Java-Scheme Laboratory

Constructor Detail

• GeneralisedExponential

  public GeneralisedExponential(int n)

• GeneralisedExponential

  public GeneralisedExponential(Vec x)

Method Detail

• toString

  public java.lang.String toString()

  Overrides:

  toString in class java.lang.Object

• setInput

  public void setInput(Vec in)

  Description copied from interface: Model
  model should begin observing this vector

  Specified by:

  setInput in interface Model

• getSize

  public int getSize()

  Description copied from interface: Model
  return size of vector this model expects

  Specified by:

  getSize in interface Model

• dispose

  public void dispose()

  Specified by:

  dispose in interface Model

  Specified by:

  dispose in interface Task

  Overrides:

  dispose in class NullTask

• getEnergyVector

  public VVector getEnergyVector()

• getEnergySignal

  public VDouble getEnergySignal()

• getEnergy

  public double getEnergy()

  Description copied from interface: Model
  return E = -log p(x)

  Specified by:

  getEnergy in interface Model

• getGradient

  public double[] getGradient()

  Description copied from interface: Model
  return dE/dx

  Specified by:

  getGradient in interface Model

• getAlphas

  public VVector getAlphas()

• run

  public void run()

  Specified by:

  run in interface SafeTask

  Specified by:

  run in interface Task

  Overrides:

  run in class NullTask

• infer

  public void infer()

  Description copied from interface: Model
  should infer values latent variables

  Specified by:

  infer in interface Model

• compute

  public void compute()

  Description copied from interface: Model
  contract is that getEnergy and getGradient must return correct values for current x after infer and compute has been called, but not necessarily before. This is to give model an opportunity to cache values of energy and gradient to avoid repeated computations.

  Specified by:

  compute in interface Model

• functionx

  public Functionx functionx()

  Description copied from interface: Model
  This presents a more functional interface to the model so that it can be driven by an optimiser. See classes Functionx and MinimiserBase in package samer.maths.opt.

  Specified by:

  functionx in interface Model

• getTrainer

  public GeneralisedExponential.Trainer getTrainer()

• digamma

  public static double digamma(double t)