[
https://issues.apache.org/jira/browse/SPARK-16465?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15369967#comment-15369967
]
Roberto Pagliari commented on SPARK-16465:
------------------------------------------
yes, but it would be nice to do something like this:
val model = ALS.trainImplicit(ratings = ratingsRDD,
rank = 50,
iterations = 15,
lambda = 0.01,
alpha = 0.02,
nonnegative = True)
as per tutorial. However, this is currently not possible.
> Add nonnegative flag to mllib ALS
> ---------------------------------
>
> Key: SPARK-16465
> URL: https://issues.apache.org/jira/browse/SPARK-16465
> Project: Spark
> Issue Type: New Feature
> Reporter: Roberto Pagliari
> Priority: Minor
>
> Currently, this flag is available in ml, not in mllib
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
