GradientVector

smile.cas.GradientVector
case class GradientVector(y: Var, x: VectorVar) extends Vector

The derivative of a scalar y with respect to a vector x.

Attributes

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Supertypes
trait Serializable
trait Product
trait Equals
trait Vector
trait Tensor
class Object
trait Matchable
class Any
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Members list

Value members

Concrete methods

override def apply(env: Map[String, Tensor]): Vector

Applies the expression.

Applies the expression.

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Definition Classes
override def d(dx: Var): Vector

Returns the partial derivative.

Returns the partial derivative.

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Definition Classes
override def d(dx: VectorVar): Matrix

Returns the Jacobian matrix.

Returns the Jacobian matrix.

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Definition Classes
override def size: IntScalar

The size of vector.

The size of vector.

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Definition Classes
override def toString: String

Returns a string representation of the object.

Returns a string representation of the object.

The default representation is platform dependent.

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Returns

a string representation of the object.

Definition Classes
Any

Inherited methods

def *(y: Vector): Scalar

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Inherited from:
Vector
def *(y: Scalar): Vector

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Inherited from:
Vector
def *~(y: Vector): Matrix

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Inherited from:
Vector
def +(y: Vector): Vector

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Inherited from:
Vector
def -(y: Vector): Vector

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Inherited from:
Vector
def /(y: Scalar): Vector

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Inherited from:
Vector
def apply(env: (String, Tensor)*): Vector

Applies the expression.

Applies the expression.

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Inherited from:
Vector

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Inherited from:
Product

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Inherited from:
Product
override def rank: Option[Int]

The rank of tensor, i.e. the number of dimensions.

The rank of tensor, i.e. the number of dimensions.

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Definition Classes
Inherited from:
Vector
override def shape: Option[Array[IntScalar]]

The shape of tensor, i.e the size of each dimension.

The shape of tensor, i.e the size of each dimension.

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Definition Classes
Inherited from:
Vector

Simplify the expression.

Simplify the expression.

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Inherited from:
Vector

Attributes

Inherited from:
Vector

Attributes

Inherited from:
Vector