Update examples/plot_msage.py

Co-authored-by: Marc Hulcelle <marc.hulcelle@inria.fr>

Author: jpaillard

examples/plot_msage.py

@@ -3,7 +3,7 @@
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 In this example, we demonstrate how to use measure feature importance using
-SAGE :footcite:t:`Covert2020 on the diabetes dataset. For this example, we use
+SAGE :footcite:t:`Covert2020` on the diabetes dataset. For this example, we use
 the marginal version of SAGE, which limits the computational cost. To further
 reduce the computational cost, Shapley values are estimated using a Monte Carlo
 approximation. Only a subset of all possible feature coalitions is sampled.