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docs/examples/example_basic.ipynb

@@ -213,7 +213,7 @@
     "where we choose a classifier class to serve as a blueprint for our\n",
     "eventual propensity model. It is important to notice that although we consider the propensity\n",
     "model a nuisance model, the initialization parameters for it are separated from the other\n",
-    "nuisance parameters to allow a more understandable user interface.\n",
+    "nuisance parameters to allow a more understandable user interface, see the next code prompt.\n",
     "\n",
     "In the {class}`~metalearners.RLearner` case, the ``nuisance_model_factory`` parameter will\n",
     "be used to create the outcome model, the ``propensity_model_factory`` will be used for the\n",