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    Interface TrainExperimentResult

    The result of training one experiment — the model produced, the training-run leaf (linked to the iteration), the normalized leaderboard score, and the compute/token cost attributed to the attempt (for budget enforcement, §8.4).

    interface TrainExperimentResult {
        ComputeCost?: number;
        model: MJMLModelEntity;
        run: MJMLTrainingRunEntity;
        Score: number;
        TokensUsed?: number;
    }
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    Properties

    ComputeCost? model run Score TokensUsed?

    Properties

    ComputeCost?: number

    Compute cost attributed to this attempt (defaults to 0 when unknown).

    model: MJMLModelEntity

    The immutable MJ: ML Models row produced (Draft).

    run: MJMLTrainingRunEntity

    The MJ: ML Training Runs leaf recording the attempt (linked to the iteration).

    Score: number

    Normalized holdout metric for the plan's SuccessMetric — drives the leaderboard.

    TokensUsed?: number

    LLM tokens used by this attempt (defaults to 0 when unknown).

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