public class LearningFactorFunctionFactory extends Object
LearningFactorFunction.| Modifier and Type | Method and Description | 
|---|---|
| static LearningFactorFunction | exponentialDecay(double initValue,
                double valueAtNumCall,
                long numCall)Creates an exponential decay  function. | 
| static LearningFactorFunction | quasiSigmoidDecay(double initValue,
                 double slope,
                 long numCall)Creates an sigmoid-like  LearningFactorFunction function. | 
public static LearningFactorFunction exponentialDecay(double initValue, double valueAtNumCall, long numCall)
function.
 It will compute a e-x / b,
 where x is the (integer) independent variable and
 a = initValue
  b = -numCall / ln(valueAtNumCall / initValue)
 initValue - Initial value, i.e.
 value(0).valueAtNumCall - Value of the function at numCall.numCall - Argument for which the function returns
 valueAtNumCall.OutOfRangeException - if initValue <= 0 or initValue > 1.NotStrictlyPositiveException - if valueAtNumCall <= 0.NumberIsTooLargeException - if valueAtNumCall >= initValue.NotStrictlyPositiveException - if numCall <= 0.public static LearningFactorFunction quasiSigmoidDecay(double initValue, double slope, long numCall)
LearningFactorFunction function.
 The function f will have the following properties:
 f(0) = initValuenumCall is the inflexion pointslope = f'(numCall)initValue - Initial value, i.e.
 value(0).slope - Value of the function derivative at numCall.numCall - Inflexion point.OutOfRangeException - if initValue <= 0 or initValue > 1.NumberIsTooLargeException - if slope >= 0.NotStrictlyPositiveException - if numCall <= 0.Copyright © 2003–2016 The Apache Software Foundation. All rights reserved.