Package

edu.umass.cs.automan.core.policy

aggregation

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package aggregation

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Type Members

  1. class AdversarialPolicy extends ScalarPolicy

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    This policy aggregates a set of discrete-valued responses into a single best response using the adversarial scheme outlined in the AutoMan OOPSLA '12 paper.

  2. abstract class AggregationPolicy extends AnyRef

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  3. final class AgreementSimulation extends AnyRef

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  4. class BootstrapEstimationMetaPolicy extends MetaAggregationPolicy

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  5. class BootstrapEstimationPolicy extends AggregationPolicy

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  6. trait MetaAggregationPolicy extends AnyRef

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  7. trait MinimumSpawnPolicy extends AnyRef

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  8. class MultiBootstrapEstimationPolicy extends AggregationPolicy

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  9. class PrecompTable extends Serializable

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  10. abstract class ScalarPolicy extends AggregationPolicy

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  11. class SimpleVectorPolicy extends VectorPolicy

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  12. case class UserDefinableSpawnPolicy(num: Int) extends MinimumSpawnPolicy with Product with Serializable

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  13. abstract class VectorPolicy extends AggregationPolicy

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Value Members

  1. object PictureClause

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  2. object PrecompTable extends Serializable

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  3. def bonferroni_confidence(confidence: Double, num_comparisons: Int): Double

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    Find the multiple-comparisons-adjusted confidence level using the Bonferroni-Holm adjustment.

    Find the multiple-comparisons-adjusted confidence level using the Bonferroni-Holm adjustment.

    confidence

    The unadjusted confidence level.

    num_comparisons

    The number of comparisons.

    returns

    The adjusted confidence level.

    Attributes
    protected[edu.umass.cs.automan.core.policy]

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