Maths

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. def abs(a: List[Double]): Double

   

   Vector L2 norm using list as vector

5. final def asInstanceOf[T0]: T0

   

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6. def bernoulli(x: Int, p: Double): Double

   

   Returns the bernoulli probabilities for an event given a probability for 0

7. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

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8. def distance(a: List[Double], b: List[Double]): Double

   

   Euclidian distance between two vectors

9. def dot(a: List[Double], b: List[Double]): Double

   

   Dot product using lists as vectors

10. def entropy(pc: List[Double]): Double

    

    Shannon entropy

    Shannon entropy

    pc

    Ratio of class instances

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

    

    Definition Classes

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12. def equals(arg0: Any): Boolean

    

    Definition Classes

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13. def factorial(x: Int): Int

    

    The factorial function x!

14. def finalize(): Unit

    

    Attributes

    protected[java.lang]

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    @throws( classOf[java.lang.Throwable] )

15. def finiteLog(x: Double): Double

    

    Takes the log with a lower limit

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

    

    Definition Classes

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17. def gini(pc: List[Double]): Double

    

    Gini impurity

    Gini impurity

    pc

    Ratio of class instances

18. def hashCode(): Int

    

    Definition Classes

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19. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

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20. def logistic(x: Double): Double

    

    Logistic function

21. def mean(l: List[Double]): Double

    

    Returns the mean of a list of values

22. def median(l: List[Double]): Double

    

    Returns the median of a list of values

23. def minus(a: List[Double], b: List[Double]): List[Double]

    

    Vector subtraction using lists as vectors

24. def multinomial(x: List[Int], p: List[Double]): Double

    

    Returns the probability to observe a given histogram

    Returns the probability to observe a given histogram

    x

    Histogram of counts

    p

    Binned probability distribution

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

    

    Definition Classes

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26. def normal(x: Double, m: Double, s: Double): Double

    

    Normal (Gaussian) function

    Normal (Gaussian) function

    x

    Abscissa

    m

    Mean

    s

    Sigma

27. final def notify(): Unit

    

    Definition Classes

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28. final def notifyAll(): Unit

    

    Definition Classes

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29. def plus(a: List[Double], b: List[Double]): List[Double]

    

    Vector addition using lists as vectors

30. def rectangular(x: Double, f: Double, t: Double): Double

    

    Rectangular function

    Rectangular function

    x

    Abscissa

    f

    Lower bound

    t

    Upper bound

31. def round(a: Double, digits: Int): Double

    

    Rounds to specified amount of digits

32. def std(l: List[Double]): Double

    

    Returns the standard deviation of a list of values

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

    

    Definition Classes

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34. def toString(): String

    

    Definition Classes

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35. def triangular(x: Double, m: Double, w: Double): Double

    

    Triangular function

    Triangular function

    x

    Abscissa

    m

    Peak position

    w

    Half width at y = 0

36. def variance(l: List[Double]): Double

    

    Returns the variance of a list of values

37. final def wait(): Unit

    

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

    

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    @throws( ... )

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

    

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    @throws( ... )