Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/4580#discussion_r29816039
--- Diff: docs/mllib-feature-extraction.md ---
@@ -477,3 +477,76 @@ sc.stop();
</div>
</div>
+## ElementwiseProduct
+
+ElementwiseProduct multiplies individual vector samples by a provided
weighting vector component-wise. 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.
--- End diff --
```multiplies individual vector samples by a provided weighting vector
component-wise```
--> ```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.```
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
