Cloud Pak for Data as a Service

Requirements

Starting work with IBM Cloud Pak for Data as a Service refer to Getting started section in main product documentation.

Supported machine learning frameworks

For the list of supported machine learning frameworks (models) on IBM Cloud Pak for Data as a Service, refer to Watson Machine Learning Documentation.

Authentication

To use Watson Machine learning APIs, create an instance of APIClient with authentication details.

Note: Depending on the region of your provisioned service instance, use one of the following as your url:

• Dallas: https://us-south.ml.cloud.ibm.com

• London: https://eu-gb.ml.cloud.ibm.com

• Frankfurt: https://eu-de.ml.cloud.ibm.com

• Tokyo: https://jp-tok.ml.cloud.ibm.com

Note: To determine apikey go to https://cloud.ibm.com/iam/apikeys and generate your apikey.

Example of creating the client using apikey:

from ibm_watson_machine_learning import APIClient

wml_credentials = {
                   "url": "https://us-south.ml.cloud.ibm.com",
                   "apikey":"***********"
                  }

client = APIClient(wml_credentials)

Example of creating the client using token:

from ibm_watson_machine_learning import APIClient

wml_credentials = {
                   "url": "https://us-south.ml.cloud.ibm.com",
                   "token":"***********",
                  }

client = APIClient(wml_credentials)

Note: Setting default space/project id is mandatory. For details, refer to client.set.default_space() API in this document.

Hint

You can copy the project_id from Project’s Manage tab (Project -> Manage -> General -> Details).