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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 | |
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MarginalProducts()
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Method Summary | |
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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 |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public MarginalProducts()
Method Detail |
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public void learn(Individual[] individuals)
learn
in interface ProbDistribution
individuals
- 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 ProbDistribution
nIndividuals:
- Number of individuals that must be sampled.
public LiOResourceDefinition getDefinition()
getDefinition
in interface LiOResource
public static void main(java.lang.String[] args)
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