Updated latex in README

README.md

@@ -7,19 +7,19 @@ $$
 x^* = \text{argmax} \left( 1-P(\hat{y}|x) \right),
 $$
 
-where $\hat{y} = \operatorname{argmax} P(y_i|x)$
+where $\hat{y} = \text{argmax} P(y_i|x)$
 
 ## Margin
 
 $$
-x^* = \operatorname{argmax} \left( P(\hat{y}_1|x) - P(\hat{y}_2|x) \right),
+x^* = \text{argmax} \left( P(\hat{y}_1|x) - P(\hat{y}_2|x) \right),
 $$
 
 where $\hat{y}_1$ and $\hat{y}_2$ are the first and second most probable class labels under the model, respectively.
 
 ## Entropy
 $$ 
-x^* = \operatorname{argmax} \left( - \sum P(y_i|x)\operatorname{log} P(y_i|x) \right)
+x^* = \text{argmax} \left( - \sum P(y_i|x)\text{log} P(y_i|x) \right)
 $$
 
 # Example Code