SymbolicRegressionFunctions

java.lang.Object
+
- jcgp.backend.function.FunctionSet
- +
  - jcgp.backend.function.SymbolicRegressionFunctions
  +
+

+
+
+
```
public class SymbolicRegressionFunctions
+extends FunctionSet
```
+
This class contains all symbolic regression functions + (defined as double functions in the classic CGP implementation) + in static nested classes. +
+ This is the function set used by SymbolicRegressionProblem.
+
+
Author:
+
Eduardo Pedroni
+
See Also:
+
SymbolicRegressionProblem
+
+

+ +

Nested Class Summary

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

Nested Classes
Modifier and Type	Class and Description
`static class`	`SymbolicRegressionFunctions.Absolute` + Absolute returns the positive value of input 0. +
`static class`	`SymbolicRegressionFunctions.Addition` + Addition returns the sum of inputs 0 and 1. +
`static class`	`SymbolicRegressionFunctions.Cosine` + Cosine function, in radians. +
`static class`	`SymbolicRegressionFunctions.CosineAB` + Cosine of sum. +
`static class`	`SymbolicRegressionFunctions.Division` + Protected division, returns the quotient of input 0 (the dividend) and input 1 (the divisor). +
`static class`	`SymbolicRegressionFunctions.Exponential` + Exponential function. +
`static class`	`SymbolicRegressionFunctions.HyperbolicCosine` + Returns the hyperbolic cosine of input 0. +
`static class`	`SymbolicRegressionFunctions.HyperbolicSine` + Returns the hyperbolic sine of input 0. +
`static class`	`SymbolicRegressionFunctions.HyperbolicTangent` + Returns the hyperbolic tangent of input 0. +
`static class`	`SymbolicRegressionFunctions.Hypotenuse` + Hypotenuse function. +
`static class`	`SymbolicRegressionFunctions.LogBaseTen` + Protected log base 10 function. +
`static class`	`SymbolicRegressionFunctions.Multiplication` + Multiplication returns the product of inputs 0 and 1. +
`static class`	`SymbolicRegressionFunctions.NaturalLog` + Protected natural log function. +
`static class`	`SymbolicRegressionFunctions.Power` + Power function. +
`static class`	`SymbolicRegressionFunctions.Reciprocal` + Protected reciprocal function, returns (1 / input 0). +
`static class`	`SymbolicRegressionFunctions.Sine` + Sine function, in radians. +
`static class`	`SymbolicRegressionFunctions.SineAB` + Sine of sum. +
`static class`	`SymbolicRegressionFunctions.SquareRoot` + Protected square root function, returns the square root of the absolute + value of input 0. +
`static class`	`SymbolicRegressionFunctions.Subtraction` + Subtraction returns the difference between inputs 0 and 1. +
`static class`	`SymbolicRegressionFunctions.Tangent` + Protected tangent function, in radians. +

+ +

+ + +
Field Summary
+ + + + + + + + + + +
Fields
Modifier and Type Field and Description
static double DIVISION_LIMIT
+

Fields
Modifier and Type	Field and Description
`static double`	`DIVISION_LIMIT`

+ +

+ + +
Constructor Summary
+ + + + + + + + +
Constructors
Constructor and Description
SymbolicRegressionFunctions() +
Creates a new instance of SymbolicRegressionFunctions.
+
+

Constructors
Constructor and Description
`SymbolicRegressionFunctions()` + Creates a new instance of SymbolicRegressionFunctions. +

+ +

+ + +
Method Summary
+
- + + +
  Methods inherited from class jcgp.backend.function.FunctionSet
  +disableFunction, enableFunction, getAllowedFunction, getAllowedFunctionCount, getFunction, getMaxArity, getTotalFunctionCount, isEnabled
+
- + + +
  Methods inherited from class java.lang.Object
  +equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
+

+ +
- + + +
  Field Detail
  + + + +
  - +
    DIVISION_LIMIT
    +
```
public static final double DIVISION_LIMIT
```
    +
    +
    See Also:
    +
    Constant Field Values
    +
    +
  +
+ +
- + + +
  Constructor Detail
  + + + +
  - +
    SymbolicRegressionFunctions
    +
```
public SymbolicRegressionFunctions()
```
    +
    Creates a new instance of SymbolicRegressionFunctions.
    +
  +
+

Class SymbolicRegressionFunctions

Nested Class Summary

Field Summary

Constructor Summary

Method Summary

Methods inherited from class jcgp.backend.function.FunctionSet

Methods inherited from class java.lang.Object

Field Detail

DIVISION_LIMIT

Constructor Detail

SymbolicRegressionFunctions