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org.emmalanguage.lib.ml.classification

naiveBayes

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object naiveBayes

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@lib()
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Type Members

  1. case class Model[L](label: L, pi: Double, theta: DVector) extends Product with Serializable

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  2. type ModelType = naiveBayes.ModelType.Value

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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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  4. object ModelType extends Enumeration

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  5. def apply[ID, L](D: Int, lambda: Double, modelType: ModelType)(data: DataBag[LDPoint[ID, L]])(implicit arg0: Meta[ID], arg1: Meta[L]): DataBag[Model[L]]

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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

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  18. def toString(): String

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  19. final def wait(): Unit

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

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

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