Network.GetForecastGradient Method

NetworkGetForecastGradient Method

Returns the derivatives of the outputs with respect to the Weights evaluated at x.

Namespace: Imsl.DataMining.Neural
Assembly: ImslCS (in ImslCS.dll) Version: 6.5.2.0

Syntax

public abstract double[,] GetForecastGradient(
	double[] x
)

Public MustOverride Function GetForecastGradient ( 
	x As Double()
) As Double(,)

public:
virtual array<double,2>^ GetForecastGradient(
	array<double>^ x
) abstract

abstract GetForecastGradient : 
        x : float[] -> float[,]

x: Type: SystemDouble
A double array which specifies the input values at which the gradient is to be evaluated.

Type: Double
A double array containing the gradient values. The value of gradient[i][j] is

, where

is the i-th output and

is the j-th weight.