Method Detail

• exponentialDecay

  public static LearningFactorFunction exponentialDecay(double initValue,
                                        double valueAtNumCall,
                                        long numCall)

  Creates an exponential decay function. It will compute a e-x / b, where x is the (integer) independent variable and

  • a = initValue
  • b = -numCall / ln(valueAtNumCall / initValue)

  Parameters:

  initValue - Initial value, i.e. value(0).

  valueAtNumCall - Value of the function at numCall.

  numCall - Argument for which the function returns valueAtNumCall.

  Returns:

  the learning factor function.

  Throws:

  OutOfRangeException - if initValue <= 0 or initValue > 1.

  NotStrictlyPositiveException - if valueAtNumCall <= 0.

  NumberIsTooLargeException - if valueAtNumCall >= initValue.

  NotStrictlyPositiveException - if numCall <= 0.

• quasiSigmoidDecay

  public static LearningFactorFunction quasiSigmoidDecay(double initValue,
                                         double slope,
                                         long numCall)

  Creates an sigmoid-like LearningFactorFunction function. The function f will have the following properties:

  • f(0) = initValue
  • numCall is the inflexion point
  • slope = f'(numCall)

  Parameters:

  initValue - Initial value, i.e. value(0).

  slope - Value of the function derivative at numCall.

  numCall - Inflexion point.

  Returns:

  the learning factor function.

  Throws:

  OutOfRangeException - if initValue <= 0 or initValue > 1.

  NumberIsTooLargeException - if slope >= 0.

  NotStrictlyPositiveException - if numCall <= 0.