Financial Services Model Management and Governance (OFS MMG) Application Pack, v8.1.2.0.0 Maintenance Level Release #5 (8.1.2.5.0)

Description

OFS MMG 8.1.2.0.0 Maintenance Release #5 8.1.2.5.0 (ID 35744607).

This release of the OFS MMG Application Pack is cumulative of all enhancements and bug fixes completed since the v8.1.2.0.0 release.

NOTE: For information about the Hardware and Software Requirements for this release, see the Oracle Financial Services Analytical Applications 8.1.2.0.0 Technology Matrix.

How to Apply this Release?

For instructions on how to install this OFS MMG Application Pack Release, see the Oracle Financial Services Model Management and Governance Application Pack Installation Guide, Release 8.1.2.5.0.

New Features and Enhancements in this Release

1          Workspaces

         Workspace Population: Populate a subset of selected tables

         Simple Expression Builder provided for SQL Filters in the Workspace Population screen

         Added escape-delimiter-character parameter in File Data Store

         Data Population filters support custom and system runtime parameters

         Ability to use Import Archive and Templates to update Data Source schema without changing the selected database objects

2         UI/UX Enhancements

         Sidebar menu replaced with the all new Mega menu

         Data Studio menu options moved out from workspaces to the global menu

         Improved UI messages and logging

         Standardized layouts and controls on all screens

         UI/UX improvements in line with Redwood design

3         Model Pipelines

         New split Pipeline Builder UI for easier interaction with canvas and node configurations simultaneously

         New widgets for Feature Engineering, Model Training, and Stream Analytics

         Ability to create sub-pipeline containers

         Stitch already published Model Pipelines into a composite Pipeline

         Support for all kinds of dynamic forms like Data Picker and Sliders, in Parameter Sets and executions UIs

         Automatic cleanup of �dummy node� or non-existence paragraphs in Pipeline

         Support of Bulk edit of Parameters Set values

         You can now customize number of approval and escalation levels

         Integration of Model Deployment workflow with Notifications

         Ability to view Pipeline or Notebook by default when a Model is opened in Sandbox. This is via a service level configuration.

         Breadcrumbs added to the Pipeline Details screen

         Switch to different versions within the Canvas screen

         API Registry access allowed from Model Pipelines screen

         Introduction of new screen for the Deployment Workflow

         Option to show Executed Only paragraphs introduced in Outputs/Compare of Pipeline Execution History

         Option to attach Conda and Parameter Set dependencies from the Publish model screen

         When adding a new paragraph, application automatically inherit the previous/ incoming paragraph's link type.

4        Identity Management

         JIT sync of username/email ID

5         Graphs

         Out-of-the-box graphs analysis notebooks supported. Additionally, you can now create and manage notebooks for analyzing graphs directly from the Graphs details screen.

         PGX upgraded to 23.4.3 version

         Enhanced Data pipeline interface

         Reset Graph metadata utility resets all metadata related to a particular graph ID

6        Model Catalog

         Model builder optionally generates model evaluation metrics

         Model builder supports scoring of external model

         Ability to upload Model to the server from the client system

         Access Model Catalog from Model Pipeline Details screen

         Model Technique/Library � Support to Multi-line for all the Signatures

7         Kafka Support

         Automatic discovery and listing of Topics in the registered Kafka clusters

         New overview screen to see sample records and other details of a Topic

8        Datasets

         New overview screen to view features, profile metrics, and sample records at a glance

         New data visualization and feature maintenance screen introduced

         Ability to download sample records of datasets in CSV format

         Create New Feature option to import any custom Python library introduced

         One-click Data Drift configuration by pre-filling all necessary fields enabled

         Support for attaching Conda environment during Dataset creation

         Ability to update Data elements with different Data sources and their database objects provided

9        Data Studio

         Data Studio upgraded to 23.4.3 version

10      Data Pipeline

         Data pipelines are now available as Standalone. With this enhancement, you can:

o    Define a Standalone pipeline to move data from one data source to the configured/mapped target data source.

o    Create and manage data pipelines for efficient data flow and processing.

To execute this pipeline, you must create a batch/task with component as DATA_PIPELINE in the Scheduler Service component.

For more details, see MMG User Guide.

11       General

         By default, a Sample Workspace has been added which provides a demo view of the MMG concepts/features.

For more details, see MMG User Guide.

Known Issues and Limitations in this release

Limitations:

         Encode categorical feature transform fails with MODIN data frame library if the selected features contain different values.

         Cache functionality might not work as intended while using MODIN data frame library.

         Select all data sourcing objects does not work as intended during workspace provisioning.

         Error log table creation fails if the column data types are LONG, CLOB, BLOB, BFILE, and ADT during Sandbox data population.

         The PDF of the Model Report does not contain data in the output section.

         Unable to perform dataset cache with Modin library.

         In the Log in screen, the user name provided must be in uppercase.

         Miniconda required for conda provisioning must be installed on User Home Directory.

         Paragraph names if added/modified from Notebook tab will not be persisted.

         Deployment of Models published from the Model Summary screen will not promote the associated dependencies such as Graphs, Parameter Sets, Datasets, and Models.

NOTE: Publishing of Models option from the Model Summary screen will not be deprecated and continue in the upcoming releases.