ProbabilisticClassifier

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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. implicit object ProbabilisticClassifierFormat extends LazyFormat[ProbabilisticClassifier]

   

5. def addFloatMaps(m1: Map[Int, Float], m2: Map[Int, Float]): Map[Int, Float]

   

6. def addMaps(m1: Map[Int, Int], m2: Map[Int, Int]): Map[Int, Int]

   

7. final def asInstanceOf[T0]: T0

   

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8. def clone(): AnyRef

   

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

   

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10. def equals(arg0: Any): Boolean

    

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11. def finalize(): Unit

    

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

    

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13. def hashCode(): Int

    

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14. final def isInstanceOf[T0]: Boolean

    

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

    

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16. def normalizeDistribution(unnormalizedDist: Seq[(Int, Float)]): Seq[(Int, Float)]

    

    Normalizes an unnormalized distribution over integers.

    Normalizes an unnormalized distribution over integers.

    If the sum of the original masses is zero, then this will return a uniform distribution over the domain.

    unnormalizedDist

    a map from integers to probability mass (not necessarily normalized)

    returns

    the normalized version of the argument distribution

17. final def notify(): Unit

    

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18. final def notifyAll(): Unit

    

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

    

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20. def toString(): String

    

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21. final def wait(): Unit

    

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

    

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

    

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