Update katib example to use user profile (#1633)

* Update katib example to use user profile

* make list

content/docs/components/hyperparameter-tuning/hyperparameter.md

@@ -105,11 +105,22 @@ The random algorithm example uses an MXNet neural network to train an image
 classification model using the MNIST dataset. The experiment runs three 
 training jobs with various hyperparameters and saves the results.
 
-Run the following command to launch an experiment using the random algorithm
+Run the following commands to launch an experiment using the random algorithm
 example:
 
+1. Download the example:
 ```
-kubectl apply -f https://raw.githubusercontent.com/kubeflow/katib/master/examples/v1alpha3/random-example.yaml
+curl https://raw.githubusercontent.com/kubeflow/katib/master/examples/v1alpha3/random-example.yaml --output random-example.yaml
+```
+
+1. Edit `random-example.yaml` and change the following line to use your Kubeflow user profile namespace:
+```
+Namespace: kubeflow
+```
+
+1. Deploy the example:
+```
+kubectl apply -f random-example.yaml
 ```
 
 This example embeds the hyperparameters as arguments. You can embed
@@ -134,7 +145,7 @@ The output of the above command should look similar to this:
 
 ```
 Name:         random-example
-Namespace:    kubeflow
+Namespace:    <your user namespace> 
 Labels:       controller-tools.k8s.io=1.0
 Annotations:  <none>
 API Version:  kubeflow.org/v1alpha3