Uses of Package
model

Packages that use model

diviner	Provides functionality for measuring the level of promise of a design candidates.
iterator	Provides iterator classes.
model	Provides classes that handle various kinds of approximation models, data fits, and so on.

Classes in model used by diviner

ApproxModel
Extends the DataFit interface by supporting methods that compute the uncertainty at a point in addition to a value.

Classes in model used by iterator

ApproxModel
Extends the DataFit interface by supporting methods that compute the uncertainty at a point in addition to a value.

PenaltyFunctionModel
Computes mean and variance for an external penalty function augmented Lagrangian.

Classes in model used by model

ApproxModel
Extends the DataFit interface by supporting methods that compute the uncertainty at a point in addition to a value.

BasicApproxModel
Basic implementation of the methods in ApproxModel.

BasicCorrelationFunction
Basic implementation of a correlation function for GPs.

BasicCorrelationFunction.TYPE
Encodes correlation function types: EXP = exponential, SE = squred exponential, default is SE>

DataFit
A DataFit is a ScalarFunction that also provides the VariableInputDimension and VariableBounds interfaces, thereby allowing its DEFAULT_BOUNDS and dimensionality to be modified.

DifferentiableCorrelationFunction
A correlation function which is differentiable w.r.t its length-scale parameters.

GPRegression
Creation process: Set tau (compulsory), set prior mean and covariance, set bounds, init().

GPRegression.STATE
Encodes the state of the GP.

SECorrelationFunction
Squared exponential correlation function.

TwoFidelityApproxModel
Fits an approximate model to the difference between given data and a low-order approximation of the oracle that generated that data.