Uses of Interface
jgpml.covariancefunctions.CovarianceFunction
Packages that use CovarianceFunction
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Uses of CovarianceFunction in jgpml
Constructors in jgpml with parameters of type CovarianceFunctionModifierConstructorDescriptionGaussianProcess
(CovarianceFunction covFunction) Creates a new GP object. -
Uses of CovarianceFunction in jgpml.covariancefunctions
Classes in jgpml.covariancefunctions that implement CovarianceFunctionModifier and TypeClassDescriptionclass
Linear covariance function with Automatic Relevance Determination (ARD).class
Linear covariance function with a single hyperparameter.class
Neural network covariance function with a single parameter for the distance measure.class
Neural network covariance function with a single parameter for the distance measure and white noise.class
Independent covariance function, ie "white noise", with specified variance.class
Squared Exponential covariance function with Automatic Relevance Detemination (ARD) distance measure.class
Squared Exponential covariance function with isotropic distance measure.class
Composes a covariance function as the sum of other covariance functions.Constructors in jgpml.covariancefunctions with parameters of type CovarianceFunctionModifierConstructorDescriptionCovSum
(int inputDimensions, CovarianceFunction... f) Create a newCovarianceFunction
as sum of theCovarianceFunction
s passed as input.