Github user felixcheung commented on the issue:
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merged, thanks!
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hi @felixcheung anything else I should do here?
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I did test locally this time, thanks Felix
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btw, this has info on document generation so you could test this out
locally:
https://github.com/apache/spark/blob/master/R/DOCUMENTATION.md
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Github user shivaram commented on the issue:
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@keypointt The error is happening because of the `href` line in the
`spark.mlp` documentation. If you move the opening brace to the previous line
the error goes away. i.e. the code should look
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hi @felixcheung , I'm not sure what does this mean and how to get rid of it?
```
* checking CRAN incoming feasibility ...Warning: bad markup (extra space?)
at spark.mlp.Rd:68:77
NOTE
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@param ... Should be in mllib.R
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Please see the changes I have listed above for details - you will see that
they are either removed or moved to mllib.R
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hi @felixcheung, after I merge master in, I found that `spark.kmeans`,
`spark.naiveBayes`, `spark.survreg`, `spark.isoreg` don't have the `#' @param
... Additional parameters ...
`.
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sure, will rebase
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Hi there - sorry about the delay. Could you please rebase to master and
check out the refactoring
[here](https://github.com/apache/spark/commit/0583ecda1b63a7e3f126c3276059e4f99548a741)
and
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@felixcheung sure, no problem
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we are looking at establishing some guidelines in PR 14705. Let's hold on
for another day or 2.
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hi @felixcheung I got below lint-r error when running it on my laptop,
after merging with master
```
Warning message:
In readLines(filename) :
incomplete final line found on
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@keypointt could you please rebase this to master? Only 2 more comments.
cc @mengxr
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Yep, this looks good @felixcheung -- Feel free to merge once you think its
good to go.
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These are the last few comments. @shivaram what do you think - with those
fixed we are good to merge this?
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so there are a few competing implementation in R and `mlp` might not be a
super relevant name. @shivaram @mengxr any thought on `spark.mlp` here?
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Github user keypointt commented on the issue:
https://github.com/apache/spark/pull/14447
Actually I've already tried to change the classes to be public, and open
them to not only `[r]` but every module which still does not work.
And exactly, above comment msg is the only
Github user yanboliang commented on the issue:
https://github.com/apache/spark/pull/14447
Actually I don't have an excellent debug way for SparkR wrappers. Usually
you can create a ```RWrapperSuite``` and test whether it works well in the
Scala side (If you encounter some issues
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