Importing a model from IBM Cloud Pak for Data
If you develop and train Spark, Scikit-learn, PMML, and XGBoost models on IBM Cloud Pak for Data, you can import those models into WML for z/OS for deployment and management.
Before you begin
- Verify that the models you've trained on Cloud Pak for Data support the following machine learning algorithm libraries and release levels:
- Spark 2.4.0 or 2.3.0
- XGBoost 0.82 or 0.90
- Scikit-learn 0.19.x or 0.22.x
- Locate the following access and authorization information:
- User name and password for the WML for z/OS web user interface.
- Host name or IP address, port number, user name, and password of the Cloud Pak for Data system where your Spark, Scikit-learn, PMML, and XGBoost models are.
Procedure
- Sign into the WML for z/OS user interface with your user name and password.
- From the side bar, go to the Model Management page, select the Models tab, and click Import model.
- Click the From Cloud Pak for Data tab.
- Specify the host name or IP address, port number, user name, and password for the Cloud Pak for Data system.
- Select a deployment space where your Spark, Scikit-learn, PMML, or XGBoost models are saved.
- Select a model that you want to import from the specified deployment space.
- Specify a different name for the model if needed.
- Click Import model to import the model.
- Verify that the imported Spark, Scikit-learn, PMML, or XGBoost model shows up on the Models tab of the Model Management page.