com.cra.figaro.algorithm.learning

EMTerminationCriteria

abstract class EMTerminationCriteria extends AnyRef

Termination criteria for EM algorithms. A termination criteria can be passed as an argument to the EM apply method.

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AnyRef, Any
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MaxIterations, SufficientStatisticsMagnitudes
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Instance Constructors

  1. new EMTerminationCriteria()

Type Members

  1. type SufficientStatistics = Map[Parameter[_], Seq[Double]]

Abstract Value Members

  1. abstract def apply(s: SufficientStatistics): Boolean

Concrete Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  5. def clone(): AnyRef

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  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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  9. final def getClass(): Class[_]

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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  12. final def ne(arg0: AnyRef): Boolean

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. final def synchronized[T0](arg0: ⇒ T0): T0

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  16. def toString(): String

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  17. final def wait(): Unit

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  18. final def wait(arg0: Long, arg1: Int): Unit

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  19. final def wait(arg0: Long): Unit

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