public static class Sigmoid.Parametric extends Object implements ParametricUnivariateFunction
sigmoid function, ordered
as follows:
| Constructor and Description |
|---|
Sigmoid.Parametric() |
public double value(double x,
double... param)
throws NullArgumentException,
DimensionMismatchException
x.value in interface ParametricUnivariateFunctionx - Value for which the function must be computed.param - Values of lower asymptote and higher asymptote.NullArgumentException - if param is null.DimensionMismatchException - if the size of param is
not 2.public double[] gradient(double x,
double... param)
throws NullArgumentException,
DimensionMismatchException
x.
The components of the gradient vector are the partial
derivatives of the function with respect to each of the
parameters (lower asymptote and higher asymptote).gradient in interface ParametricUnivariateFunctionx - Value at which the gradient must be computed.param - Values for lower asymptote and higher asymptote.x.NullArgumentException - if param is null.DimensionMismatchException - if the size of param is
not 2.Copyright © 2003–2016 The Apache Software Foundation. All rights reserved.