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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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Yanbo Liang updated SPARK-11920:
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Description:
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.
was:
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.
So we should make this change in examples and user guides, that can clearly
illustrate the usage of LinearRegression algorithm.
> 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
> Priority: Minor
>
> 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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