 BatchDiffFunction

trait BatchDiffFunction[T] extends DiffFunction[T] with (T, IndexedSeq[Int]) ⇒ Double

A diff function that supports subsets of the data. By default it evaluates on all the data

Self Type
BatchDiffFunction[T]
Linear Supertypes
(T, IndexedSeq[Int]) ⇒ Double, DiffFunction[T], StochasticDiffFunction[T], (T) ⇒ Double, AnyRef, Any
Known Subclasses
Ordering
1. Alphabetic
2. By inheritance
Inherited
1. BatchDiffFunction
2. Function2
3. DiffFunction
4. StochasticDiffFunction
5. Function1
6. AnyRef
7. Any
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Visibility
1. Public
2. All

Abstract Value Members

1. abstract def calculate(x: T, batch: IndexedSeq[Int]): (Double, T)

Calculates the value and gradient of the function on a subset of the data

2. abstract def fullRange: IndexedSeq[Int]

The full size of the data

Concrete 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. def apply(x: T, batch: IndexedSeq[Int]): Double

Definition Classes
BatchDiffFunction → Function2
8. final def apply(x: T): Double

Definition Classes
StochasticDiffFunction → Function1
9. final def asInstanceOf[T0]: T0

Definition Classes
Any
10. 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
BatchDiffFunctionStochasticDiffFunction
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. def curried: (T) ⇒ (IndexedSeq[Int]) ⇒ Double

Definition Classes
Function2
Annotations
@unspecialized()
14. final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
15. def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
16. def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
17. final def getClass(): Class[_]

Definition Classes
AnyRef → Any

calculates the gradient at a point

calculates the gradient at a point

Definition Classes
BatchDiffFunctionStochasticDiffFunction
19. def gradientAt(x: T, batch: IndexedSeq[Int]): T

Calculates the gradient of the function on a subset of the data

21. def hashCode(): Int

Definition Classes
AnyRef → Any
22. final def isInstanceOf[T0]: Boolean

Definition Classes
Any
23. final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
24. final def notify(): Unit

Definition Classes
AnyRef
25. final def notifyAll(): Unit

Definition Classes
AnyRef
26. final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
27. 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
28. def toString(): String

Definition Classes
Function2 → AnyRef → Any
29. def tupled: ((T, IndexedSeq[Int])) ⇒ Double

Definition Classes
Function2
Annotations
@unspecialized()
30. def valueAt(x: T): Double

calculates the value at a point

calculates the value at a point

Definition Classes
BatchDiffFunctionStochasticDiffFunction
31. def valueAt(x: T, batch: IndexedSeq[Int]): Double

Calculates the value of the function on a subset of the data

32. final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
33. final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
34. final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )