[docs]: enhance documentation for chosen namespace (#555)

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ssivart 2019-05-15 17:44:20 +08:00 committed by Kubernetes Prow Robot
parent 1ebcd33881
commit 21f76812ec
1 changed files with 5 additions and 3 deletions

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@ -91,7 +91,9 @@ With our data and workloads ready, now the cluster must be prepared. We will be
In the following instructions we will install our required components to a single namespace. For these instructions we will assume the chosen namespace is `kubeflow`.
```
kubectl config set-context $(kubectl config current-context) --namespace=kubeflow
```
### Training your model
@ -246,7 +248,7 @@ then a number of steps have already been performed for you
* To see the secrets in your cluster
```
kubectl get secrets -n kubeflow
kubectl get secrets
```
3. We granted this service account permission to read/write GCS buckets in this project
@ -596,7 +598,7 @@ kustomize build . | kubectl apply -f -
To access TensorBoard using port-forwarding
```
kubectl -n kubeflow port-forward service/tensorboard-tb 8090:80
kubectl port-forward service/tensorboard-tb 8090:80
```
TensorBoard can now be accessed at [http://127.0.0.1:8090](http://127.0.0.1:8090).