Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/6737#discussion_r32102589
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/KMeans.scala ---
@@ -156,6 +156,26 @@ class KMeans private (
this
}
+ // Initial cluster centers can be provided as a KMeansModel object
rather than using the
+ // random or k-means|| initializationMode
+ private var initialModel: Option[KMeansModel] = None
+
+ /** Set the initial starting point, bypassing the random initialization
or k-means||
+ * The condition (model.k == this.k) must be met; failure will result
in an
+ * IllegalArgumentException.
+ */
+ def setInitialModel(model: KMeansModel): this.type = {
+ if (model.k == k) {
+ initialModel = Some(model)
+ } else {
+ throw new IllegalArgumentException("mismatched cluster count
(model.k != k)")
+ }
+ this
+ }
+
+ /** Return the user supplied initial KMeansModel, if supplied */
+ def getInitialModel: Option[KMeansModel] = initialModel
--- End diff --
Does this need to be exposed back to the caller? might be better to not
promise this API
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