|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD | |||||||||
java.lang.Objectlio.probdistributions.bitchain.MarginalProducts
public class MarginalProducts
This class stores the probabilities as marginal distributions of subsets of variables as it is done in EcGA proposed by George Harik.
| Constructor Summary | |
|---|---|
MarginalProducts()
|
|
| Method Summary | |
|---|---|
LiOResourceDefinition |
getDefinition()
Return a LiOResDescription object with the information of each object. |
int[] |
getSample()
Samples some individuals from a probability distribution |
void |
learn(Individual[] individuals)
Learns a probability distribution from a set of data |
static void |
main(java.lang.String[] args)
Main method to test the task. |
void |
print()
Prints the last model learnt. |
Individual[] |
sample(int nIndividuals)
Samples some individuals from a probability distribution |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public MarginalProducts()
| Method Detail |
|---|
public void learn(Individual[] individuals)
learn in interface ProbDistributionindividuals - Set of individiduals from which de distribution
is estimated.public void print()
public int[] getSample()
nIndividuals - Number of individuals that must be sampled.
public Individual[] sample(int nIndividuals)
sample in interface ProbDistributionnIndividuals: - Number of individuals that must be sampled.
public LiOResourceDefinition getDefinition()
getDefinition in interface LiOResourcepublic static void main(java.lang.String[] args)
|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD | |||||||||