FisherDiffFunction

Value Members

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

   Definition Classes

   AnyRef

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

   Definition Classes

   Any

3. final def ##(): Int

   Definition Classes

   AnyRef → Any

4. final def ==(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

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

   Definition Classes

   Any

6. def andThen[A](g: (Double) ⇒ A): (T) ⇒ A

   Definition Classes

   Function1

   Annotations

   @unspecialized()

7. final def apply(x: T): Double

   Definition Classes

   StochasticDiffFunction → Function1

8. final def asInstanceOf[T0]: T0

   Definition Classes

   Any

9. def calculate(x: T): (Double, T)

   Calculates both the value and the gradient at a point

   Calculates both the value and the gradient at a point

   Definition Classes

   SecondOrderFunction → StochasticDiffFunction

10. def calculate2(x: T): (Double, T, FisherMatrix[T])

    Calculates the value, the gradient, and an approximation to the Fisher approximation to the Hessian

    Calculates the value, the gradient, and an approximation to the Fisher approximation to the Hessian

    Definition Classes

    FisherDiffFunction → SecondOrderFunction

11. def clone(): AnyRef

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

12. def compose[A](g: (A) ⇒ T): (A) ⇒ Double

    Definition Classes

    Function1

    Annotations

    @unspecialized()

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

    Definition Classes

    AnyRef

14. def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

15. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    Definition Classes

    AnyRef → Any

17. def gradientAt(x: T): T

    calculates the gradient at a point

    calculates the gradient at a point

    Definition Classes

    StochasticDiffFunction

18. def hashCode(): Int

    Definition Classes

    AnyRef → Any

19. final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

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

    Definition Classes

    AnyRef

21. final def notify(): Unit

    Definition Classes

    AnyRef

22. final def notifyAll(): Unit

    Definition Classes

    AnyRef

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

    Definition Classes

    AnyRef

24. def throughLens[U](implicit l: Isomorphism[T, U]): DiffFunction[U]

    Lenses provide a way of mapping between two types, which we typically use to convert something to a DenseVector or other Tensor for optimization purposes.

    Lenses provide a way of mapping between two types, which we typically use to convert something to a DenseVector or other Tensor for optimization purposes.

    Definition Classes

    StochasticDiffFunction

25. def toString(): String

    Definition Classes

    Function1 → AnyRef → Any

26. def valueAt(x: T): Double

    calculates the value at a point

    calculates the value at a point

    Definition Classes

    StochasticDiffFunction

27. final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )