Trustscore MNIST example

doc/source/examples/trustscore_mnist.nblink

@@ -0,0 +1,3 @@
+{
+  "path": "../../../examples/trustscore_mnist.ipynb"
+}

doc/source/index.rst

@@ -3,7 +3,7 @@
    You can adapt this file completely to your liking, but it should at least
    contain the root `toctree` directive.
 
-.. mdinclude:: landing.md 
+.. mdinclude:: landing.md
 
 .. toctree::
   :maxdepth: 1
@@ -39,6 +39,7 @@
    examples/cem_mnist
    examples/cem_iris
    examples/trustscore_iris
+   examples/trustscore_mnist
 
 .. toctree::
    :maxdepth: 1

doc/source/methods/TrustScores.ipynb

@@ -33,7 +33,7 @@
     "\n",
     "Trust scores can for instance be used as a warning flag for machine learning predictions. If the score drops below a certain value and there is disagreement between the model probabilities and the trust score, the prediction can be explained using techniques like anchors or contrastive explanations.\n",
     "\n",
-    "Trust scores work best for low to medium dimensional feature spaces. When working with high dimensional observations like images, dimensionality reduction methods (e.g. auto-encoders or PCA) could be applied as a pre-processing step before computing the scores."
+    "Trust scores work best for low to medium dimensional feature spaces. When working with high dimensional observations like images, dimensionality reduction methods (e.g. auto-encoders or PCA) could be applied as a pre-processing step before computing the scores. This is demonstrated by the following example [notebook](../examples/trustscore_mnist.nblink)."
    ]
   },
   {
@@ -126,7 +126,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "[Trust Scores applied to Iris](../examples/trustscore_iris.nblink)"
+    "[Trust Scores applied to Iris](../examples/trustscore_iris.nblink)\n",
+    "\n",
+    "[Trust Scores applied to MNIST](../examples/trustscore_mnist.nblink)"
    ]
   }
  ],