com.aliasi.stats
Class BernoulliConstant

java.lang.Object
  com.aliasi.stats.AbstractDiscreteDistribution
      com.aliasi.stats.MultivariateDistribution
          com.aliasi.stats.BernoulliDistribution
              com.aliasi.stats.BernoulliConstant

All Implemented Interfaces:

DiscreteDistribution

public class BernoulliConstant
extends BernoulliDistribution

A BernoulliConstant implements a Bernoulli distribution with a constant probability of success.

Since:

LingPipe2.0

Version:

2.0

Author:

Bob Carpenter

Field Summary

Fields inherited from class com.aliasi.stats.BernoulliDistribution

FAILURE_LABEL, SUCCESS_LABEL

Constructor Summary

BernoulliConstant(double successProbability)
Construct a constant Bernoulli distribution with the specified success probability.

Method Summary

double

successProbability() Returns the constant success probability for this distribution.

Methods inherited from class com.aliasi.stats.BernoulliDistribution

label, maxOutcome, numDimensions, probability, variance

Methods inherited from class com.aliasi.stats.MultivariateDistribution

log2Probability, minOutcome, outcome, probability

Methods inherited from class com.aliasi.stats.AbstractDiscreteDistribution

cumulativeProbability, cumulativeProbabilityGreater, cumulativeProbabilityLess, entropy, log2Probability, mean

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

BernoulliConstant

public BernoulliConstant(double successProbability)

Construct a constant Bernoulli distribution with the specified success probability.

Parameters:

successProbability - Probability of success for this Bernoulli distribution.

Throws:

IllegalArgumentException - If the specified probability is not between 0.0 and 1.0 inclusive.

Method Detail

successProbability

public double successProbability()

Returns the constant success probability for this distribution.

Specified by:

successProbability in class BernoulliDistribution

Returns:

The constant success probability for this distribution.