ProjectsAgentsModelFactory.OptimizationJobInputs Method
Definition
Important
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Caller-supplied inputs for an optimization job.
public static Azure.AI.Projects.Agents.OptimizationJobInputs OptimizationJobInputs(Azure.AI.Projects.Agents.AgentIdentifier agent = default, Azure.AI.Projects.Agents.DatasetRef trainDatasetReference = default, Azure.AI.Projects.Agents.DatasetRef validationDatasetReference = default, System.Collections.Generic.IEnumerable<string> evaluators = default, Azure.AI.Projects.Agents.OptimizationOptions options = default);static member OptimizationJobInputs : Azure.AI.Projects.Agents.AgentIdentifier * Azure.AI.Projects.Agents.DatasetRef * Azure.AI.Projects.Agents.DatasetRef * seq<string> * Azure.AI.Projects.Agents.OptimizationOptions -> Azure.AI.Projects.Agents.OptimizationJobInputsPublic Shared Function OptimizationJobInputs (Optional agent As AgentIdentifier = Nothing, Optional trainDatasetReference As DatasetRef = Nothing, Optional validationDatasetReference As DatasetRef = Nothing, Optional evaluators As IEnumerable(Of String) = Nothing, Optional options As OptimizationOptions = Nothing) As OptimizationJobInputsParameters
- agent
- AgentIdentifier
The agent (and pinned version) being optimized.
- trainDatasetReference
- DatasetRef
Reference to a registered training dataset (required).
- validationDatasetReference
- DatasetRef
Optional held-out validation dataset for measuring generalization of the final candidate.
- evaluators
- IEnumerable<String>
Job-level evaluators (referenced by name). Per-task criteria may override. Default: ['task_adherence'].
- options
- OptimizationOptions
Tuning knobs and run-mode.
Returns
A new OptimizationJobInputs instance for mocking.
