You must compare metrics from many training runs. What do you use?
Why D is the answer
Experiments on Agent Platform
Experiments track and compare runs.
In detail
- Experiments compares metrics across runs.
- Log parameters, so results can be reproduced.
Use case
An illustrative scenario, not a real incident.
A team runs 40 trials and compares their metrics in Experiments.
See it in different ways
flowchart LR A["Run with parameters"] --> B["Experiments logs metrics"] B --> C["Compare runs"] C --> D["ML Metadata records lineage"]
mindmap
root((ML data))
Processing
Dataflow
Features
Feature Store
Prototyping
Workbench
Colab Enterprise
Tracking
Experiments
ML Metadata lineageflowchart LR S0["Run training"] --> S1["Log metrics"] --> S2["Compare in Experiments"]
Key point: Experiments compare runs.
Why the other options are wrong
- A. A Cloud Build trigger
- That runs builds.
- B. A pre-built Translate API
- That translates text.
- C. Cloud Run revisions
- Those are versions of a service.