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    Interface PredictiveStudioTrainModelInput

    Input for PredictiveStudio.TrainModel.

    interface PredictiveStudioTrainModelInput {
        asOf?: PredictiveStudioTrainAsOf;
        experimentSessionIterationId?: string;
        labelEventDates?: Record<string, string>;
        maxRows?: number;
        pipelineId: string;
        primaryKeyField?: string;
        sidecarVersion?: string;
    }
    Index

    Properties

    asOf? experimentSessionIterationId? labelEventDates? maxRows? pipelineId primaryKeyField? sidecarVersion?

    Properties

    asOf?: PredictiveStudioTrainAsOf

    Optional as-of strategy override; when omitted the pipeline's stored AsOfStrategy is used.

    experimentSessionIterationId?: string

    Optional MJ: Experiment Session Iterations id this run belongs to (NULL for a one-off standalone train).

    labelEventDates?: Record<string, string>

    Optional per-record label-event dates (keyed by record primary key), required when asOf.Mode is offset.

    maxRows?: number

    Optional cap on the number of 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 the model lineage for provenance.

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