AzureAIProjectsModelFactory.EvaluationsDimension Method
Definition
Important
Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.
A single dimension — one independent, measurable quality dimension within a rubric evaluator's scoring blueprint.
public static Azure.AI.Projects.Evaluation.EvaluationsDimension EvaluationsDimension(string id = default, string description = default, int weight = 0, bool? alwaysApplicable = default);static member EvaluationsDimension : string * string * int * Nullable<bool> -> Azure.AI.Projects.Evaluation.EvaluationsDimensionPublic Shared Function EvaluationsDimension (Optional id As String = Nothing, Optional description As String = Nothing, Optional weight As Integer = 0, Optional alwaysApplicable As Nullable(Of Boolean) = Nothing) As EvaluationsDimensionParameters
- id
- String
Stable identifier for this dimension (snake_case, e.g., correct_resolution). Required. Provided by the user when manually creating a rubric evaluator or during human-in-the-loop review of a generated set; the generation pipeline produces an initial value the user can edit. Editable when saving new versions.
- description
- String
What this dimension measures (e.g., 'Correctly identifies the user's reservation intent and pursues the appropriate workflow').
- weight
- Int32
Relative weight of this dimension (1-10). The generation pipeline assigns exactly one dimension weight 8-10; all others use 1-6. User edits are not constrained by this heuristic.
When true, the LLM judge always scores this dimension regardless of relevance (skips applicability assessment). The service-generated general quality/policy dimension has this set to true and is non-editable. Users may set this on their own custom dimensions. The service defaults to false if a value is not specified by the caller.
Returns
A new EvaluationsDimension instance for mocking.
