pytorch · diegoolano · Oct 6, 2022 · Oct 13, 2022 · Oct 17, 2022
diff --git a/tutorials/House_Prices_Regression_Interpret.ipynb b/tutorials/House_Prices_Regression_Interpret.ipynb
diff --git a/tutorials/models/boston_model.pt b/tutorials/models/boston_model.pt
diff --git a/tutorials/models/california_model.pt b/tutorials/models/california_model.pt
diff --git a/website/pages/tutorials/index.js b/website/pages/tutorials/index.js
@@ -98,8 +98,8 @@ class TutorialHome extends React.Component {
                 are more meaningful compared to the vector norms.
                 Find the tutorial <a href="Bert_SQUAD_Interpret2">here</a>.
 
-                <h4>Interpreting a regression model of Boston house prices:</h4>
-                To demonstrate interpreting regression models we have chosen to look at the Boston house prices dataset.
+                <h4>Interpreting a regression model of California house prices:</h4>
+                To demonstrate interpreting regression models we have chosen to look at the California house prices dataset.
                 Using Captum and a variety of attribution methods, we evaluate feature importance as well as internal attribution to understand
                 the network function. Find the tutorial <a href="House_Prices_Regression_Interpret">here</a>.
 

diff --git a/website/tutorials.json b/website/tutorials.json
@@ -28,7 +28,7 @@
     },
     {
       "id": "House_Prices_Regression_Interpret",
-      "title": "Interpreting a regression model of Boston house prices"
+      "title": "Interpreting a regression model of California house prices"
     },
     {
       "id": "Segmentation_Interpret",