Github user feynmanliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/8752#discussion_r39461756
--- Diff: docs/mllib-feature-extraction.md ---
@@ -486,7 +492,8 @@ sc.stop();
## ElementwiseProduct
-ElementwiseProduct multiplies each input vector by a provided "weight"
vector, using element-wise multiplication. In other words, it scales each
column of the dataset by a scalar multiplier. This represents the [Hadamard
product](https://en.wikipedia.org/wiki/Hadamard_product_%28matrices%29) between
the input vector, `v` and transforming vector, `w`, to yield a result vector.
+ElementwiseProduct multiplies each input vector by a provided "weight"
vector, using element-wise multiplication. In other words, it scales each
column of the dataset by a scalar multiplier. This represents the [Hadamard
product](https://en.wikipedia.org/wiki/Hadamard_product_%28matrices%29) between
the input vector, `v` and transforming vector, `scalingVec`, to yield a result
vector.
--- End diff --
100cw
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