Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/11989#discussion_r58593340
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/RandomForest.scala ---
@@ -55,10 +55,16 @@ import org.apache.spark.util.Utils
* @param numTrees If 1, then no bootstrapping is used. If > 1, then
bootstrapping is done.
* @param featureSubsetStrategy Number of features to consider for splits
at each node.
* Supported values: "auto", "all", "sqrt",
"log2", "onethird".
+ * Supported numerical values: "(0.0-1.0]",
"[1-n]".
* If "auto" is set, this parameter is set
based on numTrees:
* if numTrees == 1, set to "all";
* if numTrees > 1 (forest) set to "sqrt"
for classification and
* to "onethird" for regression.
+ * If a real value "(0.0-1.0]" is set, this
parameter specifies
--- End diff --
similarly here, we can say something like
```
If a real value "n" in the range (0, 1.0] is set, this ...
If an integer value "n" in the range (1, num features) is set, this ...
```
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