algorithm.
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