fixed url

Author: ipbabble

modules/mfd-using-mfd-pattern.adoc

@@ -55,7 +55,11 @@ After the project has been created, create a workbench where we can run Jupyter.
 * *Environment Variable*: Add a new one that's a _Config Map -> Key/value_ and enter
 ** *Get value by running*: `oc get service mlflow-server -n mlops -o go-template --template='http://{{.metadata.name}}.{{.metadata.namespace}}.svc.cluster.local:8080{{println}}'`
 ** *Key*: `MLFLOW_ROUTE`
-** *Value*: `http://<route-to-mlflow>:<port>`, replacing <route-to-mlflow> and <port> with the route and port that we found in step one. In this case it is `http://mlflow-server.mlflow.svc.cluster.local:8080`.
+** *Value*: `http://<route-to-mlflow>:<port>`, replacing <route-to-mlflow> and <port> with the route and port that we found in step one. In this case it is
+[,url]
+----
+ http://mlflow-server.mlflow.svc.cluster.local:8080
+----
 * *Cluster Storage*: Create new persistent storage - Call it "Credit Fraud Storage" and set the size to 20GB.
 
 //figure 4 
@@ -66,8 +70,11 @@ Open the workbench and login if needed.
 == Train the model
 
 When inside the workbench (Jupyter), we are going to clone a GitHub repository which contains everything we need to train (and run) our model.
-You can clone the GitHub repository by pressing the GitHub button in the left side menu (see image), then select "Clone a Repository" and enter this GitHub URL: https://github.com/arslankhanali/credit-fraud-detection-demo
-
+You can clone the GitHub repository by pressing the GitHub button in the left side menu (see image), then select "Clone a Repository" and enter this GitHub URL:
+[,url]
+----
+https://github.com/arslankhanali/credit-fraud-detection-demo
+----
 //figure 5 
 .Open the model folder
 image::mlops-fraud-detection/mfd-open-model-folder.png[link="/images/mlops-fraud-detection/mfd-open-model-folder.png", width=640]