Github user yinxusen commented on the pull request:
https://github.com/apache/spark/pull/9725#issuecomment-157945788
IMHO, it's OK to hard-code input path for the code, since it is an example
code. Users who want to learn Spark and know how to use can run the code
directly without more configurations. They can also know the input format from
the hard coded file. If they want to use Logistic Regression, they need to
write their own applications to meet their needs. In addition to that, all
examples in ml and mllib are hard coded inputs and iterations. It's a huge
amount of work to change all example codes.
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