Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/12896#discussion_r62070510
--- Diff: mllib/src/main/scala/org/apache/spark/ml/recommendation/ALS.scala
---
@@ -71,6 +71,22 @@ private[recommendation] trait ALSModelParams extends
Params with HasPredictionCo
/** @group getParam */
def getItemCol: String = $(itemCol)
+
+ /**
+ * Param for strategy for dealing with unknown users or items at
prediction time.
+ * Supported values:
+ * - "nan": prediction value for unknown ids will be NaN.
+ * - "drop": rows in the input DataFrame containing unknown ids will be
dropped.
+ * Default: "nan".
+ * @group expertParam
+ */
+ val unknownStrategy = new Param[String](this, "unknownStrategy",
--- End diff --
I personally don't see much difference between "new" and "unknown". Will
think about it some more
On Wed, 4 May 2016 at 18:08, Seth Hendrickson <[email protected]>
wrote:
> In mllib/src/main/scala/org/apache/spark/ml/recommendation/ALS.scala
> <https://github.com/apache/spark/pull/12896#discussion_r62067123>:
>
> > @@ -71,6 +71,22 @@ private[recommendation] trait ALSModelParams extends
Params with HasPredictionCo
> >
> > /** @group getParam */
> > def getItemCol: String = $(itemCol)
> > +
> > + /**
> > + * Param for strategy for dealing with unknown users or items at
prediction time.
> > + * Supported values:
> > + * - "nan": prediction value for unknown ids will be NaN.
> > + * - "drop": rows in the input DataFrame containing unknown ids will
be dropped.
> > + * Default: "nan".
> > + * @group expertParam
> > + */
> > + val unknownStrategy = new Param[String](this, "unknownStrategy",
>
> Thinking about it more, using "unknown" just seems confusing.
> "newIdPredictionStrategy" ? I don't have a great idea for it.
>
> â
> You are receiving this because you authored the thread.
> Reply to this email directly or view it on GitHub
>
<https://github.com/apache/spark/pull/12896/files/fc437451a598221f0878b7a2e0b87d17572019cc#r62067123>
>
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