[
https://issues.apache.org/jira/browse/SPARK-1945?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14046599#comment-14046599
]
Michael Yannakopoulos commented on SPARK-1945:
----------------------------------------------
Hi guys,
At the MLlib documentation page that describes logistic regression:
[http://spark.apache.org/docs/latest/mllib-linear-methods.html#linear-support-vector-machine-svm]
shouldn't be the case that simgoid(z) = 1 / ( 1 + e^{-z} ), instead of logit(z)
= 1 / ( 1 + e^{-z} ) ?
I believe that logit function is the inverse of sigmoid as stated in Logistic
regression page from Wiki:
[http://en.wikipedia.org/wiki/Logistic_regression]
Also, is there a way to write mathematic formulas in my comments (i.e. is LaTex
markup supported in JIRA)?
Thanks
> Add full Java examples in MLlib docs
> ------------------------------------
>
> Key: SPARK-1945
> URL: https://issues.apache.org/jira/browse/SPARK-1945
> Project: Spark
> Issue Type: Sub-task
> Components: Documentation, MLlib
> Reporter: Matei Zaharia
> Labels: Starter
> Fix For: 1.0.0
>
>
> Right now some of the Java tabs only say the following:
> "All of MLlib’s methods use Java-friendly types, so you can import and call
> them there the same way you do in Scala. The only caveat is that the methods
> take Scala RDD objects, while the Spark Java API uses a separate JavaRDD
> class. You can convert a Java RDD to a Scala one by calling .rdd() on your
> JavaRDD object."
> Would be nice to translate the Scala code into Java instead.
> Also, a few pages (most notably the Matrix one) don't have Java examples at
> all.
--
This message was sent by Atlassian JIRA
(v6.2#6252)
