public final class LinearStatisticalExpression extends AbstractMathematicalFunction implements java.io.Serializable
| Modifier and Type | Field and Description |
|---|---|
protected Matrix |
gradient |
protected Matrix |
hessian |
parameterBounds| Constructor and Description |
|---|
LinearStatisticalExpression() |
| Modifier and Type | Method and Description |
|---|---|
Matrix |
getGradient()
This method returns a vector that contains the first derivatives of the function with respect to its parameters.
|
Matrix |
getHessian()
This method returns a matrix that contains the second derivatives of the function with respect to its parameters.
|
java.lang.Double |
getValue()
This method provides the result of the function evaluation.
|
getBeta, getNumberOfParameters, getNumberOfVariables, getParameterValue, getVariableValue, setBeta, setBounds, setParameterValue, setVariableValue, setXpublic java.lang.Double getValue()
EvaluableFunctiongetValue in interface EvaluableFunction<java.lang.Double>getValue in class AbstractMathematicalFunctionpublic Matrix getGradient()
DerivableMathematicalFunctiongetGradient in interface DerivableMathematicalFunctiongetGradient in class AbstractMathematicalFunctionpublic Matrix getHessian()
DerivableMathematicalFunctiongetHessian in interface DerivableMathematicalFunctiongetHessian in class AbstractMathematicalFunction