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    Interface PipelineConfig

    The resolved, ready-to-persist configuration for one MJ: ML Training Pipelines row.

    interface PipelineConfig {
        algorithmName: string;
        asOf: AsOfStrategy;
        description: string;
        featureSteps: FeatureStepGraph;
        leakageGuard: LeakageGuard;
        name: string;
        problemType: ProblemType;
        sourceBindings: SourceBinding[];
        targetEntityName: string;
        targetVariable: string;
        validation: ValidationStrategy;
    }
    Index

    Properties

    algorithmName asOf description featureSteps leakageGuard name problemType sourceBindings targetEntityName targetVariable validation

    Properties

    algorithmName: string

    The algorithm NAME the chosen experiment proposes (resolved to AlgorithmID by the builder).

    asOf: AsOfStrategy

    Point-in-time assembly strategy.

    description: string

    Plain-language description carried onto the pipeline row.

    featureSteps: FeatureStepGraph

    The assembled FeatureStep DAG.

    leakageGuard: LeakageGuard

    Leakage protection (deny-list + dominance threshold).

    name: string

    Human-readable pipeline name (derived from the plan's Goal).

    problemType: ProblemType

    Classification or regression.

    sourceBindings: SourceBinding[]

    Source bindings the features draw from.

    targetEntityName: string

    The training-unit entity NAME (resolved to TargetEntityID by the builder).

    targetVariable: string

    Label column / expression.

    validation: ValidationStrategy

    Validation strategy.

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