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    Interface DataFeatureOutput

    interface DataFeatureOutput {
        ConfidenceRef?: string;
        Constraint?: ValueConstraint;
        Description?: string;
        FeatureKind?: FeatureKind;
        MinConfidence?: number;
        Name: string;
        OnLowConfidence?: "null";
        Ref: string;
        Target?: OutputTarget;
    }
    Index

    Properties

    ConfidenceRef? Constraint? Description? FeatureKind? MinConfidence? Name OnLowConfidence? Ref Target?

    Properties

    ConfidenceRef?: string

    Result path of this output's confidence (0..1), e.g. "$.SeniorityConfidence"; for drivers that return none.

    Constraint?: ValueConstraint

    Narrowing/policy ON TOP of what field metadata already implies (D23).

    Description?: string

    Optional human-readable description / instructions for this output.

    FeatureKind?: FeatureKind

    How Predictive Studio should treat it when consumed as a model feature.

    MinConfidence?: number

    The confidence floor (0 < floor <= 1), set with OnLowConfidence; an LLM pipeline also needs ConfidenceRef.

    Name: string

    Stable name — the history row's FeatureName and the model-feature column name.

    OnLowConfidence?: "null"

    What a below-floor answer does: null leaves this output unwritten (LowConfidencePolicy).

    Ref: string

    Result path, e.g. "$.seniority".

    Target?: OutputTarget

    Where the value is written. Absent = feature value only: the value lives only in MJ: Feature Values.

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