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Spark Runtime Support: integration of Spark as an ”external runtime”, whereby ModelOp Center orchestrates and manages the execution of jobs within Spark, persisting all metadata and job execution information with each version of a model
Starter Monitoring Templates: additional out-of-the-box “starter MLC’s” for Spark Execution for drift monitoring, concept drift monitoring, and back testingbacktesting
Govern:
Model Code Scanning: support for integration with Veracode for model code scanning, including verification of passing scans within a Model Lifecycle
Credentials Management: support for integration with Vault for credentials management for core services
MLC Templates: simplified out-of-the-box MLC templates that can be used/customized
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Jobs page: updated Jobs page to allow orchestration across Spark and other model execution platforms, as well as an intuitive wizard to launch jobs
Create snapshot: provided an intuitive wizard to create snapshots
Admin page (beta): modified todisplay the status of core ModelOp Center services to aid troubleshooting
MLC Tagging: modified MLC’s MLCs to be case insensitive for model tags
MLC Details: include included an additional description of each MLC, including inputs/outputs and tags used
MLC UX: provided additional visibility into MLC processing, including current state and any incidents
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