LinearFunction

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Summary:
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Method

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java.lang.Object
- cc.glsn.v15.neuralnet.LinearFunction

All Implemented Interfaces:

NetFunction, Serializable
```
public class LinearFunction
extends Object
implements NetFunction
```
Linear activation function. Proably should not be used.
g(x) = 2x - 1
g'(x) = 2

See Also:: Serialized Form

Constructor Summary

Constructors
Constructor and Description

LinearFunction()

Method Summary

Methods
Modifier and Type	Method and Description
`double`	`functionG(double x)` get output for input of x
`double`	`functionGprime(double x)` get derivitive of function for input x used for back propogation learning

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - LinearFunction
```
public LinearFunction()
```
- Method Detail
  - functionG
```
public double functionG(double x)
```
    Description copied from interface: NetFunction
    
    get output for input of x
    
    Specified by:
    
    functionG in interface NetFunction
    
    Parameters:
    x - - input
    
    Returns:
    value - g'(x)
  - functionGprime
```
public double functionGprime(double x)
```
    Description copied from interface: NetFunction
    
    get derivitive of function for input x used for back propogation learning
    
    Specified by:
    
    functionGprime in interface NetFunction
    
    Parameters:
    x - - input
    
    Returns:
    derivitive - g'(x)

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