Installing WML for z/OS

The WML for z/OS component contains the runtime environments, integrated systems, and core services for model deployment, scoring, and management. You can install and run WMLz as a standalone machine learning solution.

Before you begin

  • The following installation tasks are intended for z/OS system programmers and administrators.
  • Before you start to install WMLz, review the Installation roadmap and make sure that you've completed all preceding tasks in the sequence.

Procedure

  1. Locate the SMP/E images, PTFs, and program directories that you already obtained and transferred onto your z/OS system. See Obtaining SMP/E images, program directories, and maintenance packages for WML for z/OS for details.
  2. Install WMLz.
  3. Follow the instructions in the Program Directory for WML for z/OS Enterprise edition to run the SMP/E program and install WMLz Enterprise.
    1. The SMP/E program installs WMLz Enterprise in the default /usr/lpp/IBM/aln/v3r1/core directory and /usr/lpp/IBM/aln/v3r1/ent directory, which are referred to as $IML_INSTALL_DIR and $IML_INSTALL_ENT_DIR respectively.
      The core directory structure should look similar to the following example:
      |-- alnsamp
      |-- bin
      |-- configuration
      |   |-- defaults
      |   `-- generated
      |-- extra
      |   |-- examples
      |   `-- log4j2.properties
      |-- iml-library
      |-- iml-services
      |-- iml-utilities
      |-- iml-zostools
      |-- nodejs
      |-- spark
      `-- usr
          |-- extension
          |   |-- installableApps
          |   |   `-- scoring-wola.war
          |   `-- lib
          |       `-- iml_1.0.0.jar
          `-- servers
      The enterprise directory structure should look similar to the following example:
      |-- cics-scoring
      |-- iml-onnx
      |-- iml-portal
      |-- imlpython
      |-- node_modules
      `-- pyz
    2. Apply all available maintenance packages that will bring your WMLz to the latest code level of v3.1.0.

      See Prerequisites and maintenance for IBM Machine Learning for z/OS for a list of APARs and corresponding PTFs.

  4. Optionally, provision a zCX instance on the system or prepare a Linux® on Z server with Docker installed if you want to enable and configure WMLz to support your ONNX models. See Provisioning a zCX instance for instructions.
    • Before starting zCX provisioning, meet all the hardware and software requirements as described in Requirements for zCX.
    • Prepare a <docker_user> ID for configuring and managing the ONNX container in your zCX instance or the Linux on Z server. The ID can be a Docker administrator or a Docker user who must have the privileges to log in zCX or the Linux on Z server through SSH by using an ssh key or a password. See Additional configuration steps for details.
  5. Verify that SMP/E was successfully executed for all images and PTFs.