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java.lang.Objectec.Problem
ec.gp.GPProblem
ec.app.regression.Regression
public class Regression
Regression implements the Koza (quartic) Symbolic Regression problem.
The equation to be regressed is y = x^4 + x^3 + x^2 + x, {x in [-1,1]}
This equation was introduced in J. R. Koza, GP II, 1994.
Parameters
| base.data classname, inherits or == ec.app.regression.RegressionData |
(the class for the prototypical GPData object for the Regression problem) |
| base.size int >= 1 |
(the size of the training set) |
Parameter bases
| base.data | species (the GPData object) |
| Field Summary | |
|---|---|
double |
currentValue
|
RegressionData |
input
|
double[] |
inputs
|
double[] |
outputs
|
static java.lang.String |
P_SIZE
|
int |
trainingSetSize
|
| Fields inherited from class ec.gp.GPProblem |
|---|
data, P_DATA, P_GPPROBLEM, P_STACK, stack |
| Fields inherited from class ec.Problem |
|---|
P_PROBLEM |
| Constructor Summary | |
|---|---|
Regression()
|
|
| Method Summary | |
|---|---|
java.lang.Object |
clone()
Creates a new individual cloned from a prototype, and suitable to begin use in its own evolutionary context. |
void |
evaluate(EvolutionState state,
Individual ind,
int subpopulation,
int threadnum)
Evaluates the individual in ind, if necessary (perhaps not evaluating them if their evaluated flags are true), and sets their fitness appropriately. |
double |
func(double x)
|
void |
setup(EvolutionState state,
Parameter base)
Sets up the object by reading it from the parameters stored in state, built off of the parameter base base. |
| Methods inherited from class ec.gp.GPProblem |
|---|
defaultBase, describe |
| Methods inherited from class ec.Problem |
|---|
canEvaluate, closeContacts, describe, evaluate, finishEvaluating, getBase, initializeContacts, prepareToEvaluate, reinitializeContacts, setBase |
| Methods inherited from class java.lang.Object |
|---|
equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Methods inherited from interface ec.simple.SimpleProblemForm |
|---|
canEvaluate, describe, describe, evaluate |
| Field Detail |
|---|
public static final java.lang.String P_SIZE
public double currentValue
public int trainingSetSize
public double[] inputs
public double[] outputs
public RegressionData input
| Constructor Detail |
|---|
public Regression()
| Method Detail |
|---|
public double func(double x)
public java.lang.Object clone()
PrototypeTypically this should be a full "deep" clone. However, you may share certain elements with other objects rather than clone hem, depending on the situation:
Implementations.
public Object clone()
{
try
{
return super.clone();
}
catch ((CloneNotSupportedException e)
{ throw new InternalError(); } // never happens
}
public Object clone()
{
try
{
MyObject myobj = (MyObject) (super.clone());
// put your deep-cloning code here...
}
catch ((CloneNotSupportedException e)
{ throw new InternalError(); } // never happens
return myobj;
}
public Object clone()
{
MyObject myobj = (MyObject) (super.clone());
// put your deep-cloning code here...
return myobj;
}
clone in interface Prototypeclone in class GPProblem
public void setup(EvolutionState state,
Parameter base)
PrototypeFor prototypes, setup(...) is typically called once for the prototype instance; cloned instances do not receive the setup(...) call. setup(...) may be called more than once; the only guarantee is that it will get called at least once on an instance or some "parent" object from which it was ultimately cloned.
setup in interface Prototypesetup in interface Setupsetup in class GPProblem
public void evaluate(EvolutionState state,
Individual ind,
int subpopulation,
int threadnum)
SimpleProblemForm
evaluate in interface SimpleProblemFormevaluate in class Problem
|
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