TrustRegionParameterCalc Class

Parameter calculation for a logistic regression model. The parameters are computed to maximize the log likelihood function for the model, using a trust region optimization algorithm to compute the zeros of the first order partial derivaties of the log likelihood function. The minimization is performed by an instance of the class CenterSpace.NMath.Core.TrustRegionMinimizer and algorithms parameters may be controlled through this object. It is accessible through the Minimizer class property, and a TrustRegionParameterCalc instace may be constructed with a give TrustRegionMinimizer object which has the desired properties. TrustRegionMinimizer

[SerializableAttribute]
public class TrustRegionParameterCalc : ILogisticRegressionCalc, 
	ICloneable

<SerializableAttribute>
Public Class TrustRegionParameterCalc
	Implements ILogisticRegressionCalc, ICloneable

[SerializableAttribute]
public ref class TrustRegionParameterCalc : ILogisticRegressionCalc, 
	ICloneable

[<SerializableAttribute>]
type TrustRegionParameterCalc = 
    class
        interface ILogisticRegressionCalc
        interface ICloneable
    end