Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/12498#discussion_r60715598
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/HashingTF.scala
---
@@ -31,6 +31,12 @@ import org.apache.spark.sql.types.{ArrayType, StructType}
/**
* :: Experimental ::
* Maps a sequence of terms to their term frequencies using the hashing
trick.
+ * Current we support two hash algorithms: "murmur3"(default) and "native".
+ * "murmur3" calculates a hash code value for the term object using
+ * Austin Appleby's MurmurHash 3 algorithm (MurmurHash3_x86_32);
+ * "native" calculates the hash code value using the native Scala
implementation.
+ * In Spark 1.6 and earlier, "native" is the default hash algorithm;
+ * after Spark 2.0, we use "murmur3" as the default one.
--- End diff --
We must ensure to list this under the breaking changes of the 2.0
documentation
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