Developing for WML for z/OS
IBM Watson® Machine Learning for z/OS helps you build machine learning models to extract value from your mission critical data on IBM® Z systems. Use the samples and scenarios to get started with developing comprehensive machine learning algorithms and models in the WML for z/OS user interface.
Before you begin
Tip: WML for z/OS supports the standard view (or desktop version) of Mozilla Firefox and Google Chrome. Make sure that you run the WML for z/OS UI in one of these supported browsers. See Prerequisites and maintenance for IBM Machine Learning for z/OS for browser support details.
- Install and configure WML for z/OS as described in Roadmap for installing and configuring WML for z/OS.
- Understand the following terms:
- Pipeline
- A sequence that loads data, transforms it, and runs it through an estimator to produce an algorithm, or model, that can generate a prediction for each data record.
- Estimator
- Code that receives data as input and identifies patterns to generate the prediction algorithm or model.
- Model
- The algorithm that can detect patterns in a data record to generate a prediction.
Procedure
Complete the following steps to generate machine learning algorithms and deploy them to the production environment where the data resides: