Package | Description |
---|---|
gov.sandia.cognition.learning.function.categorization |
Provides functions that output a discrete set of categories.
|
gov.sandia.cognition.statistics.bayesian.conjugate |
Provides Bayesian estimation routines based on conjugate prior distribution
of parameters of specific conditional distributions.
|
gov.sandia.cognition.statistics.distribution |
Provides statistical distributions.
|
Modifier and Type | Method and Description |
---|---|
BernoulliDistribution |
AbstractConfidenceWeightedBinaryCategorizer.evaluateAsBernoulli(Vectorizable input) |
BernoulliDistribution |
ConfidenceWeightedBinaryCategorizer.evaluateAsBernoulli(Vectorizable input)
Returns a Bernoulli distribution over the output of
the distribution of weight vectors times the input, with the
confidence that the categorizer was trained using.
|
Modifier and Type | Method and Description |
---|---|
BernoulliBayesianEstimator.Parameter |
BernoulliBayesianEstimator.createParameter(BernoulliDistribution conditional,
BetaDistribution prior) |
Constructor and Description |
---|
BernoulliBayesianEstimator(BernoulliDistribution conditional,
BetaDistribution prior)
Creates a new instance of BernoulliBayesianEstimator
|
Parameter(BernoulliDistribution conditional,
BetaDistribution prior)
Creates a new instance
|
Constructor and Description |
---|
BernoulliBayesianEstimator(BayesianParameter<java.lang.Double,BernoulliDistribution,BetaDistribution> parameter)
Creates a new instance of BernoulliBayesianEstimator
|
Modifier and Type | Class and Description |
---|---|
static class |
BernoulliDistribution.CDF
CDF of a Bernoulli distribution.
|
static class |
BernoulliDistribution.PMF
PMF of the Bernoulli distribution.
|
Constructor and Description |
---|
BernoulliDistribution(BernoulliDistribution other)
Copy Constructor
|
CDF(BernoulliDistribution other)
Copy constructor
|
PMF(BernoulliDistribution other)
Copy constructor
|