LogisticFunction

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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. final def asInstanceOf[T0]: T0

   

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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. def logistic(t: VectorD, a: Double, b: Double): VectorD

    

    Compute the vector of values of the logistic function applied to vector 't'.

    Compute the vector of values of the logistic function applied to vector 't'. The values are computed in-place.

    t

    the logistic function argument

    a

    the shift parameter

    b

    the spread parameter

13. def logistic(t: Double, a: Double, b: Double): Double

    

    Compute the value of the logistic function at 't'.

    Compute the value of the logistic function at 't'.

    t

    the logistic function argument

    a

    the shift parameter

    b

    the spread parameter

14. def logit(p: Double): Double

    

    Compute the log of the odds of an event ocurring (e.g., success, 1).

    Compute the log of the odds of an event ocurring (e.g., success, 1). The inverse of the logit function is the standard logistic function (sigmoid function).

    p

    the probability, a number between 0 and 1.

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

    

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16. final def notify(): Unit

    

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17. final def notifyAll(): Unit

    

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18. def sigmoid(t: VectorD): VectorD

    

    Return the vector of values of the sigmoid function applied to vector 't.' The values are computed in-place.

    Return the vector of values of the sigmoid function applied to vector 't.' The values are computed in-place.

    t

    the sigmoid function vector argument

19. def sigmoid(t: Double): Double

    

    Compute the value of the sigmoid function at 't'.

    Compute the value of the sigmoid function at 't'. This is a special case of the logistic function, where 'a = 0' and 'b = 1'. It is also referred to as the standard logistic function. It is also the inverse of the logit function.

    t

    the sigmoid function argument

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

    

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21. def toString(): String

    

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22. final def wait(): Unit

    

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

    

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

    

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