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 TypeClassDescriptionclassLinear covariance function with Automatic Relevance Determination (ARD).classLinear covariance function with a single hyperparameter.classNeural network covariance function with a single parameter for the distance measure.classNeural network covariance function with a single parameter for the distance measure and white noise.classIndependent covariance function, ie "white noise", with specified variance.classSquared Exponential covariance function with Automatic Relevance Detemination (ARD) distance measure.classSquared Exponential covariance function with isotropic distance measure.classComposes 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 newCovarianceFunctionas sum of theCovarianceFunctions passed as input.