IBM Cloud¶

Requirements¶

Starting work with IBM Cloud 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, 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.