Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/20928#discussion_r179038732
--- Diff: docs/mllib-feature-extraction.md ---
@@ -105,7 +105,7 @@ p(w_i | w_j ) =
\frac{\exp(u_{w_i}^{\top}v_{w_j})}{\sum_{l=1}^{V} \exp(u_l^{\top
\]`
where $V$ is the vocabulary size.
-The skip-gram model with softmax is expensive because the cost of
computing $\log p(w_i | w_j)$
+The skip-gram model with softmax is expensive because of the cost of
computing $\log p(w_i | w_j)$
--- End diff --
seems a mistake.
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