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authorYuchen Pei <me@ypei.me>2018-12-03 10:17:00 +0100
committerYuchen Pei <me@ypei.me>2018-12-03 10:17:00 +0100
commit73fd6e6aafdb1b34e9a7349dca136f3ce3969ed4 (patch)
treece0c5999d55f5590715f89bf508ddccdee0c20c1
parent4b72dd514e0f57cd256c0f74832ccb975dc782e6 (diff)
minor
-rw-r--r--posts/2018-12-02-lime-shapley.md4
1 files changed, 2 insertions, 2 deletions
diff --git a/posts/2018-12-02-lime-shapley.md b/posts/2018-12-02-lime-shapley.md
index 233de19..152036b 100644
--- a/posts/2018-12-02-lime-shapley.md
+++ b/posts/2018-12-02-lime-shapley.md
@@ -268,7 +268,7 @@ becomes
$$v(S) = \mathbb E_{z_{N \setminus S} \sim \mu_{N \setminus S}} f(x_S, z_{N \setminus S}) \qquad (8)$$
-For example, Strumbelj-Kononenko (2010) considers this where $\mu$ is
+For example, Strumbelj-Kononenko (2010) considers this scenario where $\mu$ is
the uniform distribution over $X$, see Definition 4 there.
A further simplification is model linearity, which means $f$ is linear.
@@ -300,7 +300,7 @@ Evaluating SHAP
---------------
The quest of the SHAP paper can be decoupled into two independent components:
-the niceties of Shapley values and the choice of the coalitional game $v$.
+showing the niceties of Shapley values and choosing the coalitional game $v$.
The SHAP paper argues that Shapley values $\phi_i(v)$ are a good measurement because they
are the only values satisfying the some nice properties including the Efficiency