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Available patches for Watson Machine Learning for IBM Cloud Pak for Data

Preventive Service Planning


Abstract

This document lists the available patches for the Watson Machine Learning service on IBM Cloud Pak for Data. Not all versions include patches. Only versions that include patches are shown.

Content

Use the following links to locate the patches for each Cloud Pak for Data version:
 
Cloud Pak for Data 3.0.1 patches
cpd-3.0.1-wml-patch-5
Patch name cpd-3.0.1-wml-patch-5 
Released on
10 February 2021 (for x86)
Service assembly wml
Applies to service version Watson Machine Learning 3.0.1
Applies to platform version Cloud Pak for Data 3.0.1
Patch type
Cumulative
Description
The patch includes the following fixes for x86:
  • Fixed VA scan issues.
  • Support for Python 3.7.
Instructions
cpd-3.0.1-wml-patch-4
Patch name cpd-3.0.1-wml-patch-4 
Released on
26 October 2020 (for x86)
10 February 2021 (for Power)
Service assembly wml
Applies to service version Watson Machine Learning 3.0.1
Applies to platform version Cloud Pak for Data 3.0.1
Patch type
Cumulative
Description
The patch includes the following fixes for x86:
  • Fix for DB connection from Shiny apps deployed to Watson Machine Learning.
  • Fix for upgrade to Cloud Pak for Data 3.5.0.
The patch includes the following fixes for Power:
  • Fixed VA scan issues.
  • Support for Python 3.7.
Instructions
cpd-3.0.1-wml-patch-3
Patch name cpd-3.0.1-wml-patch-3
Released on
5 October 2020 (for x86)
26 October 2020 (for Power)
Service assembly wml
Applies to service version Watson Machine Learning 3.0.1
Applies to platform version Cloud Pak for Data 3.0.1
Patch type
Cumulative
Description
The patch includes the following fixes for x86:
  • Support for OpenShift 4.5.4.
  • Vulnerability fixes for all service images.
This patch includes the following fixes for Power:
  • Fix for DB connection from Shiny apps deployed to Watson Machine Learning.
  • Fix for upgrade to Cloud Pak for Data 3.5.0.
Instructions
cpd-3.0.1-wml-patch-2
Patch name cpd-3.0.1-wml-patch-2
Released on
29 July 2020 (for x86)
9 September 2020 (for Power)
Service assembly wml
Applies to service version Watson Machine Learning 3.0.1
Applies to platform version Cloud Pak for Data 3.0.1
Patch type
Cumulative
Description
The patch includes the following fix for x86:
  • Includes the gcc/g++ compiler for custom libraries on Scikit 0.20 and Scikit 0.22.
The patch includes the following fixes for Power:
  • Support for OpenShift 4.5.4
  • Vulnerability fixes for all service images
Instructions
Important for only x86: After you apply the patch, cpd-3.0.1-wml-patch-2,  for x86, you must restart the wml-os-manager-0 pod so that the changes to the configmap are applied.
Use the following command:
oc delete pod wml-os-manager-0
cpd-3.0.1-wml-patch-1
Patch name cpd-3.0.1-wml-patch-1
Released on 2 July 2020
Service assembly wml
Applies to service version Watson Machine Learning 3.0.1
Applies to platform version Cloud Pak for Data 3.0.1
Patch type
Additive
Description
The patch includes the following fix:
  • Resolves the jackson-databind vulnerability issue for x86 and POWER:
    • x86: wml-autoai-kb:v.0.1.413.0.9
    • POWER: wml-autoai-kb-ppc64le:v.0.1.68.0.12
Instructions See Applying patches.
Cloud Pak for Data 2.5.0 patches
cpd-2.5.0.0-wml-patch-2
Patch name cpd-2.5.0.0-wml-patch-2
Released on 25 February 2021
Service assembly wml
Applies to service version Watson Machine Learning 2.5.0
Applies to platform version Cloud Pak for Data 2.5.0
Patch type
Cumulative
Description
The patch includes the following fixes:
  • Vulnerability fixes for all service images.
  •  Python 3.7 support
  • Spark 2.4 support
Instructions
cpd-2.5.0.0-wml-patch-1
Patch name cpd-2.5.0.0-wml-patch-1
Released on 20 October 2020
Service assembly wml
Applies to service version Watson Machine Learning 2.5.0
Applies to platform version Cloud Pak for Data 2.5.0
Patch type
Cumulative
Description
The patch includes the following fixes:
  • Vulnerability fixes for all service images.
Instructions

Before applying the patch,  do the following steps:

  1. Note the wml-etcd pod name by using the following command:  

    oc get pods | grep wml-etcd

  2. Apply the patch.  See Applying patches.

Important: After applying the patch, if you see the following error from the newly spawned wml-etcd pod:

 wml-etcd-xxxxxxx-xxxxx  0/1  PostStartHookError: command '/bin/sh -c /usr/local/bin/adduser.sh' exited with 2:    86

Complete the following steps:
  1. kubectl scale --replicas=0 deployment wml-etcd
  2. Wait for wml-etcd pods to terminate
  3. kubectl scale --replicas=1 deployment wml-etcd

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Document Information

Modified date:
19 April 2021

UID

ibm15693732