Package model

Provides classes that handle various kinds of approximation models, data fits, and so on.

See:
Description

Interface Summary

ApproxModel	Extends the DataFit interface by supporting methods that compute the uncertainty at a point in addition to a value.
DataFit	A DataFit is a ScalarFunction that also provides the VariableInputDimension and VariableBounds interfaces, thereby allowing its DEFAULT_BOUNDS and dimensionality to be modified.
TwoFidelityApproxModel	Fits an approximate model to the difference between given data and a low-order approximation of the oracle that generated that data.

Class Summary

ApproxModelToVectorFunction	Adapter for converting an ApproxModel to a VectorFunction to be used for multiobjective search in auxiliary problems.
BasicApproxModel	Basic implementation of the methods in ApproxModel.
BasicCorrelationFunction	Basic implementation of a correlation function for GPs.
BasicTwoFidelityModel	Basic two-fidelity approximation model, using an additive surrogate correction.
DifferentiableCorrelationFunction	A correlation function which is differentiable w.r.t its length-scale parameters.
ExponentialCorrelationFunction	Exponential correlation function.
GPRegression	Creation process: Set tau (compulsory), set prior mean and covariance, set bounds, init().
PenaltyFunctionModel	Computes mean and variance for an external penalty function augmented Lagrangian.
SECorrelationFunction	Squared exponential correlation function.

Enum Summary

BasicCorrelationFunction.TYPE	Encodes correlation function types: EXP = exponential, SE = squred exponential, default is SE>
GPRegression.STATE	Encodes the state of the GP.

Package model Description

Provides classes that handle various kinds of approximation models, data fits, and so on.