IObjective |
public interface IObjectiveModel : IObjectiveModelEvaluation
The IObjectiveModel type exposes the following members.
| Name | Description | |
|---|---|---|
| DegreeOfFreedom |
Gets the degrees of freedom.
(Inherited from IObjectiveModelEvaluation) | |
| FunctionEvaluations |
Gets or sets the number of calls to the objective function.
(Inherited from IObjectiveModelEvaluation) | |
| Gradient |
Gets the gradient vector. G = J'(y - f(x; p)).
(Inherited from IObjectiveModelEvaluation) | |
| Hessian |
Gets the approximated Hessian matrix. H = J'J.
(Inherited from IObjectiveModelEvaluation) | |
| IsGradientSupported |
Gets a value indicating whether the gradient can be provided by the model.
(Inherited from IObjectiveModelEvaluation) | |
| IsHessianSupported |
Gets a value indicating whether the Hessian can be provided by the model.
(Inherited from IObjectiveModelEvaluation) | |
| JacobianEvaluations |
Gets or sets the number of calls to the Jacobian.
(Inherited from IObjectiveModelEvaluation) | |
| ModelValues |
Gets the y-values of the fitted model that correspond to the independent values.
(Inherited from IObjectiveModelEvaluation) | |
| ObservedY |
Gets the y-values of the observations.
(Inherited from IObjectiveModelEvaluation) | |
| Point |
Gets the values of the parameters.
(Inherited from IObjectiveModelEvaluation) | |
| Value |
Gets the residual sum of squares.
(Inherited from IObjectiveModelEvaluation) | |
| Weights |
Gets the values of the weights for the observations.
(Inherited from IObjectiveModelEvaluation) |
| Name | Description | |
|---|---|---|
| CreateNew |
Creates a new instance of the objective model with identical configuration but independent state.
(Inherited from IObjectiveModelEvaluation) | |
| EvaluateAt | Evaluates the model at the given parameter vector, updating dependent values. | |
| Fork | Creates a forked copy of the model with independent mutable state. | |
| SetParameters | Sets the model parameters and optional fixed flags for individual parameters. | |
| ToObjectiveFunction | Converts this model to an objective function suitable for minimizers. |