Merge pull request #15 from trustyai-explainability/ruivieira-patch-1

Update data-drift-monitoring.adoc

docs/modules/ROOT/pages/data-drift-monitoring.adoc

@@ -124,7 +124,7 @@ As you can see, the models does not provide particularly useful field names for
 [source,shell]
 ----
 curl -sk -H 'Authorization: Bearer ${TOKEN}' \
-  -X POST --location https://trustyai-service-opendatahub-model.apps.trustyai.dzzt.p1.openshiftapps.com/info/names \
+  -X POST --location $TRUSTY_ROUTE/info/names \
   -H "Content-Type: application/json"   \
   -d "{
     \"modelId\": \"gaussian-credit-model\",
@@ -221,4 +221,4 @@ It is crucially important to monitor data drift, as ensuring that the training a
 it does not matter if your models are impeccable over the training data: it is only when they are 
 deployed to real users that these models provide any meaningful value, and it is only during
 this deployment that their performance actually _matters_, where these models might begin to affect your user's lives and livelihoods. Using TrustyAI to monitor the data drift can help you trust that your
-models are operating in familiar territory and that they can accurately apply all the intuitions they learned during training. 
+models are operating in familiar territory and that they can accurately apply all the intuitions they learned during training.