Overview
This reference summarizes common operations used across the model lifecycle.Add model
Create a model entry from cloud or local sources. Required inputs:- source type,
- model name,
- modality,
- source-specific connectivity fields.
Update model
Modify metadata and governance context. Common updates:- tags/tasks,
- descriptions,
- ownership,
- external documentation links.
Delete model
Remove model from active catalog use. Pre-checks:- verify no active dependencies,
- confirm replacement path where required.
Run verification or scan
Validate readiness and integrity before promotion. Expected outputs:- pass/fail status,
- issue counts by severity,
- remediation notes.
Run benchmark
Measure runtime performance under defined configuration. Typical outputs:- throughput,
- mean latency/TPOT,
- duration and run status.
Run evaluation
Assess model quality on selected datasets/configurations. Typical outputs:- evaluation result summaries,
- comparative evidence for promotion decisions.