list_evaluators
Retrieve all workspace Evaluators with each current version's ID and declared Metrics to select which Evaluators an Experiment runs.
Instructions
Lists the Evaluators in the workspace.
An Evaluator is a versioned Python function that judges a Session and reports named Metrics. Each entry carries its newest version's id and the Metrics that version declares (name, shape, grain and, for a closed Label, its vocabulary), but not the source. Evaluators belong to the workspace, not to a pipeline; an Experiment picks which ones run on its pipeline. :returns: The Evaluators, or an error message.
The output is automatically stored and can be referenced in other functions.
Returns a formatted preview with an object ID (e.g., @obj_123).
Use the object store tools in combination with the object ID to view nested properties of the object.
Use the returned object ID to pass this result to other functions.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||