org.apache.commons.math3.ml.neuralnet.sofm.util

## Class QuasiSigmoidDecayFunction

- java.lang.Object
- - org.apache.commons.math3.ml.neuralnet.sofm.util.QuasiSigmoidDecayFunction

-     public class QuasiSigmoidDecayFunction
      extends Object

  Decay function whose shape is similar to a sigmoid.
  Class is immutable.
  Since:
    3.3
  Version:
    $Id: QuasiSigmoidDecayFunction.java 1566092 2014-02-08 18:48:29Z tn $

- - ### Constructor Summary

    Constructors
    Constructor and Description
    `QuasiSigmoidDecayFunction(double initValue, double slope, long numCall)` Creates an instance.

  - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `double` | `value(long numCall)` Computes the value of the learning factor.

    - ### Methods inherited from class java.lang.Object

      `clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

- - ### Constructor Detail

    - #### QuasiSigmoidDecayFunction

          public QuasiSigmoidDecayFunction(double initValue,
                                   double slope,
                                   long numCall)

      Creates an instance. 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.
      Throws:
        `NotStrictlyPositiveException` - if `initValue <= 0`.
        `NumberIsTooLargeException` - if `slope >= 0`.
        `NotStrictlyPositiveException` - if `numCall <= 0`.

  - ### Method Detail

    - #### value

          public double value(long numCall)

      Computes the value of the learning factor.
      Parameters:
        `numCall` - Current step of the training task.
      Returns:
        the value of the function at `numCall`.

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