Connecting Watson Machine Learning Accelerator to Watson Machine Learning

After deploying both the Watson Machine Learning service and the Watson Machine Learning Accelerator service, you can connect the two services to share training resources and use Watson Machine Learning resources with Watson Machine Learning Accelerator.

1. In WML, run the updateWMLClusterdetails.sh command line utility which allows WML to locate and use a WML Accelerator instance. The script is located in the latest WML case package.
   1. Obtain and extract the WML files from the case package (ibm-wml-cpd-4.0.7.tgz).

      tar -zxvf ibm-wml-cpd-4.0.7.tgz

   2. Navigate to the ibm-wml-cpd/inventory/wmlOperatorSetup/files directory.
   3. Export the Watson Machine Learning namespace.

      export NAMESPACE=wml-namespace

      where wml-namespace is the name of the Watson Machine Learning namespace.
   4. Run the updateWMLClusterdetails.sh script.

      sh updateWMLClusterdetails.sh wmla-console-routename 443 wml-ig wml-ig-edt wml-routename

      where:

      • wmla-console-routename is the full Watson Machine Learning Accelerator console routing name. To obtain the console routing name, issue the following command:

        oc get route/wmla-console -o jsonpath={.spec.host} -n wmla-namespace

      • wml-routename is the Watson Machine Learning route name. To obtain the route name, issue the following command:

        oc get route/cpd-namespace-cpd -o jsonpath={.spec.host} -n cpd-namespace

        where cpd-namespace is the Cloud Pak for Data namespace.

      For example:

      sh updateWMLClusterdetails.sh wmla-console-wmla.apps.wml.lab.ibm.com 443 wml-ig wml-ig-edt <wml_routename>

2. Verify that the connection was successful by checking that the Deep Learning experiment option is available.