Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15913#discussion_r89369140
--- Diff: mllib/src/main/scala/org/apache/spark/ml/tree/treeParams.scala ---
@@ -317,8 +317,28 @@ private[ml] trait TreeEnsembleParams extends
DecisionTreeParams {
}
}
-/** Used for [[RandomForestParams]] */
-private[ml] trait HasFeatureSubsetStrategy extends Params {
+/**
+ * Parameters for Random Forest algorithms.
+ */
+private[ml] trait RandomForestParams extends TreeEnsembleParams {
+
+ /**
+ * Number of trees to train (>= 1).
+ * If 1, then no bootstrapping is used. If > 1, then bootstrapping is
done.
+ * TODO: Change to always do bootstrapping (simpler). SPARK-7130
+ * (default = 20)
+ * @group param
+ */
+ final val numTrees: IntParam = new IntParam(this, "numTrees", "Number of
trees to train (>= 1)",
--- End diff --
Note: the reason that we cannot add this to both GBT and RF (i.e. in
`TreeEnsembleParams`) is because the param `maxIter` controls how many trees a
GBT has. The semantics in the algos are a bit different.
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