org.encog.ml

## Interface CalculateScore

- All Known Implementing Classes:
    EmptyScoreFunction, MultiObjectiveFitness, TrainingSetScore, ZeroEvalScoreFunction

      public interface CalculateScore

  Used by simulated annealing and genetic algorithms to calculate the score for a machine learning method. This allows networks to be ranked. We may be seeking a high or a low score, depending on the value the shouldMinimize method returns.

- - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `double` | `calculateScore(MLMethod method)` Calculate this network's score.
    `boolean` | `requireSingleThreaded()`
    `boolean` | `shouldMinimize()`

- - ### Method Detail

    - #### calculateScore

          double calculateScore(MLMethod method)

      Calculate this network's score.
      Parameters:
        `method` - The ML method.
      Returns:
        The score.

    - #### shouldMinimize

          boolean shouldMinimize()

      Returns:
        True if the goal is to minimize the score.

    - #### requireSingleThreaded

          boolean requireSingleThreaded()

      Returns:
        True, if this score function cannot be done in parallel.

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