Threshold

Full name Microsoft.VisualBasic.MachineLearning.ComponentModel.Activations.Threshold Assembly Microsoft.VisualBasic.MachineLearning Members 6

Threshold activation function.

00 Remarks

The class represents threshold activation function with the next expression:

f(x) = 1, if x >= 0, otherwise 0

Output range of the function: [0, 1].

Functions graph:

01 Syntax

Microsoft.VisualBasic.MachineLearning.ComponentModel.Activations.Threshold

02 Methods

Name	Overloads	Summary
.ctor	1	Initializes a new instance of the Threshold class.
Function	1	Calculates function value.
CalculateDerivative	1	The threshold function is not differentiable, so that this method always returns zero.
Derivative	1	Calculates function derivative (not supported).
ToString	1	Display this activation function as a text expression.

03 Properties

Name	Overloads	Summary
Store	1	Gets the XML serializable data model of this threshold function.

04 Members

method .ctor #

#ctor

Initializes a new instance of the Threshold class.

method Function #

Function(Double)

Calculates function value.

Remarks

The method calculates function value at point x.

Parameters

Name	Type	Description
`x`	`Double`	Function input value.

Returns

Function output value, f(x).

method CalculateDerivative #

CalculateDerivative(Double)

The threshold function is not differentiable, so that this method always returns zero.

Parameters

Name	Type	Description
`x`	`Double`	Function input value.

Returns

Always returns 0.

method Derivative #

Derivative(Double)

Calculates function derivative (not supported).

Remarks

The method is not supported, because it is not possible to calculate derivative of the function.

Parameters

Name	Type	Description
`x`	`Double`	Input value.

Returns

Always returns 0.

method ToString #

ToString

Display this activation function as a text expression.

Returns

A text expression in format like Threshold().

property Store #

Store

Gets the XML serializable data model of this threshold function.

Returns

A ActiveFunction data model which its function name is Threshold and no argument is required.