Package | Description |
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gov.sandia.cognition.learning.algorithm.bayes |
Provides algorithms for computing Bayesian categorizers.
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gov.sandia.cognition.statistics |
Provides the inheritance hierarchy for general statistical methods and distributions.
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gov.sandia.cognition.statistics.bayesian |
Provides algorithms for computing Bayesian estimates of parameters.
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gov.sandia.cognition.statistics.distribution |
Provides statistical distributions.
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Modifier and Type | Class and Description |
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class |
VectorNaiveBayesCategorizer<CategoryType,DistributionType extends UnivariateProbabilityDensityFunction>
A naive Bayesian categorizer that takes an input vector and applies an
independent scalar probability density function to each one.
|
static class |
VectorNaiveBayesCategorizer.Learner<CategoryType,DistributionType extends UnivariateProbabilityDensityFunction>
A supervised batch distributionLearner for a vector Naive Bayes categorizer.
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static class |
VectorNaiveBayesCategorizer.OnlineLearner<CategoryType,DistributionType extends UnivariateProbabilityDensityFunction>
An online (incremental) distributionLearner for the Naive Bayes
categorizer that uses an incremental distribution learner for the
distribution representing each dimension for each category.
|
Modifier and Type | Method and Description |
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UnivariateProbabilityDensityFunction |
SmoothCumulativeDistributionFunction.getDerivative() |
UnivariateProbabilityDensityFunction |
SmoothUnivariateDistribution.getProbabilityFunction() |
UnivariateProbabilityDensityFunction |
UnivariateProbabilityDensityFunction.getProbabilityFunction() |
Modifier and Type | Method and Description |
---|---|
double |
RejectionSampling.ScalarEstimator.estimateScalarFactor(UnivariateProbabilityDensityFunction sampler)
Estimates the minimum scalar needed for the sampler distribution to
envelope the conjunctive distribution
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Constructor and Description |
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ScalarEstimator(BayesianParameter<java.lang.Double,? extends ProbabilityFunction<ObservationType>,? extends UnivariateProbabilityDensityFunction> conjunctive,
java.lang.Iterable<? extends ObservationType> data)
Creates a new instance of ScalarEstimator
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Modifier and Type | Class and Description |
---|---|
static class |
BetaDistribution.PDF
Beta distribution probability density function
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static class |
CauchyDistribution.PDF
PDF of the CauchyDistribution.
|
static class |
ChiSquareDistribution.PDF
PDF of the Chi-Square distribution
|
static class |
ExponentialDistribution.PDF
PDF of the ExponentialDistribution.
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static class |
GammaDistribution.PDF
Closed-form PDF of the Gamma distribution
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static class |
InverseGammaDistribution.PDF
PDF of the inverseRootFinder-Gamma distribution.
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static class |
LaplaceDistribution.PDF
The PDF of a Laplace Distribution.
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static class |
LogisticDistribution.PDF
PDF of the LogisticDistribution
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static class |
LogNormalDistribution.PDF
PDF of a Log-normal distribution
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static class |
ParetoDistribution.PDF
PDF of the ParetoDistribution
|
static class |
ScalarMixtureDensityModel.PDF
PDF of the SMDM
|
static class |
StudentTDistribution.PDF
Evaluator that computes the Probability Density Function (CDF) of
a Student-t distribution with a fixed number of degrees of freedom
|
static class |
UniformDistribution.PDF
Probability density function of a Uniform Distribution
|
static class |
UnivariateGaussian.PDF
PDF of the underlying Gaussian.
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static class |
WeibullDistribution.PDF
PDF of the Weibull distribution
|