Fixed Final Issues (#64)

* Fixed Final Issues

README.md

@@ -39,7 +39,7 @@ This documentation helps you get started with the sample from infrastructure set
 - MLOps with GitHub
   - [CI/Pull Request](./docs/ci-pullrequest.md)
   - [CI/Training](./docs/ci-training.md)
-  - [CD/Seldon](./docs/ci-seldon.md)
+  - [CD/Seldon](./docs/cd-seldon.md)
 
 Code for the following can be found in the code directory, but currently there is no documentation:
 

docs/ci-training.md

@@ -13,15 +13,15 @@ Clicking on “Actions” tab at the top, “CI” on the left side, your pull r
 
 ## Access KFP via Kubeflow Central Dashboard
 
-1. Go to http://51.143.118.153/_/pipeline/
+1. Go to http://{KUBEFLOW_HOST}/_/pipeline/
 2. Clicking on the pipeline with the matching RUN_ID, you will get details on failed and finished steps.
 and the job, you will get details on failed, finished, and skipped steps.
 ![Kubeflow Dashboard Pipeline Steps](./diagrams/kubeflow-dashboard.png)
  
  ## Access registered model in MLFlow
 
-1. Go to http://51.143.118.153/_/pipeline/#/runs
+1. Go to http://{KUBEFLOW_HOST}/_/pipeline/#/runs
 2. Clicking the Run name with the Pipeline Version that contains the matching RUN_ID, “register-to-aml”, and “Logs”, you will get execution logs for pipeline steps, which shows the run_id.
-3. Go to http://51.143.118.153/mlflow/#/models/tacosandburritos
+3. Go to http://{MLFLOW_HOST}/mlflow/#/models/tacosandburritos
 4. Clicking on the model version registered at the closest time to the execution of the KFP, you will get details about the Source Run.![MLFlow Model](./diagrams/mlflow-model.png)
 5. Clicking on the Source Run, you will get the external_run_id, which should match the run_id in the register_to_aml pipeline step log. If it does not, try the next registered version of the model. We will add a link between the KFP and registered model at a future date.![MLFlow Model Source Run](./diagrams/mlflow-model-sourcerun.png)