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Available patches for Watson OpenScale for IBM Cloud Pak for Data

Preventive Service Planning


Abstract

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

Content

Use the following links to jump to the list of patches for each version of Watson OpenScale.

 
Watson OpenScale 3.5 patches
cpd-aiopenscale-3.5.1-patch-1
This patch applies only if you have installed IBM Watson OpenScale version 3.5.1.
Patch name

cpd-aiopenscale-3.5.1-patch-1
Released on 1 September 2021
Service assembly aiopenscale
Applies to service version Watson OpenScale 3.5.1
Applies to platform version Cloud Pak for Data 3.5.1
Patch type
Additive
You must install Watson OpenScale 3.5.1 before you apply this patch.
Description
This patch addresses some of the performance issues with monitor evaluations on wide data sets and huge volumes of data. After you install this patch, you can see an improvement in the time that it takes to generate an explanation and compute fairness and drift.
This patch applies to x86 systems and can be applied only by using the air-gapped clusters installation instructions. You cannot roll back this patch.
Instructions
cpd-aiopenscale-3.5.0-patch-1
This patch applies only if you have installed IBM Watson OpenScale version 3.5.0.
Patch name

cpd-aiopenscale-3.5.0-patch-1
Released on 4 December 2020
Service assembly aiopenscale
Applies to service version Watson OpenScale 3.5.0
Applies to platform version Cloud Pak for Data 3.5.0
Patch type
Additive
You must install Watson OpenScale 3.5.0 before you apply this patch.
Description
This patch adds the ability to do batch processing of large datasets. After you install this patch you can configure Watson OpenScale to work in batch mode. You must have a custom machine learning provider and subscription and then you can configure an Apache Hive database and an Apache Spark analytics engine. The batch processor points to a source database and, working with the already-scored data, it computes and writes metrics to a target database. This means that millions of transactions can be processed without bringing the data into the datamart.
This patch applies to both x86 and POWER systems.
Instructions

Watson OpenScale 3.0.1 patches
The following patches are available for IBM Watson OpenScale version 3.0.1.
wos-3.0.1.6
 
Patch name wos-3.0.1.6
Released on 30 April 2021
Service assembly aiopenscale
Applies to service version Watson OpenScale 3.0.1
Applies to platform version Cloud Pak for Data 3.0.1
Patch type
Cumulative
Description
This patch resolves the following issues:
  • Fix for buffer overflow vulnerability in Python standard libraries - CVE-2021-3177.
  • Fix for certificate bypassing vulnerability in the Java SDK - CVE-2020-14782.
This patch applies to both x86 and POWER systems.
Instructions
wos-3.0.1.5
 
Patch name wos-3.0.1.5
Released on 28 January 2021
Service assembly aiopenscale
Applies to service version Watson OpenScale 3.0.1
Applies to platform version Cloud Pak for Data 3.0.1
Patch type
Additive
You must install wos-3.0.1.4 before you apply this patch.
Description
This patch resolves the following issues:
  • Fix for Python crytography vulnerability - CVE-2020-25659.
  • Fix for Node.js y18n and semantic-release vulnerabilities - CVE-2020-7774, CVE-2020-26226.
  • Fix for Python ipaddress module vulnerability - CVE-2020-14422.
  • Missing Kafka credentials cause an error. Watson Machine Learning fails to send payload logging records to Watson OpenScale. 
This patch applies to both x86 and POWER systems.
Instructions
wos-3.0.1.4
 
Patch name wos-3.0.1.4
Released on 12 August 2020
Service assembly aiopenscale
Applies to service version Watson OpenScale 3.0.1
Applies to platform version Cloud Pak for Data 3.0.1
Patch type
Additive
You must install wos-3.0.1.3 before you apply this patch.
Description
This patch resolves the following issues:
  • The machine learning gateway sends the meta fields to the model when explainability service does scoring of perturbations.
  • Improved time series explanations with "sample_around_instance": true flag.
  • Ability to store features_count attribute in explain config and is used in image explanations.
  • The image function model is enabled.
  • Bigram text explanations generated when using the parameter "ngrams": [2]
  • Trigram text explanations generated when using the parameter "ngrams": [3]
  • Generating explanations by excluding stop words "exclude_stopwords": true. Only for existing unigram explanations. Not applicable in bi/trigram scenario.
This patch applies to x86 only (the issues don't exist on POWER).
Instructions
 
wos-3.0.1.3
 
Patch name wos-3.0.1.3
Released on 10 August 2020
Service assembly aiopenscale
Applies to service version Watson Openscale 3.0.1
Applies to platform version Cloud Pak for Data 3.0.1
Patch type
Additive
You must install wos-3.0.1.2 before you apply this patch.
Description
This patch resolves the following issues:
  • Sending the meta fields to the model when explainability service does scoring of perturbations.
This patch applies to x86 only (the issues don't exist on POWER).
Instructions
 
wos-3.0.1.2
 
Patch name wos-3.0.1.2
Released on 20 July 2020
Service assembly aiopenscale
Applies to service version Watson Openscale 3.0.1
Applies to platform version Cloud Pak for Data 3.0.1
Patch type
Additive
You must install wos-3.0.1.1 before you apply this patch.
Description
This patch resolves the following issues:
  • Security issues in Node.js (CVE-2020-11080, CVE-2020-8172, CVE-2020-8174)
  • A security issue in International Components for Unicode (ICU) for C/C++ (CVE-2020-10531)
This patch applies to both x86 and POWER systems.
Instructions
wos-3.0.1.1
 
Patch name wos-3.0.1.1
Released on 30 June 2020
Service assembly aiopenscale
Applies to service version Watson Openscale 3.0.1
Applies to platform version Cloud Pak for Data 3.0.1
Patch type
Cumulative
Description
This patch resolves the following issues:
  • A security issue in jackson-databind library (CVE-2017-7525, CVE-2017-17485, CVE-2018-5968)
  • Two separate issues with explainability that involved images and special characters.
     
This patch applies to x86 only (the issues don't exist on POWER).
Instructions
 

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Document Information

Modified date:
01 September 2021

UID

ibm15693744

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