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authorYuchen Pei <me@ypei.me>2018-12-02 22:17:29 +0100
committerYuchen Pei <me@ypei.me>2018-12-02 22:17:29 +0100
commit52fbfc6b9bf7aae292466e2e7b67d3d419da59dd (patch)
tree5241441df3b18ce27c5558c4b4dcde1f308cdaf8 /posts
parentc6da915fe94b57390eb746f9708df9c6ea058094 (diff)
minor change
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-rw-r--r--posts/2018-12-02-lime-shapley.md4
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diff --git a/posts/2018-12-02-lime-shapley.md b/posts/2018-12-02-lime-shapley.md
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@@ -76,8 +76,8 @@ feature contributions of supervised learning models locally.
Let $f: X_1 \times X_2 \times ... \times X_n \to \mathbb R$ be a
function. We can think of $f$ as a model, where $X_j$ is the space of
-$j$th feature. For example, in a language model, $X_j$ may be the count
-of the $j$th word in the vocabulary.
+$j$th feature. For example, in a language model, $X_j$ may correspond to
+the count of the $j$th word in the vocabulary.
The output may be something like housing price, or log-probability of
something.