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 ParametricUnivariateFunction
x
- 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 ParametricUnivariateFunction
x
- 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.