Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/12896#discussion_r62165258
--- 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 --
How about "coldStartStrategy"? For people familiar with recommendations
"cold start" is clear in meaning. But it may be less clear for people less
familiar.
@srowen what do you think?
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