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  • User Experience: minor User Interface enhancements including:

    • New dashboard that displays all Batch deployments by environment, status, etc.

    • Updated Executive Dashboard to allow for drill down into individual monitoring results

    • Ability to filter Access Group display names

  • AWS Cognito: enhancements toModelOp Center’s support for AWS Cognito as an OAuth2 provider

  • Okta: support for integrating ModelOp Center with Okta as an OAuth2 provider

  • AzureAD (MVP): support for integrating ModelOp Center with AzureAD as an OAuth2 provider

  • Gitlab Pipelines (beta): support for integrating with Gitlab pipelines for CICD processes

Specific Details:

Expand

Minor Enhancements:

Bug Fixes:

Full List of Enhancements:

  • Removed schema checking option for Training & Metrics jobs in the Job Wizard

  • Updated the delete endpoint capability to remove the REST roundtrip output endpoint

  • Updated the Job details page to show more information about the Job Result

  • Updated UI to improve handling of OAuth2 token refresh

  • Added popout feature for Log view component for the Runtime Live View

  • Added pre-install of unixODBC to enable pyodbc installation on ModelOp Runtime

  • Added support for monitoring data in Databricks via SparkSQL

  • Updated getRuntimesList endpoint to support DocumentDB

  • Added support for Kerberos-based Kafka integration

  • Added ability to see all Deployed snapshots, including Batch based models

  • Added support for more than 10 columns in the Dashboard heatmap

  • Added capability to clone existing associated models from a prior snapshot when creating a new snapshot

  • Updated Monitors Model Inventory column sorting and filtering

  • Optimized MLC execution by moving to the use of incidents for delegates/external tasks

  • Added support for client to client communication throught JWT

  • Optimized ModelOp Center core services to more accurately indicate status during startup

  • Updated Dashboard to require a DeployedModel instead of finding the latest snapshot

  • Updated the UI to provide a dedicated Scheduler for dashboard execution

  • Added support for refreshing OAuth2 tokens for Ping Fedederate

  • Updated UI for live log tracing

  • Added capability to manually run a test in the UI

  • Added standard thresholds for common risk tests

  • Updated Model Import screen to allow for custom display name

  • Added ability to manually generate documentation from existing test results

  • Added support for provisioning ModelOp Center using Terraform for AWS Fargate-based clusters

  • Added a ModelOp Center preinstall utility

  • Updated Dashboard heatmap to allow direct click-through to results

  • Added support for Helm-based installation of ModelOp Center

  • Added additional OOTB tests/monitors, including ones for Autocorrelation, Homoscedasticity, Linearity, and Multicollinearity metrics

  • Simplified the process for calling the ModelOp Monitors python package from the OOTB registered monitors

  • Fixed DIV issue on the Compliance Overview Page

  • Updated OOTB MLC's to incorporate new Regression-model risk tests

  • Updated document service to provide better error messages when certain values are missing during document generation

  • Added new MLC's to support annual review automations and model risk testing

  • Added comprehensive risk test for Regression models

  • Updated OOTB deployment MLC's to ignore runtime matching for OOTB monitors

  • Added support in the UI for scheduling the Dashboard

  • Fixed issue to support statsmodels version issues with new OOTB monitors/tests

  • Fixed issue with kerberos authentication to Cloudera clusters if the principal is not yarn

  • Optimized MLC execution to handle Business Model vs. System Failure notifications

  • Updated ModelOp Center installation to support multiple OOTB model packages

  • Updated API endpoint to retrieve "Models in Production" to optimize performance

  • Updated document service to allow for multiple model test results to be passed in for manual documentation generation

  • Added MLC delegate to attach a schedule to a Deployed Model

  • Added support for filtering in the tags used in document service

  • Added document template for Annual Model Reviews

  • Updated OOTB monitors to simplify how the backend ModelOp monitors python package is called

  • Addressed identified vulnerabilities with the hadoop-common and hadoop-hdfs libraries

  • Optimized Job execution by moving job validation checking to Job Monitor

  • Fixed issue with expired Oauth2 refresh token for Ping Federate

  • Added support to authenticate the Jupyter notebook plugin with Keycloak

  • Addressed perfomance issues with AWS-RDS MySQL support for MLC Manager

  • Added support for configuring AWS Cognito via Helm

  • Added support for obtaining AWS Cognito tokens for Customer testing accounts

  • Updated AWS Cognito integration to allow for configurable display name for users

Bug Fixes:

  • Expanded support for larger files for large model asset upload (up to 1GB)

  • Fixed javascript TypeError in Runtime Live View Page

  • Removed capability that allows assets to be moved to a modelOp-controlled HDFS folder

  • Fixed javascript Console error during snapshot creation

  • Fixed issue with display for adding assets by URL for models backed by Azure Blob Storage

  • Added sort by organization to Business Model Inventory page

  • Fixed issue with scheduler signal name dropdown box

  • Fixed issue with tag population for document generation service

  • Added support to list out all deployments: batch, REST, kafka

  • Updated the Help and Documentation links

  • Fixed tag filtering issue in the Business Model Inventory

  • Fixed issue with findAllByStateInAndEngineInProductionTrueOrderByCreatedDateDesd endpoint

  • Fixed issue with navigation breadcrumb in the Jobs UI page

  • Fixed UI issue with saving Kafka endpoint configuration

  • Fixed issue when uploading assets to a secure (https) jira instance

  • Updated issue with the CreatedBy field used in secured environments

  • Fixed UI issue with re-running an existing Monitoring job.

  • Fixed sorting issue for Monitors Model Inventory

  • Implemented performance improvements for the Reporting Page

  • Updated Job Wizard to immediately filter to Azure-based assets for Azure-backed model

  • Fixed issue with UI routing to Camunda Cockpit in Openshift

  • Fixed issue with Sagemaker model duplicate imports

  • Fixed UI issue with uploading external file assets when selecting HDFS as a backing store

  • Fixed issue in retrieving Spark job status from a Kerberized Cloudera cluster

  • Fixed issue with UI MLC tab of the snapshot to avoid excessive "flicker" updates

  • Fixed issue with UI navigation breadcrumbs in MLC process instance page

  • Fixed issue where kafka endpoints disappear in the UI after model is deployed

  • Fixed issue with MLC tab of the snapshots page not refreshing properly

  • Updated error message during model import from git when the git repo contains corrupted files