softmax
Computes the softmax (a.k.a. logSum) of an object. Softmax is defined as \log \sum_i \exp(x(i)), but implemented in a more numerically stable way. Softmax is so-called because it is a differentiable function that tends to look quite a lot like max. Consider log(exp(30) + exp(10)). That's basically 30. We use softmax a lot in machine learning.
Type members
Classlikes
Inherited types
Value members
Concrete methods
Inherited methods
final def apply[V1, @specialized(Int, Double, Float) V2, @specialized(Int, Double, Float) V3, @specialized(Int, Double, Float) VR](v1: V1, v2: V2, v3: V3)(implicit impl: Impl3[V1, V2, V3, VR]): VR
- Inherited from:
- UFunc
final def apply[@specialized(Int, Double, Float) V1, @specialized(Int, Double, Float) V2, @specialized(Int, Double, Float) VR](v1: V1, v2: V2)(implicit impl: Impl2[V1, V2, VR]): VR
- Inherited from:
- UFunc
final def apply[@specialized(Int, Double, Float) V, @specialized(Int, Double, Float) VR](v: V)(implicit impl: Impl[V, VR]): VR
- Inherited from:
- UFunc
final def inPlace[V, V2, V3](v: V, v2: V2, v3: V3)(implicit impl: InPlaceImpl3[softmax.type, V, V2, V3]): V
- Inherited from:
- UFunc
Implicits
Implicits
implicit def reduceDouble[T](implicit iter: CanTraverseValues[T, Double], maxImpl: Impl[T, Double]): Impl[T, Double]
implicit def reduceFloat[T](implicit iter: CanTraverseValues[T, Float], maxImpl: Impl[T, Float]): Impl[T, Float]