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    Interface TrainModelInput

    Input to TrainingEngine.trainModel. A standalone/manual train is the default; pass experimentSessionIterationId to hang the run off a generic Experiment Session Iteration (plan §4.4) during an agent-driven search.

    interface TrainModelInput {
        experimentSessionIterationId?: string;
        labelEventDates?: Record<string, Date>;
        maxRows?: number;
        pipelineId: string;
        primaryKeyField?: string;
        sidecarVersion?: string;
    }
    Index

    Properties

    experimentSessionIterationId? labelEventDates? maxRows? pipelineId primaryKeyField? sidecarVersion?

    Properties

    experimentSessionIterationId?: string

    Optional MJ: Experiment Session Iterations id this run belongs to. NULL / omitted for a one-off standalone train outside a session.

    labelEventDates?: Record<string, Date>

    Optional per-record label-event dates (keyed by record primary key). Feature assembly's offset as-of mode reads them, but training refuses every as-of mode other than none before assembly (AsOfSettingHasNoEffectError), so training does not use them today.

    maxRows?: number

    Optional cap on training rows pulled from the target entity.

    pipelineId: string

    Id of the MJ: ML Training Pipelines row to train.

    primaryKeyField?: string

    Optional primary-key field on the target entity (defaults to ID).

    sidecarVersion?: string

    Sidecar version string recorded in model lineage (provenance).

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